Introduction to Machine Learning in Python with Scikit-Learn

What is going to be covered:

In this course we will show you how to implement a linear regression model using Scikit-Learn Library.

Introduction to following core machine learning libraries :

Pandas, Seaborn Matplotlib and ScikitLearn Library

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

This course is suitable for machine learning beginners. We recommend completing online machine learning courses.

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

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