Linear-regression-demo

There is considerable ambiguity about the concepts of machine learning methodologies and best practices in its implementation among the budding data scientists. This repository consists of simplest possible step-by-step demonstration of solving a real-world problem using linear regression method. It will explain end to end process from data analysis to actual predictions.

Real-world data used:

• Google Stock data downloaded from renowned website Quandl

Procedure of linear regression ML model implementation:

• Data collection from online source
• Data wrangling
• Data visualization
• Feature engineering
• Build a linear regression ML model
• Data separation (training data | test data)
• Train the ML model
• Pickle the trained model
• Quantify the accuracy of ML model
• Predictions using ML model
• Visualize predicted data

**It is assumed that the reader has basic awareness about fundamentals of machine learning.