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[Udemy] Statistics & Mathematics for Data Science in Python [2020, ENG]
magnet:?xt=urn:btih:c9089fed8ead6eff1f548d041963d7b044f09387&dn=[Udemy] Statistics & Mathematics for Data Science in Python [2020, ENG]
磁力链接详情
Hash值:
c9089fed8ead6eff1f548d041963d7b044f09387
点击数:
161
文件大小:
720.75 MB
文件数量:
72
创建日期:
2022-1-2 12:35
最后访问:
2024-6-12 21:17
访问标签:
Udemy
Statistics
&
Mathematics
for
Data
Science
in
Python
2020
ENG
文件列表详情
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
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
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