Schedule for Machine Learning

Books to be followed
hands on machine learning with scikit learn and tensorflow
1.4.2018
Introduction to machine learning
2.4.2018
Introduction to statistics and probability
3.4.2018
Understanding Basics of Python and modules required
4.4.2018
Regression (Linear and Logistic)
5.4.2018
Implementing regression techniques
6.4.2018
Other regression techniques and differences
7.4.2018
Implementing other techniques
8.4.2018
Classification (Decision Tree, Naïve Bayes and SVM)
9.4.2018
Implementing
10.4.2018
Other classification techniques
11.4.2018
Implementing
12.4.2018
Discussions with doubts
13.4.2018
Clustering techniques (k means and hierarchiacal)
14.4.2018
Implementing
15.4.2018
Other clustering techniques
16.4.2018
Implementing

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