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Intro to Sklearn
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Algorithms
Linear Regression
K-Nearest Neighbor
Support Vector Machines
Decision Trees
Random Forests
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Measuring Errors
Mean Squared Error
Mean Absolute Error
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Processing Data
One-Hot Encoding
GridSearchCV
Train-Test-Split
Pearson Correlation Coefficient
Normalize Data
Normalize NumPy
Correlation Matrix