Swapnil2095/Practical-Machine-Learning

Practical Machine Learning

Practical machine learning notebook & articles covers the machine learning project life cycle.

Overview of Machine Learning Project Life Cycle

• End-to-End Machine Learning Workflow [Part 1]
• End-to-End Machine Learning Workflow [Part 2]

Data Collection

Data Preprocessing & Feature Engineering

• How To Split Data Effectively for Your Data Science Project [Code | Article ]
• Six Reasons Why Your Model Gives Bad Results

Modeling

• Brief Guide for Machine Learning Model Selection

Supervised Machine Learning Modeling

• Practical Guide to Support Vector Machine in Python [Code | Article]

• Practical Guide to Boosting Algorithms In Machine Learning [Code | Article]

Unsupervised Machine Learning Modeling

• Overview of Unsupervised Machine Learning Tasks & Applications
• Practical Guide to Dimesnioality Reduction in Python [Code | Article]
• How to Find the Optimal Number of Clusters Effectively [ Code | Article ]

Deep Learning Modeling

• Building Complex Models Using Keras Functional API [Code | Article]
• A Quick Setup for Neural Networks Hyperparameters for Best Results

Machine Learning Explainability

• Machine Learning Models Are No Longer A Black Box

Model Deployment