[Udemy] Statistics & Mathematics for Data Science in Python [2020, ENG]
大小
724.63 MB
文件数
162
Info Hash:
C9089FED8EAD6EFF1F548D041963D7B044F09387
收录时间
2026-01-05 03:54:18
更新时间
2026-01-05 03:54:18
文件列表 (162)
7. Classification Modeling/12. Quiz 7.html
160 B
6. Regression & Predictions/13. Quiz 6.html
160 B
1. Google Colab for Data Science/9. Quiz 1.html
160 B
4. Inferential Statistics with Visualizations/8. Quiz 4.html
160 B
2. Vocabulary & Descriptive Statistics/8. Quiz-2.html
160 B
5. Confidence Intervals & Hypothesis Testing/11. Quiz 5.html
160 B
3. Distribution Types/9. Quiz 3.html
160 B
8. Natural Language Processing/10. Quiz 8.html
160 B
8. Natural Language Processing/11. Project Resource File.html
528 B
5. Confidence Intervals & Hypothesis Testing/10. Summary.srt
1.06 KB
1. Google Colab for Data Science/8. Summary.srt
1.08 KB
8. Natural Language Processing/9. Summary.srt
1.19 KB
3. Distribution Types/1. Introduction.srt
1.21 KB
8. Natural Language Processing/1. Introduction.srt
1.23 KB
6. Regression & Predictions/1. Introduction.srt
1.31 KB
7. Classification Modeling/11. Summary.srt
1.34 KB
2. Vocabulary & Descriptive Statistics/1. Introduction.srt
1.36 KB
7. Classification Modeling/1. Introduction.srt
1.45 KB
4. Inferential Statistics with Visualizations/7. Summary.srt
1.57 KB
5. Confidence Intervals & Hypothesis Testing/1. Introduction.srt
1.61 KB
2. Vocabulary & Descriptive Statistics/7. Summary.srt
1.92 KB
4. Inferential Statistics with Visualizations/1. Introduction.srt
1.98 KB
6. Regression & Predictions/12. Summary.srt
2.12 KB
1. Google Colab for Data Science/2. Introduction.srt
2.15 KB
3. Distribution Types/8. Summary.srt
5.19 KB
1. Google Colab for Data Science/3. Google Drive & Colab Introduction.srt
5.19 KB
1. Google Colab for Data Science/1. Course Overview.srt
6.05 KB
1. Google Colab for Data Science/1.1 Google Colab for Data Science.zip
6.2 KB
3. Distribution Types/2. Introduction to Probability Distributions.srt
6.23 KB
1. Google Colab for Data Science/7. Sharing a Colab Notebook.srt
6.47 KB
8. Natural Language Processing/6. Finding Features of Textual Data.srt
7.49 KB
1. Google Colab for Data Science/4. Documentation Exploration.srt
7.86 KB
7. Classification Modeling/8. Random Forest.srt
8 KB
7. Classification Modeling/6. K-Nearest Neighbors.srt
9.16 KB
8. Natural Language Processing/7. Naive Bayes with NLTK.srt
10.76 KB
8. Natural Language Processing/4. For Loop Creation of 8.2.srt
12.24 KB
5. Confidence Intervals & Hypothesis Testing/3. Introduction to Confidence Intervals & Tests.srt
12.61 KB
8. Natural Language Processing/3. NLTK to Examine Text.srt
13.48 KB
6. Regression & Predictions/6. Ridge Regression.srt
13.54 KB
8. Natural Language Processing/5. Movie Reviews Text Analysis & Frequency.srt
13.59 KB
8. Natural Language Processing/2. Data Loading & Exploration.srt
13.97 KB
7. Classification Modeling/7. SVM.srt
14.08 KB
7. Classification Modeling/5. Logistic Regression.srt
14.32 KB
6. Regression & Predictions/9. Random Forest Regression.srt
14.49 KB
6. Regression & Predictions/5. Polynomial Regression.srt
15.68 KB
3. Distribution Types/5. Poisson Distribution.srt
15.77 KB
7. Classification Modeling/10. Model Hyper Tuning & Optimization.srt
16.12 KB
5. Confidence Intervals & Hypothesis Testing/2. Seaborn Sample Data & Fitting.srt
16.28 KB
6. Regression & Predictions/7. Lasso Regression.srt
16.35 KB
6. Regression & Predictions/8. ElasticNet Regression.srt
17.37 KB
2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.srt
17.87 KB
2. Vocabulary & Descriptive Statistics/1.1 Vocabulary & Descriptive Statistics.zip
18.69 KB
7. Classification Modeling/2. Preparation Part 1 Loading & Exploring Penguins Data.srt
18.87 KB
4. Inferential Statistics with Visualizations/5. Scatter Plots.srt
18.87 KB
2. Vocabulary & Descriptive Statistics/6. Correlation Coefficient.srt
19.21 KB
3. Distribution Types/7. Fitting Distributions - Advanced.srt
19.31 KB
3. Distribution Types/3. Uniform Distribution.srt
20.44 KB
6. Regression & Predictions/11. Model Hyper Tuning & Optimization.srt
21.26 KB
2. Vocabulary & Descriptive Statistics/2. Introduction to General Statistical Vocabulary.srt
21.38 KB
7. Classification Modeling/4. Naive Bayes.srt
21.54 KB
4. Inferential Statistics with Visualizations/3. Histograms.srt
21.55 KB
1. Google Colab for Data Science/6. Importing Data from OneDrive to Pandas DataFrame.srt
21.88 KB
3. Distribution Types/4. Binomial Distribution.srt
22.12 KB
5. Confidence Intervals & Hypothesis Testing/4. Assuming Normality.srt
22.14 KB
4. Inferential Statistics with Visualizations/4. Box Plots.srt
22.28 KB
5. Confidence Intervals & Hypothesis Testing/8. ANOVA.srt
22.51 KB
3. Distribution Types/6. Normal Distribution.srt
22.72 KB
1. Google Colab for Data Science/5. Importing Data from Google Drive to Pandas DataFrame.srt
23.82 KB
4. Inferential Statistics with Visualizations/6. Advanced Visualizations.srt
24.28 KB
4. Inferential Statistics with Visualizations/2. Bar Charts.srt
24.51 KB
2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.srt
24.58 KB
2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.srt
26.22 KB
6. Regression & Predictions/4. Linear Regression.srt
27.23 KB
5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.srt
27.26 KB
7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.srt
30.32 KB
6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.srt
32.43 KB
6. Regression & Predictions/10. Model Comparison Tool.srt
32.94 KB
8. Natural Language Processing/8. Cosine Similarity Between Texts.srt
34.44 KB
7. Classification Modeling/9. Model Comparison Tool.srt
36.31 KB
5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.srt
36.96 KB
6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.srt
38.75 KB
5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.srt
42.62 KB
5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.srt
43.51 KB
8. Natural Language Processing/11.1 16155477.zip
187.6 KB
8. Natural Language Processing/1.1 Natural Language Processing.zip
253.77 KB
3. Distribution Types/1.1 Distribution Types.zip
254.55 KB
6. Regression & Predictions/1.1 Regression & Predictions.zip
397.89 KB
5. Confidence Intervals & Hypothesis Testing/1.1 Confidence Intervals & Hypothesis Testing.zip
411.58 KB
7. Classification Modeling/1.1 Classification Modeling.zip
424.02 KB
5. Confidence Intervals & Hypothesis Testing/10. Summary.mp4
503.67 KB
1. Google Colab for Data Science/8. Summary.mp4
563.49 KB
8. Natural Language Processing/9. Summary.mp4
649.49 KB
3. Distribution Types/1. Introduction.mp4
685.56 KB
2. Vocabulary & Descriptive Statistics/1. Introduction.mp4
688.01 KB
6. Regression & Predictions/1. Introduction.mp4
721.31 KB
7. Classification Modeling/11. Summary.mp4
760.11 KB
8. Natural Language Processing/1. Introduction.mp4
770.6 KB
4. Inferential Statistics with Visualizations/7. Summary.mp4
831.27 KB
5. Confidence Intervals & Hypothesis Testing/1. Introduction.mp4
852.66 KB
4. Inferential Statistics with Visualizations/1.1 Inferential Statistics with Visualizations.zip
859.87 KB
7. Classification Modeling/1. Introduction.mp4
899.62 KB
2. Vocabulary & Descriptive Statistics/7. Summary.mp4
923.97 KB
1. Google Colab for Data Science/2. Introduction.mp4
974.6 KB
4. Inferential Statistics with Visualizations/1. Introduction.mp4
1.02 MB
6. Regression & Predictions/12. Summary.mp4
1.09 MB
1. Google Colab for Data Science/3. Google Drive & Colab Introduction.mp4
2.18 MB
3. Distribution Types/8. Summary.mp4
2.5 MB
1. Google Colab for Data Science/1. Course Overview.mp4
2.63 MB
1. Google Colab for Data Science/7. Sharing a Colab Notebook.mp4
2.9 MB
3. Distribution Types/2. Introduction to Probability Distributions.mp4
3.11 MB
1. Google Colab for Data Science/4. Documentation Exploration.mp4
4.59 MB
7. Classification Modeling/8. Random Forest.mp4
5.02 MB
8. Natural Language Processing/6. Finding Features of Textual Data.mp4
5.23 MB
5. Confidence Intervals & Hypothesis Testing/3. Introduction to Confidence Intervals & Tests.mp4
6.11 MB
7. Classification Modeling/6. K-Nearest Neighbors.mp4
6.41 MB
8. Natural Language Processing/7. Naive Bayes with NLTK.mp4
6.64 MB
8. Natural Language Processing/4. For Loop Creation of 8.2.mp4
6.95 MB
8. Natural Language Processing/3. NLTK to Examine Text.mp4
7.6 MB
7. Classification Modeling/5. Logistic Regression.mp4
7.99 MB
8. Natural Language Processing/5. Movie Reviews Text Analysis & Frequency.mp4
8.22 MB
3. Distribution Types/5. Poisson Distribution.mp4
8.58 MB
2. Vocabulary & Descriptive Statistics/2. Introduction to General Statistical Vocabulary.mp4
9.4 MB
6. Regression & Predictions/6. Ridge Regression.mp4
9.67 MB
6. Regression & Predictions/9. Random Forest Regression.mp4
9.8 MB
7. Classification Modeling/10. Model Hyper Tuning & Optimization.mp4
10.16 MB
7. Classification Modeling/7. SVM.mp4
10.27 MB
7. Classification Modeling/2. Preparation Part 1 Loading & Exploring Penguins Data.mp4
10.4 MB
8. Natural Language Processing/2. Data Loading & Exploration.mp4
10.49 MB
3. Distribution Types/3. Uniform Distribution.mp4
11.02 MB
6. Regression & Predictions/5. Polynomial Regression.mp4
11.17 MB
2. Vocabulary & Descriptive Statistics/6. Correlation Coefficient.mp4
11.39 MB
4. Inferential Statistics with Visualizations/5. Scatter Plots.mp4
11.44 MB
5. Confidence Intervals & Hypothesis Testing/2. Seaborn Sample Data & Fitting.mp4
11.5 MB
3. Distribution Types/4. Binomial Distribution.mp4
11.57 MB
7. Classification Modeling/4. Naive Bayes.mp4
11.73 MB
6. Regression & Predictions/8. ElasticNet Regression.mp4
12.14 MB
1. Google Colab for Data Science/5. Importing Data from Google Drive to Pandas DataFrame.mp4
12.33 MB
4. Inferential Statistics with Visualizations/4. Box Plots.mp4
12.72 MB
6. Regression & Predictions/7. Lasso Regression.mp4
12.76 MB
4. Inferential Statistics with Visualizations/3. Histograms.mp4
12.77 MB
1. Google Colab for Data Science/6. Importing Data from OneDrive to Pandas DataFrame.mp4
12.85 MB
5. Confidence Intervals & Hypothesis Testing/4. Assuming Normality.mp4
13.35 MB
4. Inferential Statistics with Visualizations/2. Bar Charts.mp4
14.36 MB
5. Confidence Intervals & Hypothesis Testing/8. ANOVA.mp4
14.39 MB
3. Distribution Types/6. Normal Distribution.mp4
15.11 MB
7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.mp4
15.94 MB
4. Inferential Statistics with Visualizations/6. Advanced Visualizations.mp4
15.95 MB
2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.mp4
16.14 MB
5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.mp4
16.65 MB
2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.mp4
16.91 MB
3. Distribution Types/7. Fitting Distributions - Advanced.mp4
17.05 MB
6. Regression & Predictions/11. Model Hyper Tuning & Optimization.mp4
17.43 MB
6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.mp4
18.39 MB
2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.mp4
19.13 MB
8. Natural Language Processing/8. Cosine Similarity Between Texts.mp4
19.84 MB
6. Regression & Predictions/4. Linear Regression.mp4
20.72 MB
7. Classification Modeling/9. Model Comparison Tool.mp4
20.88 MB
6. Regression & Predictions/10. Model Comparison Tool.mp4
21.89 MB
5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.mp4
23.4 MB
5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.mp4
25.48 MB
6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.mp4
25.79 MB
5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.mp4
28 MB