Machine Learning

Build predictive models and algorithms that learn from data using Scikit-Learn and advanced ML techniques.

Course Overview

This comprehensive program is designed to take you from fundamentals to advanced concepts. Learn from industry experts and build a powerful portfolio that gets you hired.

📅 Duration

3 Months

📈 Level

Beginner → Advanced

💻 Projects

Why Choose AGS Academy?

100% Placement Support

Get guaranteed placement assistance in top MNCs. We provide dedicated interview prep, resume building, and mock interviews to make you job-ready.

Learn from Global Mentors

Our instructors are industry veterans with 10+ years of experience from top tech hubs abroad, including the UK and Australia.

Industry Certification

Earn a globally recognized completion certificate. Validate your skills and stand out to top tech recruiters.

Portfolio-Ready Projects

Don't just watch videos. Build real-world applications that you can show off to recruiters to prove your expertise.

Course Curriculum

Module 1

ML Fundamentals

Bias-Variance Tradeoff
Cross-Validation & K-Fold
Scikit-Learn Basics
Feature Scaling & Encoding
Handling Imbalanced Datasets

Module 2

Supervised Learning

Linear & Logistic Regression
Support Vector Machines (SVM)
K-Nearest Neighbors (KNN)
Decision Trees
Ensemble Methods (Random Forest, XGBoost, AdaBoost, LightGBM)

Module 3

Unsupervised Learning

K-Means Clustering
Hierarchical Clustering
DBSCAN
Principal Component Analysis (PCA)
t-SNE for Dimensionality Reduction

Module 4

Model Deployment & MLOps

Saving Models (Pickle, Joblib)
Building APIs with FastAPI/Flask
Deploying ML Models to AWS/GCP
Introduction to MLflow & Model Tracking
Docker for ML

Module 5

Placement & Interview Prep

ML Interview Questions
Kaggle Competitions Strategy
Resume Building
Mock Interviews

Course Details

Format

Live Online

Duration