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

Creation Time	Nov. 24, 2023, 3:14 p.m.
Last Access Time	Nov. 21, 2024, 9:23 p.m.
File Size	724.6 MB
Keywords	Statistics for ENG Python Science Udemy 2020 in Mathematics Data
Total Requests	156
Total Files	162
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

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]

File List

Download Torrent

Related Resources

Copyright Infringement