MACHINE LEARNING
Course Content
Basic
-
1 overview
05:02 -
2 data types
03:10 -
3 mean
07:09 -
4 mode & median
17:06 -
5 standard deviation
06:45 -
6 variance
08:59 -
7 percentile
09:14 -
8 Data Distribution
13:18 -
9 normal data distribution
07:55 -
10 scatter plot
14:04
Linear Regression
Polynomial Regression
Multiple Regression
Install scikit-learn documentation
Decision Tree
Confusion Matrix
Hirarchical Clustering
Logistic Regression
Grid Search
Categorical Data
K – means
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