Machine-Learning-Notes

Notes in my journey in 100 days of code for machine learning

Day 01

learn data preprocessing for machine learning using sklearn

- import data
- work with missing values
- work with categorical data and dummy variable
- Scalling the data
- split data to train, and test 

Day 02

learn linear regression using sklearn

- math behined linear regression
- simple linear regression 
- multiple linear regression
- cost function
- confuse matric

Day 03

learn logistic regression using sklearn

- what is logistic regression
- math behind logistic regression
- EDA
- Data Visiluaztion 
- logistic regression implementation in breast cancer data set
- build a predictive system to the model