Machine Learning with Python Training

Machine Learning Introduction

Python Data Analysis Libraries (EDA)

Data Pre-processing Techniques

Data Handling (Importing and exporting data from various sources)

Capstone Project

Statistical Inference System (Statistics Analysis)

Dimensionality Reduction (Feature Engineering)

Supervised Learning : Regression

Supervised Learning : Classification

Unsupervised Learning : Clustering

Recommender Systems

Case Study : Design a Recommendation Engine

Reinforcement Learning

Text Mining & Natural Language Processing (NLP)

Word2Vec Analysis

NLP - POS(Parts-of-Speech Tagging)