Self-Projects The directories contain exploratory machine learning project.
The aim of these projects is to perform exploratory: Data analysis, Filling missing data, Feature engineering, Computing feature importance Implementing machine learning algorithms to build model to perform training and prediction on given datasets downloaded from kaggle.
Steps included in this projects: Importing Lib Loading Data Understanding Data Missing Values Exploring Variables(Data Anylasis) Feature Selection Train_test_split/Preparing Data for Modelling Applying different models Choosing right model