What is going to be covered:

Introduction to Machine Learning

Introduction to following core machine learning libraries :

Numpy, Pandas, Matplotlib, ScikitLearn

Types of Machine Learning

1. Supervised
2. Unsupervised
3. Reinforced

We will implement a linear regression model from start to finish in PYTHON Jupyter notebook environment.

Steps:

1. Data Visualization
2. Data Preparation
3. Model Building
4. Model Evaluation

Please go through the following notebook to familiarise yourself with the process

https://www.kaggle.com/dansbecker/your-first-machine-learning-model