Machine Learning Certification Training Course using Python

Course Content

Introduction to Data Science

 What is Data Science?

 What does Data Science involve?

 Era of Data Science

 Business Intelligence vs Data Science

 Life cycle of Data Science

 Tools of Data Science

 Introduction to Python

Data Extraction, Wrangling, & Visualization

 Data Analysis Pipeline

 What is Data Extraction

 Types of Data

 Raw and Processed Data

 Data Wrangling

 Exploratory Data Analysis

 Visualization of Data

 Hands-On

Introduction to Machine Learning with Python

 Python Revision (numpy, Pandas, scikit learn, matplotlib)

 What is Machine Learning?

 Machine Learning Use-Cases

 Machine Learning Process Flow

 Machine Learning Categories

 Linear regression

 Gradient descent

 Hands-On

Supervised Learning - I

 What is Classification and its use cases?

 What is Decision Tree?

 Algorithm for Decision Tree Induction

 Creating a Perfect Decision Tree

 Confusion Matrix

 What is Random Forest?

 Hands-On

Dimensionality Reduction

 Introduction to Dimensionality

 Why Dimensionality Reduction

 PCA

 Factor Analysis

 Scaling dimensional model

 LDA

 Hands-On

Supervised Learning - II

 What is Naïve Bayes?

 How Naïve Bayes works?

 Implementing Naïve Bayes Classifier

 What is Support Vector Machine?

 Illustrate how Support Vector Machine works?

 Hyperparameter optimization

 Grid Search vs Random Search

 Implementation of Support Vector Machine for Classification

 Hands-On

Unsupervised Learning

 What is Clustering & its Use Cases?

 What is K-means Clustering?

 How K-means algorithm works?

 How to do optimal clustering

 What is C-means Clustering?

 What is Hierarchical Clustering?

 How Hierarchical Clustering works?

 Hands-On

Association Rules Mining and Recommendation Systems

 What are Association Rules?

 Association Rule Parameters

 Calculating Association Rule Parameters

 Recommendation Engines

 How Recommendation Engines work?

 Collaborative Filtering

 Content Based Filtering

 Hands-On

Reinforcement Learning

 What is Reinforcement Learning

 Why Reinforcement Learning

 Elements of Reinforcement Learning

 Exploration vs Exploitation dilemma

 Epsilon Greedy Algorithm

 Markov Decision Process (MDP)

 Q values and V values

 Q – Learning

 α values

 Hands-On

Time Series Analysis

 What is Time Series Analysis?

 Importance of TSA

 Components of TSA

 White Noise

 AR model

 MA model

 ARMA model

 ARIMA model

 Stationarity

 ACF & PACF

 Hands-On

Model Selection and Boosting

 What is Model Selection?

 Need of Model Selection

 Cross – Validation

 What is Boosting?

 How Boosting Algorithms work?

 Types of Boosting Algorithms

 Adaptive Boosting

 Hands-On

In-Class Project