Welcome to Machine Learning Workflow

machine learning workflow

Introduction to key steps and tasks in Machine Learning

Here we discuss Machine Learning Basics, the basic steps to get started with ML, setting up an ML pipeline.

1. Gather Data, Clean Data, Data Preprocessing

Also includes Feature Selection, Feature Engineering, Data Preparation

2. Train Model, Model Fine Tuning, Hyper Parameter Tuning

This is the phase where the model learns. In Neural Networks, weights are learned.

3. Evaluating Model, evaluation metrics, model selection

In depth discussion on loss functions. How to best choose them. Coming soon

4. Deployment

Or loading the model locally.

5. Prediction
6. Monitoring

PRO Coming soon...

Start here Start Here --> Data Preprocessing (coming soon)