[Udemy] Statistics & Mathematics for Data Science in Python [2020, ENG]

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[Udemy] Statistics & Mathematics for Data Science in Python [2020, ENG]的二维码

文档列表

5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.mp4 29.4 MB
6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.mp4 27.0 MB
5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.mp4 26.7 MB
5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.mp4 24.5 MB
6. Regression & Predictions/10. Model Comparison Tool.mp4 23.0 MB
7. Classification Modeling/9. Model Comparison Tool.mp4 21.9 MB
6. Regression & Predictions/4. Linear Regression.mp4 21.7 MB
8. Natural Language Processing/8. Cosine Similarity Between Texts.mp4 20.8 MB
2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.mp4 20.1 MB
6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.mp4 19.3 MB
6. Regression & Predictions/11. Model Hyper Tuning & Optimization.mp4 18.3 MB
3. Distribution Types/7. Fitting Distributions - Advanced.mp4 17.9 MB
2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.mp4 17.7 MB
5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.mp4 17.5 MB
2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.mp4 16.9 MB
4. Inferential Statistics with Visualizations/6. Advanced Visualizations.mp4 16.7 MB
7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.mp4 16.7 MB
3. Distribution Types/6. Normal Distribution.mp4 15.8 MB
5. Confidence Intervals & Hypothesis Testing/8. ANOVA.mp4 15.1 MB
4. Inferential Statistics with Visualizations/2. Bar Charts.mp4 15.1 MB
5. Confidence Intervals & Hypothesis Testing/4. Assuming Normality.mp4 14.0 MB
1. Google Colab for Data Science/6. Importing Data from OneDrive to Pandas DataFrame.mp4 13.5 MB
4. Inferential Statistics with Visualizations/3. Histograms.mp4 13.4 MB
6. Regression & Predictions/7. Lasso Regression.mp4 13.4 MB
4. Inferential Statistics with Visualizations/4. Box Plots.mp4 13.3 MB
1. Google Colab for Data Science/5. Importing Data from Google Drive to Pandas DataFrame.mp4 12.9 MB
6. Regression & Predictions/8. ElasticNet Regression.mp4 12.7 MB
7. Classification Modeling/4. Naive Bayes.mp4 12.3 MB
3. Distribution Types/4. Binomial Distribution.mp4 12.1 MB
5. Confidence Intervals & Hypothesis Testing/2. Seaborn Sample Data & Fitting.mp4 12.1 MB
4. Inferential Statistics with Visualizations/5. Scatter Plots.mp4 12.0 MB
2. Vocabulary & Descriptive Statistics/6. Correlation Coefficient.mp4 11.9 MB
6. Regression & Predictions/5. Polynomial Regression.mp4 11.7 MB
3. Distribution Types/3. Uniform Distribution.mp4 11.6 MB
8. Natural Language Processing/2. Data Loading & Exploration.mp4 11.0 MB
7. Classification Modeling/2. Preparation Part 1 Loading & Exploring Penguins Data.mp4 10.9 MB
7. Classification Modeling/7. SVM.mp4 10.8 MB
7. Classification Modeling/10. Model Hyper Tuning & Optimization.mp4 10.6 MB
6. Regression & Predictions/9. Random Forest Regression.mp4 10.3 MB
6. Regression & Predictions/6. Ridge Regression.mp4 10.1 MB
2. Vocabulary & Descriptive Statistics/2. Introduction to General Statistical Vocabulary.mp4 9.9 MB
3. Distribution Types/5. Poisson Distribution.mp4 9.0 MB
8. Natural Language Processing/5. Movie Reviews Text Analysis & Frequency.mp4 8.6 MB
7. Classification Modeling/5. Logistic Regression.mp4 8.4 MB
8. Natural Language Processing/3. NLTK to Examine Text.mp4 8.0 MB
8. Natural Language Processing/4. For Loop Creation of 8.2.mp4 7.3 MB
8. Natural Language Processing/7. Naive Bayes with NLTK.mp4 7.0 MB
7. Classification Modeling/6. K-Nearest Neighbors.mp4 6.7 MB
5. Confidence Intervals & Hypothesis Testing/3. Introduction to Confidence Intervals & Tests.mp4 6.4 MB
8. Natural Language Processing/6. Finding Features of Textual Data.mp4 5.5 MB
7. Classification Modeling/8. Random Forest.mp4 5.3 MB
1. Google Colab for Data Science/4. Documentation Exploration.mp4 4.8 MB
3. Distribution Types/2. Introduction to Probability Distributions.mp4 3.3 MB
1. Google Colab for Data Science/7. Sharing a Colab Notebook.mp4 3.0 MB
1. Google Colab for Data Science/1. Course Overview.mp4 2.8 MB
3. Distribution Types/8. Summary.mp4 2.6 MB
1. Google Colab for Data Science/3. Google Drive & Colab Introduction.mp4 2.3 MB
6. Regression & Predictions/12. Summary.mp4 1.1 MB
4. Inferential Statistics with Visualizations/1. Introduction.mp4 1.1 MB
1. Google Colab for Data Science/2. Introduction.mp4 998.0 kB
2. Vocabulary & Descriptive Statistics/7. Summary.mp4 946.1 kB
7. Classification Modeling/1. Introduction.mp4 921.2 kB
4. Inferential Statistics with Visualizations/1.1 Inferential Statistics with Visualizations.zip 880.5 kB
5. Confidence Intervals & Hypothesis Testing/1. Introduction.mp4 873.1 kB
4. Inferential Statistics with Visualizations/7. Summary.mp4 851.2 kB
8. Natural Language Processing/1. Introduction.mp4 789.1 kB
7. Classification Modeling/11. Summary.mp4 778.4 kB
6. Regression & Predictions/1. Introduction.mp4 738.6 kB
2. Vocabulary & Descriptive Statistics/1. Introduction.mp4 704.5 kB
3. Distribution Types/1. Introduction.mp4 702.0 kB
8. Natural Language Processing/9. Summary.mp4 665.1 kB
1. Google Colab for Data Science/8. Summary.mp4 577.0 kB
5. Confidence Intervals & Hypothesis Testing/10. Summary.mp4 515.8 kB
7. Classification Modeling/1.1 Classification Modeling.zip 434.2 kB
5. Confidence Intervals & Hypothesis Testing/1.1 Confidence Intervals & Hypothesis Testing.zip 421.5 kB
6. Regression & Predictions/1.1 Regression & Predictions.zip 407.4 kB
3. Distribution Types/1.1 Distribution Types.zip 260.7 kB
8. Natural Language Processing/1.1 Natural Language Processing.zip 259.9 kB
8. Natural Language Processing/11.1 16155477.zip 192.1 kB
5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.srt 44.6 kB
5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.srt 43.6 kB
6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.srt 39.7 kB
5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.srt 37.8 kB
7. Classification Modeling/9. Model Comparison Tool.srt 37.2 kB
8. Natural Language Processing/8. Cosine Similarity Between Texts.srt 35.3 kB
6. Regression & Predictions/10. Model Comparison Tool.srt 33.7 kB
6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.srt 33.2 kB
7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.srt 31.0 kB
5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.srt 27.9 kB
6. Regression & Predictions/4. Linear Regression.srt 27.9 kB
2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.srt 26.8 kB
2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.srt 25.2 kB
4. Inferential Statistics with Visualizations/2. Bar Charts.srt 25.1 kB
4. Inferential Statistics with Visualizations/6. Advanced Visualizations.srt 24.9 kB
1. Google Colab for Data Science/5. Importing Data from Google Drive to Pandas DataFrame.srt 24.4 kB
3. Distribution Types/6. Normal Distribution.srt 23.3 kB
5. Confidence Intervals & Hypothesis Testing/8. ANOVA.srt 23.1 kB
4. Inferential Statistics with Visualizations/4. Box Plots.srt 22.8 kB
5. Confidence Intervals & Hypothesis Testing/4. Assuming Normality.srt 22.7 kB
3. Distribution Types/4. Binomial Distribution.srt 22.6 kB
1. Google Colab for Data Science/6. Importing Data from OneDrive to Pandas DataFrame.srt 22.4 kB
4. Inferential Statistics with Visualizations/3. Histograms.srt 22.1 kB
7. Classification Modeling/4. Naive Bayes.srt 22.1 kB
2. Vocabulary & Descriptive Statistics/2. Introduction to General Statistical Vocabulary.srt 21.9 kB
6. Regression & Predictions/11. Model Hyper Tuning & Optimization.srt 21.8 kB
3. Distribution Types/3. Uniform Distribution.srt 20.9 kB
3. Distribution Types/7. Fitting Distributions - Advanced.srt 19.8 kB
2. Vocabulary & Descriptive Statistics/6. Correlation Coefficient.srt 19.7 kB
4. Inferential Statistics with Visualizations/5. Scatter Plots.srt 19.3 kB
7. Classification Modeling/2. Preparation Part 1 Loading & Exploring Penguins Data.srt 19.3 kB
2. Vocabulary & Descriptive Statistics/1.1 Vocabulary & Descriptive Statistics.zip 19.1 kB
2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.srt 18.3 kB
6. Regression & Predictions/8. ElasticNet Regression.srt 17.8 kB
6. Regression & Predictions/7. Lasso Regression.srt 16.7 kB
5. Confidence Intervals & Hypothesis Testing/2. Seaborn Sample Data & Fitting.srt 16.7 kB
7. Classification Modeling/10. Model Hyper Tuning & Optimization.srt 16.5 kB
3. Distribution Types/5. Poisson Distribution.srt 16.1 kB
6. Regression & Predictions/5. Polynomial Regression.srt 16.1 kB
6. Regression & Predictions/9. Random Forest Regression.srt 14.8 kB
7. Classification Modeling/5. Logistic Regression.srt 14.7 kB
7. Classification Modeling/7. SVM.srt 14.4 kB
8. Natural Language Processing/2. Data Loading & Exploration.srt 14.3 kB
8. Natural Language Processing/5. Movie Reviews Text Analysis & Frequency.srt 13.9 kB
6. Regression & Predictions/6. Ridge Regression.srt 13.9 kB
8. Natural Language Processing/3. NLTK to Examine Text.srt 13.8 kB
5. Confidence Intervals & Hypothesis Testing/3. Introduction to Confidence Intervals & Tests.srt 12.9 kB
8. Natural Language Processing/4. For Loop Creation of 8.2.srt 12.5 kB
8. Natural Language Processing/7. Naive Bayes with NLTK.srt 11.0 kB
7. Classification Modeling/6. K-Nearest Neighbors.srt 9.4 kB
7. Classification Modeling/8. Random Forest.srt 8.2 kB
1. Google Colab for Data Science/4. Documentation Exploration.srt 8.1 kB
8. Natural Language Processing/6. Finding Features of Textual Data.srt 7.7 kB
1. Google Colab for Data Science/7. Sharing a Colab Notebook.srt 6.6 kB
3. Distribution Types/2. Introduction to Probability Distributions.srt 6.4 kB
1. Google Colab for Data Science/1.1 Google Colab for Data Science.zip 6.4 kB
1. Google Colab for Data Science/1. Course Overview.srt 6.2 kB
1. Google Colab for Data Science/3. Google Drive & Colab Introduction.srt 5.3 kB
3. Distribution Types/8. Summary.srt 5.3 kB
1. Google Colab for Data Science/2. Introduction.srt 2.2 kB
6. Regression & Predictions/12. Summary.srt 2.2 kB
4. Inferential Statistics with Visualizations/1. Introduction.srt 2.0 kB
2. Vocabulary & Descriptive Statistics/7. Summary.srt 2.0 kB
5. Confidence Intervals & Hypothesis Testing/1. Introduction.srt 1.7 kB
4. Inferential Statistics with Visualizations/7. Summary.srt 1.6 kB
7. Classification Modeling/1. Introduction.srt 1.5 kB
2. Vocabulary & Descriptive Statistics/1. Introduction.srt 1.4 kB
7. Classification Modeling/11. Summary.srt 1.4 kB
6. Regression & Predictions/1. Introduction.srt 1.3 kB
8. Natural Language Processing/1. Introduction.srt 1.3 kB
3. Distribution Types/1. Introduction.srt 1.2 kB
8. Natural Language Processing/9. Summary.srt 1.2 kB
1. Google Colab for Data Science/8. Summary.srt 1.1 kB
5. Confidence Intervals & Hypothesis Testing/10. Summary.srt 1.1 kB
8. Natural Language Processing/11. Project Resource File.html 528 Bytes
7. Classification Modeling/12. Quiz 7.html 160 Bytes
6. Regression & Predictions/13. Quiz 6.html 160 Bytes
1. Google Colab for Data Science/9. Quiz 1.html 160 Bytes
4. Inferential Statistics with Visualizations/8. Quiz 4.html 160 Bytes
2. Vocabulary & Descriptive Statistics/8. Quiz-2.html 160 Bytes
5. Confidence Intervals & Hypothesis Testing/11. Quiz 5.html 160 Bytes
3. Distribution Types/9. Quiz 3.html 160 Bytes
8. Natural Language Processing/10. Quiz 8.html 160 Bytes

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