learning - 磁力管家 - 男人都爱上的磁力连接搜索引擎

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linkedin.learning.exam.prep.mb-920.microsoft.dynamics.365.fundamentals.erp-xqzt.r00 50.0 MB
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2. Understanding Data Wrangling/7. Cleaning Messy Data.mp4 33.6 MB
2. Understanding Data Wrangling/3. Selecting data and finding the most common complaint type.mp4 26.3 MB
6. Regularization/6. Regularization using scikit-learn.mp4 24.0 MB
3. Linear Regression/5. Simple Linear Regression.mp4 23.0 MB
2. Understanding Data Wrangling/6. Which month was the snowiest.mp4 21.4 MB
3. Linear Regression/11. Handling categorical features.mp4 20.8 MB
2. Understanding Data Wrangling/4. Which borough has the most noise complaints.mp4 20.4 MB
1. Working with Machine Learning/5. Python and Jupyter Demo.mp4 18.5 MB
2. Understanding Data Wrangling/5. Which weekday do people bike the most.mp4 17.8 MB
6. Regularization/4. Regularizing linear models.mp4 17.7 MB
2. Understanding Data Wrangling/8. How to deal with timestamps.mp4 17.2 MB
4. Logistic Regression/8. Interpreting logistic regression.mp4 17.1 MB
2. Understanding Data Wrangling/2. Reading from a CSV.mp4 16.8 MB
5. Cross Validation/4. Cross-validation continued.mp4 16.7 MB
4. Logistic Regression/4. Predicting a categorical response.mp4 16.5 MB
3. Linear Regression/8. Multiple linear regression.mp4 16.1 MB
4. Logistic Regression/6. Probability, odds, log-odds.mp4 15.8 MB
2. Understanding Data Wrangling/9. Loading data from SQL databases.mp4 14.1 MB
6. Regularization/8. Pipeline and GridSearchCV.mp4 13.2 MB
6. Regularization/3. Overfitting with linear models.mp4 13.1 MB