Machine Learning

Learn how machines learn from data. Build predictive models, explore regression and classification techniques, and apply machine learning algorithms using real datasets and industry-standard tools

Course Content

Introduction to ML

Machine Learning definitions
Applications
Types of Machine Learning

Python for ML

EDA & Data Preprocessing

Feature Engineering

Linear & Logistic Regression

KNN & SVM

Decision Trees & Random Forests

Model Evaluation

Unsupervised Learning

PCA & t-SNE

Association Rule Mining

Ensemble Methods

Cross Validation & Tuning

Model Deployment Basics

Capstone Project – Part 1

Capstone Project – Part 2

Capstone Project – Part 3

ML Interview Prep

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Engaging and easy to follow.

What Will You Learn?

Course Content

Introduction to ML

Machine Learning definitions

Applications

Types of Machine Learning

Python for ML

NumPy

Pandas

Matplotlib

Scikit-learn

EDA & Data Preprocessing

Handling missing data

Outliers

Encoding techniques

Feature scaling

Feature Engineering

Feature selection

Dimensionality reduction overview

Linear & Logistic Regression

Mathematical intuition

Implementation

Evaluation metrics

KNN & SVM

How KNN works

Hyperparameters of KNN

SVM theory

Decision Trees & Random Forests

Tree building

Pruning

Ensemble method

Model Evaluation

Confusion Matrix

ROC-AUC

Precision

Recall

Unsupervised Learning

K-Means Clustering

Hierarchical Clustering

PCA & t-SNE

Dimensionality reduction

Visualization techniques

Association Rule Mining

Apriori algorithm

Eclat algorithm

Ensemble Methods

Bagging

Boosting

Stacking

Cross Validation & Tuning

Grid Search

Random Search

Cross-validation strategies

Model Deployment Basics

Flask / Streamlit introduction

Saving models with joblib

Capstone Project – Part 1

Data loading

EDA

Feature Engineering

Capstone Project – Part 2

Modeling

Hyperparameter Tuning

Evaluation

Capstone Project – Part 3

Deployment overview

Improvements & optimization

ML Interview Prep

Top interview questions

Resume building for ML roles

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