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

Creation Time	Nov. 24, 2023, 3:14 p.m.
Last Access Time	Nov. 9, 2024, 8:20 a.m.
File Size	724.6 MB
Keywords	Statistics for ENG Python Science Udemy 2020 in Mathematics Data
Total Requests	143
Total Files	162
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5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.mp4 28.0 MB
6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.mp4 25.8 MB
5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.mp4 25.5 MB
5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.mp4 23.4 MB
6. Regression & Predictions/10. Model Comparison Tool.mp4 21.9 MB
7. Classification Modeling/9. Model Comparison Tool.mp4 20.9 MB
6. Regression & Predictions/4. Linear Regression.mp4 20.7 MB
8. Natural Language Processing/8. Cosine Similarity Between Texts.mp4 19.8 MB
2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.mp4 19.1 MB
6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.mp4 18.4 MB
6. Regression & Predictions/11. Model Hyper Tuning & Optimization.mp4 17.4 MB
3. Distribution Types/7. Fitting Distributions - Advanced.mp4 17.1 MB
2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.mp4 16.9 MB
5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.mp4 16.6 MB
2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.mp4 16.1 MB
4. Inferential Statistics with Visualizations/6. Advanced Visualizations.mp4 16.0 MB
7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.mp4 15.9 MB
3. Distribution Types/6. Normal Distribution.mp4 15.1 MB
5. Confidence Intervals & Hypothesis Testing/8. ANOVA.mp4 14.4 MB
4. Inferential Statistics with Visualizations/2. Bar Charts.mp4 14.4 MB
5. Confidence Intervals & Hypothesis Testing/4. Assuming Normality.mp4 13.4 MB
1. Google Colab for Data Science/6. Importing Data from OneDrive to Pandas DataFrame.mp4 12.9 MB
4. Inferential Statistics with Visualizations/3. Histograms.mp4 12.8 MB
6. Regression & Predictions/7. Lasso Regression.mp4 12.8 MB
4. Inferential Statistics with Visualizations/4. Box Plots.mp4 12.7 MB
1. Google Colab for Data Science/5. Importing Data from Google Drive to Pandas DataFrame.mp4 12.3 MB
6. Regression & Predictions/8. ElasticNet Regression.mp4 12.1 MB
7. Classification Modeling/4. Naive Bayes.mp4 11.7 MB
3. Distribution Types/4. Binomial Distribution.mp4 11.6 MB
5. Confidence Intervals & Hypothesis Testing/2. Seaborn Sample Data & Fitting.mp4 11.5 MB
4. Inferential Statistics with Visualizations/5. Scatter Plots.mp4 11.4 MB
2. Vocabulary & Descriptive Statistics/6. Correlation Coefficient.mp4 11.4 MB
6. Regression & Predictions/5. Polynomial Regression.mp4 11.2 MB
3. Distribution Types/3. Uniform Distribution.mp4 11.0 MB
8. Natural Language Processing/2. Data Loading & Exploration.mp4 10.5 MB
7. Classification Modeling/2. Preparation Part 1 Loading & Exploring Penguins Data.mp4 10.4 MB
7. Classification Modeling/7. SVM.mp4 10.3 MB
7. Classification Modeling/10. Model Hyper Tuning & Optimization.mp4 10.2 MB
6. Regression & Predictions/9. Random Forest Regression.mp4 9.8 MB
6. Regression & Predictions/6. Ridge Regression.mp4 9.7 MB
2. Vocabulary & Descriptive Statistics/2. Introduction to General Statistical Vocabulary.mp4 9.4 MB
3. Distribution Types/5. Poisson Distribution.mp4 8.6 MB
8. Natural Language Processing/5. Movie Reviews Text Analysis & Frequency.mp4 8.2 MB
7. Classification Modeling/5. Logistic Regression.mp4 8.0 MB
8. Natural Language Processing/3. NLTK to Examine Text.mp4 7.6 MB
8. Natural Language Processing/4. For Loop Creation of 8.2.mp4 7.0 MB
8. Natural Language Processing/7. Naive Bayes with NLTK.mp4 6.6 MB
7. Classification Modeling/6. K-Nearest Neighbors.mp4 6.4 MB
5. Confidence Intervals & Hypothesis Testing/3. Introduction to Confidence Intervals & Tests.mp4 6.1 MB
8. Natural Language Processing/6. Finding Features of Textual Data.mp4 5.2 MB
7. Classification Modeling/8. Random Forest.mp4 5.0 MB
1. Google Colab for Data Science/4. Documentation Exploration.mp4 4.6 MB
3. Distribution Types/2. Introduction to Probability Distributions.mp4 3.1 MB
1. Google Colab for Data Science/7. Sharing a Colab Notebook.mp4 2.9 MB
1. Google Colab for Data Science/1. Course Overview.mp4 2.6 MB
3. Distribution Types/8. Summary.mp4 2.5 MB
1. Google Colab for Data Science/3. Google Drive & Colab Introduction.mp4 2.2 MB
6. Regression & Predictions/12. Summary.mp4 1.1 MB
4. Inferential Statistics with Visualizations/1. Introduction.mp4 1.0 MB
1. Google Colab for Data Science/2. Introduction.mp4 974.6 KB
2. Vocabulary & Descriptive Statistics/7. Summary.mp4 924.0 KB
7. Classification Modeling/1. Introduction.mp4 899.6 KB
4. Inferential Statistics with Visualizations/1.1 Inferential Statistics with Visualizations.zip 859.9 KB
5. Confidence Intervals & Hypothesis Testing/1. Introduction.mp4 852.7 KB
4. Inferential Statistics with Visualizations/7. Summary.mp4 831.3 KB
8. Natural Language Processing/1. Introduction.mp4 770.6 KB
7. Classification Modeling/11. Summary.mp4 760.1 KB
6. Regression & Predictions/1. Introduction.mp4 721.3 KB
2. Vocabulary & Descriptive Statistics/1. Introduction.mp4 688.0 KB
3. Distribution Types/1. Introduction.mp4 685.6 KB
8. Natural Language Processing/9. Summary.mp4 649.5 KB
1. Google Colab for Data Science/8. Summary.mp4 563.5 KB
5. Confidence Intervals & Hypothesis Testing/10. Summary.mp4 503.7 KB
7. Classification Modeling/1.1 Classification Modeling.zip 424.0 KB
5. Confidence Intervals & Hypothesis Testing/1.1 Confidence Intervals & Hypothesis Testing.zip 411.6 KB
6. Regression & Predictions/1.1 Regression & Predictions.zip 397.9 KB
3. Distribution Types/1.1 Distribution Types.zip 254.5 KB
8. Natural Language Processing/1.1 Natural Language Processing.zip 253.8 KB
8. Natural Language Processing/11.1 16155477.zip 187.6 KB
5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.srt 43.5 KB
5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.srt 42.6 KB
6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.srt 38.8 KB
5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.srt 37.0 KB
7. Classification Modeling/9. Model Comparison Tool.srt 36.3 KB
8. Natural Language Processing/8. Cosine Similarity Between Texts.srt 34.4 KB
6. Regression & Predictions/10. Model Comparison Tool.srt 32.9 KB
6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.srt 32.4 KB
7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.srt 30.3 KB
5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.srt 27.3 KB
6. Regression & Predictions/4. Linear Regression.srt 27.2 KB
2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.srt 26.2 KB
2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.srt 24.6 KB
4. Inferential Statistics with Visualizations/2. Bar Charts.srt 24.5 KB
4. Inferential Statistics with Visualizations/6. Advanced Visualizations.srt 24.3 KB
1. Google Colab for Data Science/5. Importing Data from Google Drive to Pandas DataFrame.srt 23.8 KB
3. Distribution Types/6. Normal Distribution.srt 22.7 KB
5. Confidence Intervals & Hypothesis Testing/8. ANOVA.srt 22.5 KB
4. Inferential Statistics with Visualizations/4. Box Plots.srt 22.3 KB
5. Confidence Intervals & Hypothesis Testing/4. Assuming Normality.srt 22.1 KB
3. Distribution Types/4. Binomial Distribution.srt 22.1 KB
1. Google Colab for Data Science/6. Importing Data from OneDrive to Pandas DataFrame.srt 21.9 KB
4. Inferential Statistics with Visualizations/3. Histograms.srt 21.5 KB
7. Classification Modeling/4. Naive Bayes.srt 21.5 KB
2. Vocabulary & Descriptive Statistics/2. Introduction to General Statistical Vocabulary.srt 21.4 KB
6. Regression & Predictions/11. Model Hyper Tuning & Optimization.srt 21.3 KB
3. Distribution Types/3. Uniform Distribution.srt 20.4 KB
3. Distribution Types/7. Fitting Distributions - Advanced.srt 19.3 KB
2. Vocabulary & Descriptive Statistics/6. Correlation Coefficient.srt 19.2 KB
4. Inferential Statistics with Visualizations/5. Scatter Plots.srt 18.9 KB
7. Classification Modeling/2. Preparation Part 1 Loading & Exploring Penguins Data.srt 18.9 KB
2. Vocabulary & Descriptive Statistics/1.1 Vocabulary & Descriptive Statistics.zip 18.7 KB
2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.srt 17.9 KB
6. Regression & Predictions/8. ElasticNet Regression.srt 17.4 KB
6. Regression & Predictions/7. Lasso Regression.srt 16.4 KB
5. Confidence Intervals & Hypothesis Testing/2. Seaborn Sample Data & Fitting.srt 16.3 KB
7. Classification Modeling/10. Model Hyper Tuning & Optimization.srt 16.1 KB
3. Distribution Types/5. Poisson Distribution.srt 15.8 KB
6. Regression & Predictions/5. Polynomial Regression.srt 15.7 KB
6. Regression & Predictions/9. Random Forest Regression.srt 14.5 KB
7. Classification Modeling/5. Logistic Regression.srt 14.3 KB
7. Classification Modeling/7. SVM.srt 14.1 KB
8. Natural Language Processing/2. Data Loading & Exploration.srt 14.0 KB
8. Natural Language Processing/5. Movie Reviews Text Analysis & Frequency.srt 13.6 KB
6. Regression & Predictions/6. Ridge Regression.srt 13.5 KB
8. Natural Language Processing/3. NLTK to Examine Text.srt 13.5 KB
5. Confidence Intervals & Hypothesis Testing/3. Introduction to Confidence Intervals & Tests.srt 12.6 KB
8. Natural Language Processing/4. For Loop Creation of 8.2.srt 12.2 KB
8. Natural Language Processing/7. Naive Bayes with NLTK.srt 10.8 KB
7. Classification Modeling/6. K-Nearest Neighbors.srt 9.2 KB
7. Classification Modeling/8. Random Forest.srt 8.0 KB
1. Google Colab for Data Science/4. Documentation Exploration.srt 7.9 KB
8. Natural Language Processing/6. Finding Features of Textual Data.srt 7.5 KB
1. Google Colab for Data Science/7. Sharing a Colab Notebook.srt 6.5 KB
3. Distribution Types/2. Introduction to Probability Distributions.srt 6.2 KB
1. Google Colab for Data Science/1.1 Google Colab for Data Science.zip 6.2 KB
1. Google Colab for Data Science/1. Course Overview.srt 6.0 KB
1. Google Colab for Data Science/3. Google Drive & Colab Introduction.srt 5.2 KB
3. Distribution Types/8. Summary.srt 5.2 KB
1. Google Colab for Data Science/2. Introduction.srt 2.2 KB
6. Regression & Predictions/12. Summary.srt 2.1 KB
4. Inferential Statistics with Visualizations/1. Introduction.srt 2.0 KB
2. Vocabulary & Descriptive Statistics/7. Summary.srt 1.9 KB
5. Confidence Intervals & Hypothesis Testing/1. Introduction.srt 1.6 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 1.3 KB
6. Regression & Predictions/1. Introduction.srt 1.3 KB
8. Natural Language Processing/1. Introduction.srt 1.2 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

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

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