It is tried to introduce machine learning very easily in this book with python implementation technique. You will find 3 popular machine learning problems and their step by step solutions.
Prediction on iris plants dataset (data is taken from sklearn.datasets)
Titanic - Machine Learning from Disaster (kaggle link :https://www.kaggle.com/c/titanic )
House Prices Advanced Regression Techniques (kaggle link:https://www.kaggle.com/c/house-prices-advanced-regression-techniques )
In chapter 1, some basic machine learning concepts is defined easily. In chapter 2, popular used python libraries is introduced. How to install, how to use etc. In chapter 3, Implementation of ML technique in iris plants dataset. In chapter 4, Prediction of survived and dead based on Titanic - Machine Learning from Disaster data. In chapter 5, Training on House Prices - Advanced Regression Techniques dataset.
The following steps are done to solve the problems:
Checking data leakage
Handling Categorical variables
Handling missing values
Handling class imbalance
Building model and prediction
Evaluating technique of model
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