Differences between Standardization, Regularization, Normalization in ML

In Machine Learning Data Preprocessing is one of the most important steps to gain key insights from Data. According to Senior Data Scientists, Data Science is 90% data cleaning and rest creating and training Machine Learning Models. Some of the buzz words mentioned above are statistical terms used for cleaning Numerical Data so that different ML models can predict efficiently. After cleaning come the part where we have to optimize the model to get accurate results this and avoid overfitting whic...