zhongziso
搜索
zhongziso
首页
首页
功能
磁力转BT
BT转磁力
关于
使用教程
免责声明
磁力助手
Udemy - The Data Science Course Complete Data Science Bootcamp 2025 (12.2024)
magnet:?xt=urn:btih:3b3faa780c8e881b100cf6b1ce304e18ed36bb65&dn=Udemy - The Data Science Course Complete Data Science Bootcamp 2025 (12.2024)
磁力链接详情
文件列表详情
3b3faa780c8e881b100cf6b1ce304e18ed36bb65
infohash:
430
文件数量
9.03 GB
文件大小
2025-8-4 21:26
创建日期
2025-8-28 19:58
最后访问
相关分词
Udemy
-
The
Data
Science
Course
Complete
Data
Science
Bootcamp
2025
12
2024
01. Part 1 Introduction/01. A Practical Example What You Will Learn in This Course.mp4 10.76 MB
01. Part 1 Introduction/02. What Does the Course Cover.mp4 9.56 MB
02. The Field of Data Science - The Various Data Science Disciplines/04. Continuing with BI, ML, and AI.mp4 47.55 MB
02. The Field of Data Science - The Various Data Science Disciplines/07. A Breakdown of our Data Science Infographic.mp4 45.37 MB
02. The Field of Data Science - The Various Data Science Disciplines/06. More Examples of Generative AI.mp4 30.54 MB
02. The Field of Data Science - The Various Data Science Disciplines/05. Traditional AI vs. Generative AI.mp4 24.51 MB
02. The Field of Data Science - The Various Data Science Disciplines/01. Data Science and Business Buzzwords Why are there so Many.mp4 15.59 MB
02. The Field of Data Science - The Various Data Science Disciplines/03. Business Analytics, Data Analytics, and Data Science An Introduction.mp4 14.6 MB
02. The Field of Data Science - The Various Data Science Disciplines/02. What is the difference between Analysis and Analytics.mp4 11.16 MB
03. The Field of Data Science - Connecting the Data Science Disciplines/01. Applying Traditional Data, Big Data, BI, Traditional Data Science and ML.mp4 83.53 MB
04. The Field of Data Science - The Benefits of Each Discipline/01. The Reason Behind These Disciplines.mp4 46.77 MB
05. The Field of Data Science - Popular Data Science Techniques/01. Techniques for Working with Traditional Data.mp4 107.18 MB
05. The Field of Data Science - Popular Data Science Techniques/07. Techniques for Working with Traditional Methods.mp4 76.01 MB
05. The Field of Data Science - Popular Data Science Techniques/10. Types of Machine Learning.mp4 69.45 MB
05. The Field of Data Science - Popular Data Science Techniques/03. Techniques for Working with Big Data.mp4 62.12 MB
05. The Field of Data Science - Popular Data Science Techniques/05. Business Intelligence (BI) Techniques.mp4 52.91 MB
05. The Field of Data Science - Popular Data Science Techniques/09. Machine Learning (ML) Techniques.mp4 49.42 MB
05. The Field of Data Science - Popular Data Science Techniques/08. Real Life Examples of Traditional Methods.mp4 36.74 MB
05. The Field of Data Science - Popular Data Science Techniques/12. Real Life Examples of Machine Learning (ML).mp4 27.74 MB
05. The Field of Data Science - Popular Data Science Techniques/11. Evolution and Latest Trends of Machine Learning (ML).mp4 27.32 MB
05. The Field of Data Science - Popular Data Science Techniques/06. Real Life Examples of Business Intelligence (BI).mp4 24.62 MB
05. The Field of Data Science - Popular Data Science Techniques/02. Real Life Examples of Traditional Data.mp4 18.37 MB
05. The Field of Data Science - Popular Data Science Techniques/04. Real Life Examples of Big Data.mp4 13.05 MB
06. The Field of Data Science - Popular Data Science Tools/01. Necessary Programming Languages and Software Used in Data Science.mp4 82.38 MB
07. The Field of Data Science - Careers in Data Science/01. Finding the Job - What to Expect and What to Look for.mp4 40.03 MB
08. The Field of Data Science - Debunking Common Misconceptions/01. Debunking Common Misconceptions.mp4 58.86 MB
09. Part 2 Probability/02. Computing Expected Values.mp4 45.66 MB
09. Part 2 Probability/03. Frequency.mp4 37.37 MB
09. Part 2 Probability/01. The Basic Probability Formula.mp4 29.4 MB
09. Part 2 Probability/04. Events and Their Complements.mp4 25.84 MB
10. Probability - Combinatorics/11. A Practical Example of Combinatorics.mp4 80.69 MB
10. Probability - Combinatorics/06. Solving Combinations.mp4 23.64 MB
10. Probability - Combinatorics/08. Solving Combinations with Separate Sample Spaces.mp4 20.3 MB
10. Probability - Combinatorics/05. Solving Variations without Repetition.mp4 18.25 MB
10. Probability - Combinatorics/02. Permutations and How to Use Them.mp4 17.52 MB
10. Probability - Combinatorics/09. Combinatorics in Real-Life The Lottery.mp4 16.38 MB
10. Probability - Combinatorics/04. Solving Variations with Repetition.mp4 13.95 MB
10. Probability - Combinatorics/07. Symmetry of Combinations.mp4 13.74 MB
10. Probability - Combinatorics/10. A Recap of Combinatorics.mp4 12.1 MB
10. Probability - Combinatorics/03. Simple Operations with Factorials.mp4 10.51 MB
10. Probability - Combinatorics/01. Fundamentals of Combinatorics.mp4 5.94 MB
11. Probability - Bayesian Inference/12. A Practical Example of Bayesian Inference.mp4 139.24 MB
11. Probability - Bayesian Inference/04. Union of Sets.mp4 24.18 MB
11. Probability - Bayesian Inference/11. Bayes' Law.mp4 21.35 MB
11. Probability - Bayesian Inference/10. The Multiplication Law.mp4 20.19 MB
11. Probability - Bayesian Inference/07. The Conditional Probability Formula.mp4 20.07 MB
11. Probability - Bayesian Inference/01. Sets and Events.mp4 17.67 MB
11. Probability - Bayesian Inference/06. Dependence and Independence of Sets.mp4 14.92 MB
11. Probability - Bayesian Inference/08. The Law of Total Probability.mp4 14.21 MB
11. Probability - Bayesian Inference/02. Ways Sets Can Interact.mp4 11.33 MB
11. Probability - Bayesian Inference/09. The Additive Rule.mp4 11.09 MB
11. Probability - Bayesian Inference/03. Intersection of Sets.mp4 11.02 MB
11. Probability - Bayesian Inference/05. Mutually Exclusive Sets.mp4 10.58 MB
12. Probability - Distributions/15. A Practical Example of Probability Distributions.mp4 138.31 MB
12. Probability - Distributions/02. Types of Probability Distributions.mp4 35.59 MB
12. Probability - Distributions/06. Discrete Distributions The Binomial Distribution.mp4 30.6 MB
12. Probability - Distributions/07. Discrete Distributions The Poisson Distribution.mp4 23.92 MB
12. Probability - Distributions/08. Characteristics of Continuous Distributions.mp4 21.25 MB
12. Probability - Distributions/10. Continuous Distributions The Standard Normal Distribution.mp4 21.11 MB
12. Probability - Distributions/09. Continuous Distributions The Normal Distribution.mp4 20.01 MB
12. Probability - Distributions/01. Fundamentals of Probability Distributions.mp4 19.42 MB
12. Probability - Distributions/14. Continuous Distributions The Logistic Distribution.mp4 16.18 MB
12. Probability - Distributions/13. Continuous Distributions The Exponential Distribution.mp4 15.99 MB
12. Probability - Distributions/05. Discrete Distributions The Bernoulli Distribution.mp4 15.12 MB
12. Probability - Distributions/12. Continuous Distributions The Chi-Squared Distribution.mp4 11.16 MB
12. Probability - Distributions/04. Discrete Distributions The Uniform Distribution.mp4 10.3 MB
12. Probability - Distributions/03. Characteristics of Discrete Distributions.mp4 9.42 MB
12. Probability - Distributions/11. Continuous Distributions The Students' T Distribution.mp4 9.24 MB
13. Probability - Probability in Other Fields/01. Probability in Finance.mp4 40.35 MB
13. Probability - Probability in Other Fields/02. Probability in Statistics.mp4 31.6 MB
13. Probability - Probability in Other Fields/03. Probability in Data Science.mp4 14.24 MB
14. Part 3 Statistics/01. Population and Sample.mp4 35.1 MB
15. Statistics - Descriptive Statistics/01. Types of Data.mp4 43.19 MB
15. Statistics - Descriptive Statistics/02. Levels of Measurement.mp4 32.19 MB
15. Statistics - Descriptive Statistics/03. Categorical Variables - Visualization Techniques.mp4 27.49 MB
15. Statistics - Descriptive Statistics/11. Mean, median and mode.mp4 24.5 MB
15. Statistics - Descriptive Statistics/15. Variance.mp4 23.55 MB
15. Statistics - Descriptive Statistics/17. Standard Deviation and Coefficient of Variation.mp4 20.12 MB
15. Statistics - Descriptive Statistics/09. Cross Tables and Scatter Plots.mp4 19.7 MB
15. Statistics - Descriptive Statistics/21. Correlation Coefficient.mp4 19.32 MB
15. Statistics - Descriptive Statistics/19. Covariance.mp4 18.37 MB
15. Statistics - Descriptive Statistics/05. Numerical Variables - Frequency Distribution Table.mp4 17.7 MB
15. Statistics - Descriptive Statistics/13. Skewness.mp4 13.32 MB
15. Statistics - Descriptive Statistics/07. The Histogram.mp4 9.58 MB
16. Statistics - Practical Example Descriptive Statistics/01. Practical Example Descriptive Statistics.mp4 130.53 MB
17. Statistics - Inferential Statistics Fundamentals/08. Estimators and Estimates.mp4 27.69 MB
17. Statistics - Inferential Statistics Fundamentals/06. Central Limit Theorem.mp4 23.22 MB
17. Statistics - Inferential Statistics Fundamentals/02. What is a Distribution.mp4 17.2 MB
17. Statistics - Inferential Statistics Fundamentals/07. Standard error.mp4 13.51 MB
17. Statistics - Inferential Statistics Fundamentals/03. The Normal Distribution.mp4 13.07 MB
17. Statistics - Inferential Statistics Fundamentals/04. The Standard Normal Distribution.mp4 8.6 MB
17. Statistics - Inferential Statistics Fundamentals/01. Introduction.mp4 3.06 MB
18. Statistics - Inferential Statistics Confidence Intervals/02. Confidence Intervals; Population Variance Known; Z-score.mp4 52.16 MB
18. Statistics - Inferential Statistics Confidence Intervals/09. Confidence intervals. Two means. Dependent samples.mp4 44.98 MB
18. Statistics - Inferential Statistics Confidence Intervals/01. What are Confidence Intervals.mp4 28.61 MB
18. Statistics - Inferential Statistics Confidence Intervals/08. Margin of Error.mp4 23.1 MB
18. Statistics - Inferential Statistics Confidence Intervals/04. Confidence Interval Clarifications.mp4 18.93 MB
18. Statistics - Inferential Statistics Confidence Intervals/13. Confidence intervals. Two means. Independent Samples (Part 2).mp4 14.62 MB
18. Statistics - Inferential Statistics Confidence Intervals/06. Confidence Intervals; Population Variance Unknown; T-score.mp4 13.69 MB
18. Statistics - Inferential Statistics Confidence Intervals/05. Student's T Distribution.mp4 13.68 MB
18. Statistics - Inferential Statistics Confidence Intervals/11. Confidence intervals. Two means. Independent Samples (Part 1).mp4 11.99 MB
18. Statistics - Inferential Statistics Confidence Intervals/15. Confidence intervals. Two means. Independent Samples (Part 3).mp4 6.88 MB
19. Statistics - Practical Example Inferential Statistics/01. Practical Example Inferential Statistics.mp4 69.01 MB
20. Statistics - Hypothesis Testing/03. Rejection Region and Significance Level.mp4 38.68 MB
20. Statistics - Hypothesis Testing/05. Test for the Mean. Population Variance Known.mp4 36.94 MB
20. Statistics - Hypothesis Testing/07. p-value.mp4 33.75 MB
20. Statistics - Hypothesis Testing/10. Test for the Mean. Dependent Samples.mp4 32.76 MB
20. Statistics - Hypothesis Testing/01. Null vs Alternative Hypothesis.mp4 31.94 MB
20. Statistics - Hypothesis Testing/14. Test for the mean. Independent Samples (Part 2).mp4 24.45 MB
20. Statistics - Hypothesis Testing/08. Test for the Mean. Population Variance Unknown.mp4 19.7 MB
20. Statistics - Hypothesis Testing/12. Test for the mean. Independent Samples (Part 1).mp4 15.42 MB
20. Statistics - Hypothesis Testing/04. Type I Error and Type II Error.mp4 15.29 MB
21. Statistics - Practical Example Hypothesis Testing/01. Practical Example Hypothesis Testing.mp4 45.83 MB
22. Part 4 Introduction to Python/06. Prerequisites for Coding in the Jupyter Notebooks.mp4 18.96 MB
22. Part 4 Introduction to Python/04. Installing Python and Jupyter.mp4 18.81 MB
22. Part 4 Introduction to Python/01. Introduction to Programming.mp4 14.87 MB
22. Part 4 Introduction to Python/02. Why Python.mp4 12.19 MB
22. Part 4 Introduction to Python/03. Why Jupyter.mp4 8 MB
22. Part 4 Introduction to Python/05. Understanding Jupyter's Interface - the Notebook Dashboard.mp4 6.07 MB
23. Python - Variables and Data Types/03. Python Strings.mp4 19.72 MB
23. Python - Variables and Data Types/01. Variables.mp4 8.94 MB
23. Python - Variables and Data Types/02. Numbers and Boolean Values in Python.mp4 6.57 MB
24. Python - Basic Python Syntax/01. Using Arithmetic Operators in Python.mp4 8.63 MB
24. Python - Basic Python Syntax/07. Structuring with Indentation.mp4 2.79 MB
24. Python - Basic Python Syntax/02. The Double Equality Sign.mp4 2.72 MB
24. Python - Basic Python Syntax/04. Add Comments.mp4 2.41 MB
24. Python - Basic Python Syntax/06. Indexing Elements.mp4 2.36 MB
24. Python - Basic Python Syntax/03. How to Reassign Values.mp4 1.86 MB
24. Python - Basic Python Syntax/05. Understanding Line Continuation.mp4 1.2 MB
25. Python - Other Python Operators/02. Logical and Identity Operators.mp4 19.01 MB
25. Python - Other Python Operators/01. Comparison Operators.mp4 4.16 MB
26. Python - Conditional Statements/03. The ELIF Statement.mp4 14.23 MB
26. Python - Conditional Statements/01. The IF Statement.mp4 6.71 MB
26. Python - Conditional Statements/02. The ELSE Statement.mp4 6.04 MB
26. Python - Conditional Statements/04. A Note on Boolean Values.mp4 4.24 MB
27. Python - Python Functions/07. Built-in Functions in Python.mp4 10.19 MB
27. Python - Python Functions/02. How to Create a Function with a Parameter.mp4 9.99 MB
27. Python - Python Functions/03. Defining a Function in Python - Part II.mp4 6.45 MB
27. Python - Python Functions/05. Conditional Statements and Functions.mp4 6.05 MB
27. Python - Python Functions/04. How to Use a Function within a Function.mp4 3.24 MB
27. Python - Python Functions/01. Defining a Function in Python.mp4 3.23 MB
27. Python - Python Functions/06. Functions Containing a Few Arguments.mp4 2.81 MB
28. Python - Sequences/05. Dictionaries.mp4 32.44 MB
28. Python - Sequences/02. Using Methods.mp4 30.36 MB
28. Python - Sequences/01. Lists.mp4 23.04 MB
28. Python - Sequences/03. List Slicing.mp4 19.17 MB
28. Python - Sequences/04. Tuples.mp4 18.21 MB
29. Python - Iterations/02. While Loops and Incrementing.mp4 20.18 MB
29. Python - Iterations/06. How to Iterate over Dictionaries.mp4 18.38 MB
29. Python - Iterations/04. Conditional Statements and Loops.mp4 17.31 MB
29. Python - Iterations/03. Lists with the range() Function.mp4 16.07 MB
29. Python - Iterations/01. For Loops.mp4 12.96 MB
29. Python - Iterations/05. Conditional Statements, Functions, and Loops.mp4 4.27 MB
30. Python - Advanced Python Tools/04. Importing Modules in Python.mp4 9.87 MB
30. Python - Advanced Python Tools/01. Object Oriented Programming.mp4 8.66 MB
30. Python - Advanced Python Tools/03. What is the Standard Library.mp4 5.05 MB
30. Python - Advanced Python Tools/02. Modules and Packages.mp4 2.08 MB
31. Part 5 Advanced Statistical Methods in Python/01. Introduction to Regression Analysis.mp4 3.59 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/05. First Regression in Python.mp4 29.6 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/08. How to Interpret the Regression Table.mp4 28.73 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/04. Python Packages Installation.mp4 23.67 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/10. What is the OLS.mp4 22.46 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/01. The Linear Regression Model.mp4 13.48 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/11. R-Squared.mp4 11.2 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/09. Decomposition of Variability.mp4 8.79 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/07. Using Seaborn for Graphs.mp4 7.38 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/02. Correlation vs Regression.mp4 3.84 MB
32. Advanced Statistical Methods - Linear Regression with StatsModels/03. Geometrical Representation of the Linear Regression Model.mp4 2.27 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/02. Adjusted R-Squared.mp4 34.2 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/08. A3 Normality and Homoscedasticity.mp4 27.36 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/11. Dealing with Categorical Data - Dummy Variables.mp4 22.65 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/13. Making Predictions with the Linear Regression.mp4 16.34 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/07. A2 No Endogeneity.mp4 9.24 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/09. A4 No Autocorrelation.mp4 7.9 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/10. A5 No Multicollinearity.mp4 7.6 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/04. Test for Significance of the Model (F-Test).mp4 7.18 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/01. Multiple Linear Regression.mp4 5.68 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/05. OLS Assumptions.mp4 5.26 MB
33. Advanced Statistical Methods - Multiple Linear Regression with StatsModels/06. A1 Linearity.mp4 3.57 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/19. Train - Test Split Explained.mp4 35.57 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/03. Simple Linear Regression with sklearn.mp4 27.45 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/15. Feature Selection through Standardization of Weights.mp4 24.46 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/04. Simple Linear Regression with sklearn - A StatsModels-like Summary Table.mp4 22.29 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/10. Feature Selection (F-regression).mp4 20.51 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/16. Predicting with the Standardized Coefficients.mp4 20.44 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/14. Feature Scaling (Standardization).mp4 20.37 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/08. Calculating the Adjusted R-Squared in sklearn.mp4 16.9 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/01. What is sklearn and How is it Different from Other Packages.mp4 8.48 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/07. Multiple Linear Regression with sklearn.mp4 8.3 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/12. Creating a Summary Table with P-values.mp4 6.45 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/18. Underfitting and Overfitting.mp4 5.83 MB
34. Advanced Statistical Methods - Linear Regression with sklearn/02. How are we Going to Approach this Section.mp4 5.3 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/01. Practical Example Linear Regression (Part 1).mp4 84.74 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/08. Practical Example Linear Regression (Part 5).mp4 50.42 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/06. Practical Example Linear Regression (Part 4).mp4 39.39 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/02. Practical Example Linear Regression (Part 2).mp4 31.86 MB
35. Advanced Statistical Methods - Practical Example Linear Regression/04. Practical Example Linear Regression (Part 3).mp4 16.67 MB
36. Advanced Statistical Methods - Logistic Regression/10. Binary Predictors in a Logistic Regression.mp4 24.86 MB
36. Advanced Statistical Methods - Logistic Regression/03. Logistic vs Logit Function.mp4 23.74 MB
36. Advanced Statistical Methods - Logistic Regression/02. A Simple Example in Python.mp4 21.88 MB
36. Advanced Statistical Methods - Logistic Regression/15. Testing the Model.mp4 21.59 MB
36. Advanced Statistical Methods - Logistic Regression/12. Calculating the Accuracy of the Model.mp4 20.26 MB
36. Advanced Statistical Methods - Logistic Regression/06. An Invaluable Coding Tip.mp4 18.78 MB
36. Advanced Statistical Methods - Logistic Regression/07. Understanding Logistic Regression Tables.mp4 14.59 MB
36. Advanced Statistical Methods - Logistic Regression/09. What do the Odds Actually Mean.mp4 11.39 MB
36. Advanced Statistical Methods - Logistic Regression/04. Building a Logistic Regression.mp4 8.59 MB
36. Advanced Statistical Methods - Logistic Regression/14. Underfitting and Overfitting.mp4 7.49 MB
36. Advanced Statistical Methods - Logistic Regression/01. Introduction to Logistic Regression.mp4 5.87 MB
37. Advanced Statistical Methods - Cluster Analysis/02. Some Examples of Clusters.mp4 35.86 MB
37. Advanced Statistical Methods - Cluster Analysis/01. Introduction to Cluster Analysis.mp4 14.46 MB
37. Advanced Statistical Methods - Cluster Analysis/03. Difference between Classification and Clustering.mp4 9.67 MB
37. Advanced Statistical Methods - Cluster Analysis/04. Math Prerequisites.mp4 5.27 MB
38. Advanced Statistical Methods - K-Means Clustering/13. How is Clustering Useful.mp4 37.43 MB
38. Advanced Statistical Methods - K-Means Clustering/02. A Simple Example of Clustering.mp4 34.18 MB
38. Advanced Statistical Methods - K-Means Clustering/12. Market Segmentation with Cluster Analysis (Part 2).mp4 34.08 MB
38. Advanced Statistical Methods - K-Means Clustering/11. Market Segmentation with Cluster Analysis (Part 1).mp4 28.04 MB
38. Advanced Statistical Methods - K-Means Clustering/06. How to Choose the Number of Clusters.mp4 26.87 MB
38. Advanced Statistical Methods - K-Means Clustering/08. Pros and Cons of K-Means Clustering.mp4 11.12 MB
38. Advanced Statistical Methods - K-Means Clustering/09. To Standardize or not to Standardize.mp4 10.92 MB
38. Advanced Statistical Methods - K-Means Clustering/01. K-Means Clustering.mp4 10.82 MB
38. Advanced Statistical Methods - K-Means Clustering/04. Clustering Categorical Data.mp4 10.35 MB
38. Advanced Statistical Methods - K-Means Clustering/10. Relationship between Clustering and Regression.mp4 3.51 MB
39. Advanced Statistical Methods - Other Types of Clustering/03. Heatmaps.mp4 18.5 MB
39. Advanced Statistical Methods - Other Types of Clustering/02. Dendrogram.mp4 18.29 MB
39. Advanced Statistical Methods - Other Types of Clustering/01. Types of Clustering.mp4 9.01 MB
40. ChatGPT for Data Science/05. First attempt at machine learning with ChatGPT.mp4 36.72 MB
40. ChatGPT for Data Science/10. Exploratory data analysis (EDA) with ChatGPT - correlation matrix, outlier detec.mp4 33.71 MB
40. ChatGPT for Data Science/19. Using ChatGPT for ethical considerations.mp4 33.53 MB
40. ChatGPT for Data Science/14. Decoding comic book data Python Regular Expressions and ChatGPT.mp4 33.05 MB
40. ChatGPT for Data Science/04. Data Preprocessing with ChatGPT.mp4 28.73 MB
40. ChatGPT for Data Science/08. Analyzing a client database with ChatGPT in Python – analyzing top clients, RFM.mp4 27.19 MB
40. ChatGPT for Data Science/01. Traditional data science methods and the role of ChatGPT.mp4 26.16 MB
40. ChatGPT for Data Science/06. Analyzing a client database with ChatGPT in Python.mp4 21.62 MB
40. ChatGPT for Data Science/09. Exploratory data analysis (EDA) with ChatGPT - histogram and scatter plot.mp4 21.59 MB
40. ChatGPT for Data Science/17. Algorithm recommendation recommendation engine for movies with ChatGPT.mp4 17.85 MB
40. ChatGPT for Data Science/16. Algorithm recommendation Movie Database Analysis with ChatGPT.mp4 17.25 MB
40. ChatGPT for Data Science/07. Analyzing a client database with ChatGPT in Python – analyzing top products.mp4 15.17 MB
40. ChatGPT for Data Science/13. Marvels comic book database Intro to Regular Expressions (RegEx).mp4 14.98 MB
40. ChatGPT for Data Science/18. Ethical principles in data and AI utilization.mp4 14.73 MB
40. ChatGPT for Data Science/12. Hypothesis testing with ChatGPT.mp4 14.37 MB
40. ChatGPT for Data Science/03. How ChatGPT can boost your productivity.mp4 5.38 MB
40. ChatGPT for Data Science/02. How to install ChatGPT.mp4 5.22 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/02. The Naive Bayes Algorithm.mp4 42.06 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/10. Machine Learning with Naïve Bayes (First Attempt).mp4 28.11 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/12. Testing the Model on New Data.mp4 20.83 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/11. Machine Learning with Naïve Bayes – converting the problem to a binary one.mp4 18.89 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/07. Optimizing User Reviews Data Preprocessing & EDA.mp4 18.67 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/08. Reg Ex for Analyzing Text Review Data.mp4 16.18 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/03. Tokenization and Vectorization.mp4 15.81 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/06. Loading the Dataset and Preprocessing.mp4 14.81 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/05. Overcome Imbalanced Data in Machine Learning.mp4 14.59 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/09. Understanding Differences between Multinomial and Bernouilli Naive Bayes.mp4 13.86 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/01. Intro to the Case Study.mp4 10.42 MB
41. Case Study Train a Naive Bayes Classifier with ChatGPT for Sentiment Analysis/04. Imbalanced Data Sets.mp4 6.55 MB
42. Part 6 Mathematics/11. Why is Linear Algebra Useful.mp4 88.47 MB
42. Part 6 Mathematics/10. Dot Product of Matrices.mp4 34.31 MB
42. Part 6 Mathematics/06. Addition and Subtraction of Matrices.mp4 22.1 MB
42. Part 6 Mathematics/04. Arrays in Python - A Convenient Way To Represent Matrices.mp4 18.98 MB
42. Part 6 Mathematics/05. What is a Tensor.mp4 15.54 MB
42. Part 6 Mathematics/08. Transpose of a Matrix.mp4 14.21 MB
42. Part 6 Mathematics/03. Linear Algebra and Geometry.mp4 13.73 MB
42. Part 6 Mathematics/09. Dot Product.mp4 12.84 MB
42. Part 6 Mathematics/01. What is a Matrix.mp4 11.94 MB
42. Part 6 Mathematics/02. Scalars and Vectors.mp4 8.54 MB
42. Part 6 Mathematics/07. Errors when Adding Matrices.mp4 5.77 MB
43. Part 7 Deep Learning/01. What to Expect from this Part.mp4 11.72 MB
44. Deep Learning - Introduction to Neural Networks/11. Optimization Algorithm 1-Parameter Gradient Descent.mp4 23.57 MB
44. Deep Learning - Introduction to Neural Networks/12. Optimization Algorithm n-Parameter Gradient Descent.mp4 16.83 MB
44. Deep Learning - Introduction to Neural Networks/06. The Linear model with Multiple Inputs and Multiple Outputs.mp4 16.64 MB
44. Deep Learning - Introduction to Neural Networks/03. Types of Machine Learning.mp4 13.05 MB
44. Deep Learning - Introduction to Neural Networks/01. Introduction to Neural Networks.mp4 10.49 MB
44. Deep Learning - Introduction to Neural Networks/10. Common Objective Functions Cross-Entropy Loss.mp4 9.84 MB
44. Deep Learning - Introduction to Neural Networks/04. The Linear Model (Linear Algebraic Version).mp4 7.98 MB
44. Deep Learning - Introduction to Neural Networks/05. The Linear Model with Multiple Inputs.mp4 7.91 MB
44. Deep Learning - Introduction to Neural Networks/07. Graphical Representation of Simple Neural Networks.mp4 7.78 MB
44. Deep Learning - Introduction to Neural Networks/02. Training the Model.mp4 7.72 MB
44. Deep Learning - Introduction to Neural Networks/08. What is the Objective Function.mp4 6.18 MB
44. Deep Learning - Introduction to Neural Networks/09. Common Objective Functions L2-norm Loss.mp4 5.47 MB
45. Deep Learning - How to Build a Neural Network from Scratch with NumPy/04. Basic NN Example (Part 4).mp4 39.97 MB
45. Deep Learning - How to Build a Neural Network from Scratch with NumPy/03. Basic NN Example (Part 3).mp4 15.66 MB
45. Deep Learning - How to Build a Neural Network from Scratch with NumPy/02. Basic NN Example (Part 2).mp4 15.23 MB
45. Deep Learning - How to Build a Neural Network from Scratch with NumPy/01. Basic NN Example (Part 1).mp4 9.34 MB
46. Deep Learning - TensorFlow 2.0 Introduction/01. How to Install TensorFlow 2.0.mp4 27.34 MB
46. Deep Learning - TensorFlow 2.0 Introduction/06. Outlining the Model with TensorFlow 2.mp4 26.96 MB
46. Deep Learning - TensorFlow 2.0 Introduction/07. Interpreting the Result and Extracting the Weights and Bias.mp4 25.91 MB
46. Deep Learning - TensorFlow 2.0 Introduction/08. Customizing a TensorFlow 2 Model.mp4 16.76 MB
46. Deep Learning - TensorFlow 2.0 Introduction/03. TensorFlow 1 vs TensorFlow 2.mp4 15.29 MB
46. Deep Learning - TensorFlow 2.0 Introduction/02. TensorFlow Outline and Comparison with Other Libraries.mp4 15.29 MB
46. Deep Learning - TensorFlow 2.0 Introduction/05. Types of File Formats Supporting TensorFlow.mp4 8.86 MB
46. Deep Learning - TensorFlow 2.0 Introduction/04. A Note on TensorFlow 2 Syntax.mp4 4.64 MB
47. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/03. Digging into a Deep Net.mp4 23.68 MB
47. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/04. Non-Linearities and their Purpose.mp4 22.51 MB
47. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/07. Backpropagation.mp4 20.34 MB
47. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/02. What is a Deep Net.mp4 9.13 MB
47. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/05. Activation Functions.mp4 8.85 MB
47. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/06. Activation Functions Softmax Activation.mp4 8.74 MB
47. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/08. Backpropagation Picture.mp4 8.06 MB
47. Deep Learning - Digging Deeper into NNs Introducing Deep Neural Networks/01. What is a Layer.mp4 5.17 MB
48. Deep Learning - Overfitting/02. Underfitting and Overfitting for Classification.mp4 14.01 MB
48. Deep Learning - Overfitting/01. What is Overfitting.mp4 10.81 MB
48. Deep Learning - Overfitting/06. Early Stopping or When to Stop Training.mp4 10.29 MB
48. Deep Learning - Overfitting/04. Training, Validation, and Test Datasets.mp4 9.4 MB
48. Deep Learning - Overfitting/03. What is Validation.mp4 8.38 MB
48. Deep Learning - Overfitting/05. N-Fold Cross Validation.mp4 6.24 MB
49. Deep Learning - Initialization/01. What is Initialization.mp4 8.9 MB
49. Deep Learning - Initialization/02. Types of Simple Initializations.mp4 5.73 MB
49. Deep Learning - Initialization/03. State-of-the-Art Method - (Xavier) Glorot Initialization.mp4 5.46 MB
50. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/04. Learning Rate Schedules, or How to Choose the Optimal Learning Rate.mp4 17.52 MB
50. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/06. Adaptive Learning Rate Schedules (AdaGrad and RMSprop ).mp4 8.53 MB
50. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/01. Stochastic Gradient Descent.mp4 7.83 MB
50. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/07. Adam (Adaptive Moment Estimation).mp4 7.14 MB
50. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/03. Momentum.mp4 5.18 MB
50. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/02. Problems with Gradient Descent.mp4 3.65 MB
50. Deep Learning - Digging into Gradient Descent and Learning Rate Schedules/05. Learning Rate Schedules Visualized.mp4 3.17 MB
51. Deep Learning - Preprocessing/03. Standardization.mp4 12.07 MB
51. Deep Learning - Preprocessing/01. Preprocessing Introduction.mp4 9.23 MB
51. Deep Learning - Preprocessing/05. Binary and One-Hot Encoding.mp4 8.55 MB
51. Deep Learning - Preprocessing/04. Preprocessing Categorical Data.mp4 5.44 MB
51. Deep Learning - Preprocessing/02. Types of Basic Preprocessing.mp4 3.25 MB
52. Deep Learning - Classifying on the MNIST Dataset/06. MNIST Preprocess the Data - Shuffle and Batch.mp4 32.69 MB
52. Deep Learning - Classifying on the MNIST Dataset/10. MNIST Learning.mp4 30.99 MB
52. Deep Learning - Classifying on the MNIST Dataset/04. MNIST Preprocess the Data - Create a Validation Set and Scale It.mp4 22.9 MB
52. Deep Learning - Classifying on the MNIST Dataset/12. MNIST Testing the Model.mp4 22.61 MB
52. Deep Learning - Classifying on the MNIST Dataset/08. MNIST Outline the Model.mp4 22.07 MB
52. Deep Learning - Classifying on the MNIST Dataset/03. MNIST Importing the Relevant Packages and Loading the Data.mp4 12.23 MB
52. Deep Learning - Classifying on the MNIST Dataset/09. MNIST Select the Loss and the Optimizer.mp4 10.65 MB
52. Deep Learning - Classifying on the MNIST Dataset/02. MNIST How to Tackle the MNIST.mp4 7.94 MB
52. Deep Learning - Classifying on the MNIST Dataset/01. MNIST The Dataset.mp4 4.53 MB
53. Deep Learning - Business Case Example/04. Business Case Preprocessing the Data.mp4 73.85 MB
53. Deep Learning - Business Case Example/01. Business Case Exploring the Dataset and Identifying Predictors.mp4 51.29 MB
53. Deep Learning - Business Case Example/09. Business Case Setting an Early Stopping Mechanism.mp4 43.82 MB
53. Deep Learning - Business Case Example/08. Business Case Learning and Interpreting the Result.mp4 29.4 MB
53. Deep Learning - Business Case Example/03. Business Case Balancing the Dataset.mp4 22.32 MB
53. Deep Learning - Business Case Example/06. Business Case Load the Preprocessed Data.mp4 13.81 MB
53. Deep Learning - Business Case Example/11. Business Case Testing the Model.mp4 8.19 MB
53. Deep Learning - Business Case Example/02. Business Case Outlining the Solution.mp4 3.04 MB
54. Deep Learning - Conclusion/06. An Overview of non-NN Approaches.mp4 16.08 MB
54. Deep Learning - Conclusion/04. An overview of CNNs.mp4 13.39 MB
54. Deep Learning - Conclusion/01. Summary on What You've Learned.mp4 9.84 MB
54. Deep Learning - Conclusion/05. An Overview of RNNs.mp4 6.96 MB
54. Deep Learning - Conclusion/02. What's Further out there in terms of Machine Learning.mp4 4.79 MB
55. Appendix Deep Learning - TensorFlow 1 Introduction/07. Basic NN Example with TF Inputs, Outputs, Targets, Weights, Biases.mp4 17.69 MB
55. Appendix Deep Learning - TensorFlow 1 Introduction/09. Basic NN Example with TF Model Output.mp4 17.07 MB
55. Appendix Deep Learning - TensorFlow 1 Introduction/04. TensorFlow Intro.mp4 16.9 MB
55. Appendix Deep Learning - TensorFlow 1 Introduction/08. Basic NN Example with TF Loss Function and Gradient Descent.mp4 13.61 MB
55. Appendix Deep Learning - TensorFlow 1 Introduction/05. Actual Introduction to TensorFlow.mp4 9.05 MB
55. Appendix Deep Learning - TensorFlow 1 Introduction/06. Types of File Formats, supporting Tensors.mp4 8.9 MB
55. Appendix Deep Learning - TensorFlow 1 Introduction/02. How to Install TensorFlow 1.mp4 5 MB
56. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/09. MNIST Results and Testing.mp4 38.11 MB
56. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/04. MNIST Model Outline.mp4 34.7 MB
56. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/08. MNIST Learning.mp4 31.83 MB
56. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/06. Calculating the Accuracy of the Model.mp4 24.45 MB
56. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/05. MNIST Loss and Optimization Algorithm.mp4 15.79 MB
56. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/03. MNIST Relevant Packages.mp4 11.25 MB
56. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/07. MNIST Batching and Early Stopping.mp4 9.48 MB
56. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/02. MNIST How to Tackle the MNIST.mp4 8.01 MB
56. Appendix Deep Learning - TensorFlow 1 Classifying on the MNIST Dataset/01. MNIST What is the MNIST Dataset.mp4 4.8 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/04. Business Case Preprocessing.mp4 74.41 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/01. Business Case Getting Acquainted with the Dataset.mp4 60.25 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/06. Creating a Data Provider.mp4 56.3 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/07. Business Case Model Outline.mp4 42.51 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/03. The Importance of Working with a Balanced Dataset.mp4 27.25 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/08. Business Case Optimization.mp4 26.94 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/11. Business Case A Comment on the Homework.mp4 20.58 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/09. Business Case Interpretation.mp4 18.63 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/10. Business Case Testing the Model.mp4 4.4 MB
57. Appendix Deep Learning - TensorFlow 1 Business Case/02. Business Case Outlining the Solution.mp4 4.16 MB
58. Software Integration/02. What are Data Connectivity, APIs, and Endpoints.mp4 60.22 MB
58. Software Integration/03. Taking a Closer Look at APIs.mp4 24.51 MB
58. Software Integration/01. What are Data, Servers, Clients, Requests, and Responses.mp4 19.51 MB
58. Software Integration/04. Communication between Software Products through Text Files.mp4 17.54 MB
58. Software Integration/05. Software Integration - Explained.mp4 16 MB
59. Case Study - What's Next in the Course/03. Introducing the Data Set.mp4 24.24 MB
59. Case Study - What's Next in the Course/01. Game Plan for this Python, SQL, and Tableau Business Exercise.mp4 19.67 MB
59. Case Study - What's Next in the Course/02. The Business Task.mp4 11.28 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/11. Obtaining Dummies from a Single Feature.mp4 69.75 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/03. Checking the Content of the Data Set.mp4 53.99 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/16. Classifying the Various Reasons for Absence.mp4 51.32 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/07. Dropping a Column from a DataFrame in Python.mp4 41.24 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/26. Analyzing the Dates from the Initial Data Set.mp4 40.12 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/27. Extracting the Month Value from the Date Column.mp4 33.9 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/10. Analyzing the Reasons for Absence.mp4 27.63 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/17. Using .concat() in Python.mp4 27.34 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/31. Working on Education, Children, and Pets.mp4 27.03 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/02. Importing the Absenteeism Data in Python.mp4 19.52 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/28. Extracting the Day of the Week from the Date Column.mp4 19.14 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/04. Introduction to Terms with Multiple Meanings.mp4 17.98 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/23. Creating Checkpoints while Coding in Jupyter.mp4 17.33 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/30. Analyzing Several Straightforward Columns for this Exercise.mp4 14.32 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/32. Final Remarks of this Section.mp4 13.54 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/20. Reordering Columns in a Pandas DataFrame in Python.mp4 10 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/06. Using a Statistical Approach towards the Solution to the Exercise.mp4 9.9 MB
60. Case Study - Preprocessing the 'Absenteeism_data'/15. More on Dummy Variables A Statistical Perspective.mp4 5.82 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/08. Interpreting the Coefficients for Our Problem.mp4 41.14 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/05. Splitting the Data for Training and Testing.mp4 36.06 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/02. Creating the Targets for the Logistic Regression.mp4 32.44 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/11. Backward Elimination or How to Simplify Your Model.mp4 31.82 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/12. Testing the Model We Created.mp4 31.6 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/16. Preparing the Deployment of the Model through a Module.mp4 28.56 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/07. Creating a Summary Table with the Coefficients and Intercept.mp4 26.95 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/13. Saving the Model and Preparing it for Deployment.mp4 25.52 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/09. Standardizing only the Numerical Variables (Creating a Custom Scaler).mp4 16.86 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/06. Fitting the Model and Assessing its Accuracy.mp4 15.22 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/10. Interpreting the Coefficients of the Logistic Regression.mp4 15.21 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/04. Standardizing the Data.mp4 15.15 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/01. Exploring the Problem with a Machine Learning Mindset.mp4 12.96 MB
61. Case Study - Applying Machine Learning to Create the 'absenteeism_module'/03. Selecting the Inputs for the Logistic Regression.mp4 8.67 MB
62. Case Study - Loading the 'absenteeism_module'/03. Deploying the 'absenteeism_module' - Part II.mp4 45.14 MB
62. Case Study - Loading the 'absenteeism_module'/02. Deploying the 'absenteeism_module' - Part I.mp4 19.67 MB
63. Case Study - Analyzing the Predicted Outputs in Tableau/04. Analyzing Reasons vs Probability in Tableau.mp4 40.25 MB
63. Case Study - Analyzing the Predicted Outputs in Tableau/02. Analyzing Age vs Probability in Tableau.mp4 38.68 MB
63. Case Study - Analyzing the Predicted Outputs in Tableau/06. Analyzing Transportation Expense vs Probability in Tableau.mp4 16.48 MB
64. Appendix - Additional Python Tools/05. List Comprehensions.mp4 43.21 MB
64. Appendix - Additional Python Tools/04. Triple Nested For Loops.mp4 33 MB
64. Appendix - Additional Python Tools/01. Using the .format() Method.mp4 25.69 MB
64. Appendix - Additional Python Tools/06. Anonymous (Lambda) Functions.mp4 22.78 MB
64. Appendix - Additional Python Tools/02. Iterating Over Range Objects.mp4 12.61 MB
64. Appendix - Additional Python Tools/03. Introduction to Nested For Loops.mp4 12.17 MB
65. Appendix - pandas Fundamentals/11. Data Selection in pandas DataFrames.mp4 37.28 MB
65. Appendix - pandas Fundamentals/12. pandas DataFrames - Indexing with .iloc[].mp4 32.21 MB
65. Appendix - pandas Fundamentals/10. pandas DataFrames - Common Attributes.mp4 25.65 MB
65. Appendix - pandas Fundamentals/01. Introduction to pandas Series.mp4 24.96 MB
65. Appendix - pandas Fundamentals/06. Using .unique() and .nunique().mp4 24.31 MB
65. Appendix - pandas Fundamentals/05. Parameters and Arguments in pandas.mp4 21.13 MB
65. Appendix - pandas Fundamentals/13. pandas DataFrames - Indexing with .loc[].mp4 20.69 MB
65. Appendix - pandas Fundamentals/09. Introduction to pandas DataFrames - Part II.mp4 17.83 MB
65. Appendix - pandas Fundamentals/07. Using .sort_values().mp4 15.23 MB
65. Appendix - pandas Fundamentals/03. Working with Methods in Python - Part I.mp4 13.21 MB
65. Appendix - pandas Fundamentals/08. Introduction to pandas DataFrames - Part I.mp4 12.46 MB
65. Appendix - pandas Fundamentals/04. Working with Methods in Python - Part II.mp4 9.01 MB
其他位置