Tagged: Explanatory Data Analysis


Machine Learning 101: Outliers introduction

Building a Machine Learning might become easier by the day, but there’s a rule of thumb: garbage input equals garbage predictions. Outliers are observation that significantly differ from other observations. Having outliers in your data will...


Machine Learning 101: Linear Regression in Python

Linear Regression is probably the first ML algorithm any Data Scientist will encounter in its journey. As a matter of fact it is the easiest ML algorithm to learn conceptually. Let’s take a look.