linearregression

Predicting likelihood of getting selected in University based on past scores using machine learning algorithm Linear Regression

Basic machine learning cycle

In this example we can see the minimum steps in a machine learning program:

1. Data Collection
2. Data analysis
3. Model training
4. Model evaluation

Machine learning cycle

In general machine learning implementation has below steps:

1. Data collection
2. Exploratory daata analysis
3. Data pre-processing
4. Model training
5. Model evaluation & Model tuning
6. Model deployment