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[Udemy] Statistics & Mathematics for Data Science in Python [2020, ENG]
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2022-1-2 12:35
2024-9-3 06:48
190
720.75 MB
72
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相关链接
Udemy
Statistics
&
Mathematics
for
Data
Science
in
Python
2020
ENG
文件列表
5. Confidence Intervals & Hypothesis Testing/10. Summary.mp4
503.67KB
1. Google Colab for Data Science/8. Summary.mp4
563.49KB
8. Natural Language Processing/9. Summary.mp4
649.49KB
3. Distribution Types/1. Introduction.mp4
685.56KB
2. Vocabulary & Descriptive Statistics/1. Introduction.mp4
688.01KB
6. Regression & Predictions/1. Introduction.mp4
721.31KB
7. Classification Modeling/11. Summary.mp4
760.11KB
8. Natural Language Processing/1. Introduction.mp4
770.6KB
4. Inferential Statistics with Visualizations/7. Summary.mp4
831.27KB
5. Confidence Intervals & Hypothesis Testing/1. Introduction.mp4
852.66KB
7. Classification Modeling/1. Introduction.mp4
899.62KB
2. Vocabulary & Descriptive Statistics/7. Summary.mp4
923.97KB
1. Google Colab for Data Science/2. Introduction.mp4
974.6KB
4. Inferential Statistics with Visualizations/1. Introduction.mp4
1.02MB
6. Regression & Predictions/12. Summary.mp4
1.09MB
1. Google Colab for Data Science/3. Google Drive & Colab Introduction.mp4
2.18MB
3. Distribution Types/8. Summary.mp4
2.5MB
1. Google Colab for Data Science/1. Course Overview.mp4
2.63MB
1. Google Colab for Data Science/7. Sharing a Colab Notebook.mp4
2.9MB
3. Distribution Types/2. Introduction to Probability Distributions.mp4
3.11MB
1. Google Colab for Data Science/4. Documentation Exploration.mp4
4.59MB
7. Classification Modeling/8. Random Forest.mp4
5.02MB
8. Natural Language Processing/6. Finding Features of Textual Data.mp4
5.23MB
5. Confidence Intervals & Hypothesis Testing/3. Introduction to Confidence Intervals & Tests.mp4
6.11MB
7. Classification Modeling/6. K-Nearest Neighbors.mp4
6.41MB
8. Natural Language Processing/7. Naive Bayes with NLTK.mp4
6.64MB
8. Natural Language Processing/4. For Loop Creation of 8.2.mp4
6.95MB
8. Natural Language Processing/3. NLTK to Examine Text.mp4
7.6MB
7. Classification Modeling/5. Logistic Regression.mp4
7.99MB
8. Natural Language Processing/5. Movie Reviews Text Analysis & Frequency.mp4
8.22MB
3. Distribution Types/5. Poisson Distribution.mp4
8.58MB
2. Vocabulary & Descriptive Statistics/2. Introduction to General Statistical Vocabulary.mp4
9.4MB
6. Regression & Predictions/6. Ridge Regression.mp4
9.67MB
6. Regression & Predictions/9. Random Forest Regression.mp4
9.8MB
7. Classification Modeling/10. Model Hyper Tuning & Optimization.mp4
10.16MB
7. Classification Modeling/7. SVM.mp4
10.27MB
7. Classification Modeling/2. Preparation Part 1 Loading & Exploring Penguins Data.mp4
10.4MB
8. Natural Language Processing/2. Data Loading & Exploration.mp4
10.49MB
3. Distribution Types/3. Uniform Distribution.mp4
11.02MB
6. Regression & Predictions/5. Polynomial Regression.mp4
11.17MB
2. Vocabulary & Descriptive Statistics/6. Correlation Coefficient.mp4
11.39MB
4. Inferential Statistics with Visualizations/5. Scatter Plots.mp4
11.44MB
5. Confidence Intervals & Hypothesis Testing/2. Seaborn Sample Data & Fitting.mp4
11.5MB
3. Distribution Types/4. Binomial Distribution.mp4
11.57MB
7. Classification Modeling/4. Naive Bayes.mp4
11.73MB
6. Regression & Predictions/8. ElasticNet Regression.mp4
12.14MB
1. Google Colab for Data Science/5. Importing Data from Google Drive to Pandas DataFrame.mp4
12.33MB
4. Inferential Statistics with Visualizations/4. Box Plots.mp4
12.72MB
6. Regression & Predictions/7. Lasso Regression.mp4
12.76MB
4. Inferential Statistics with Visualizations/3. Histograms.mp4
12.77MB
1. Google Colab for Data Science/6. Importing Data from OneDrive to Pandas DataFrame.mp4
12.85MB
5. Confidence Intervals & Hypothesis Testing/4. Assuming Normality.mp4
13.35MB
4. Inferential Statistics with Visualizations/2. Bar Charts.mp4
14.36MB
5. Confidence Intervals & Hypothesis Testing/8. ANOVA.mp4
14.39MB
3. Distribution Types/6. Normal Distribution.mp4
15.11MB
7. Classification Modeling/3. Preparation Part 2 Cleaning & Preparing Penguins Data.mp4
15.94MB
4. Inferential Statistics with Visualizations/6. Advanced Visualizations.mp4
15.95MB
2. Vocabulary & Descriptive Statistics/5. Measures of Center, Essential Analytics.mp4
16.14MB
5. Confidence Intervals & Hypothesis Testing/5. Normal DataProbability Plots with Means.mp4
16.65MB
2. Vocabulary & Descriptive Statistics/4. Summarizing Data with Counts.mp4
16.91MB
3. Distribution Types/7. Fitting Distributions - Advanced.mp4
17.05MB
6. Regression & Predictions/11. Model Hyper Tuning & Optimization.mp4
17.43MB
6. Regression & Predictions/2. Preparation Part 1 Loading & Exploring Diamonds Data.mp4
18.39MB
2. Vocabulary & Descriptive Statistics/3. Variable Types within Data.mp4
19.13MB
8. Natural Language Processing/8. Cosine Similarity Between Texts.mp4
19.84MB
6. Regression & Predictions/4. Linear Regression.mp4
20.72MB
7. Classification Modeling/9. Model Comparison Tool.mp4
20.88MB
6. Regression & Predictions/10. Model Comparison Tool.mp4
21.89MB
5. Confidence Intervals & Hypothesis Testing/9. Non-Normal Data & Bootstrap.mp4
23.4MB
5. Confidence Intervals & Hypothesis Testing/6. Normal Data Categorical Confidence Intervals.mp4
25.48MB
6. Regression & Predictions/3. Preparation Part 2 Categorical Coding & Data Splitting.mp4
25.79MB
5. Confidence Intervals & Hypothesis Testing/7. Normal Data Quantitative Confidence Intervals.mp4
28MB
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