Welcome to this journey of machine learning life cycle in 15 days. Before starting this one should have a bit of programming experience and statistics background. You won't have time to review but the enormous immersion will expose you to most of the topic. In this journey, you will gain an intuition of the big picture. I think 15 days is also definitely a time frame where you can get a good overview of machine learning. You can definitely pick up essential applied machine learning skills. By that I mean you will be able to take existing implementations of an algorithm from packages and apply them smartly to different data sets.
15 Days plan to explore machine learning life cycle.
Day 2:- Stages of the predictive model
Day 6:- Techniques of missing value treatment
Day 7:- Outlier treatment
Day 8:- Variable transformation
Day 9:- Build a predictive model
Day 10:- .Train andTest a model
Day 11:- Evaluation metrics
Day 12:- Selecting the right model
Day 13:- clustering
Day 14:- Classification problem using logistic regression.
Day 15:- A study of regression problem using Decision tree
I hope you will enjoy this journey. All the best!
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