Intermediate

Machine Learning

Teach machines to learn from data and make predictions

Duration

3 Months

Level

Intermediate

Fee Range

₹35,000 - ₹50,000

Course Overview

About This Course

Machine Learning is the backbone of modern AI systems, powering recommendations on Netflix, fraud detection at banks, and self-driving car technology. This intermediate-level course at AiinfoxAcademy dives deep into ML algorithms, model evaluation, and production-ready pipelines.

You will master both supervised and unsupervised learning techniques, understand feature engineering best practices, and gain hands-on experience with industry-standard tools like Scikit-learn, XGBoost, and more.

Our project-driven approach ensures you don’t just memorize theory—you apply every concept to real datasets and walk away with a solid portfolio of ML projects.

Curriculum

Course Modules

01Supervised Learning (Regression & Classification)

02Unsupervised Learning (Clustering & Dimensionality Reduction)

03Feature Engineering & Selection

04Model Evaluation & Cross-Validation

05Random Forests & Gradient Boosting

06Support Vector Machines (SVM)

07Ensemble Methods & Stacking

08End-to-End ML Pipelines & Deployment

Outcomes

What You'll Learn

Implement classification, regression, and clustering algorithms from scratch

Engineer and select features that improve model performance

Evaluate models using precision, recall, AUC-ROC, and cross-validation

Build ensemble models that achieve state-of-the-art accuracy

Create end-to-end ML pipelines ready for production deployment

Careers

Career Opportunities

ML Engineer

Data Scientist

Research Analyst

Applied Scientist

Requirements

Prerequisites

Proficiency in Python programming

Basic knowledge of statistics and probability

Familiarity with NumPy and Pandas is helpful

Ready to Start Your Machine Learning Journey?

Enroll now and join hundreds of students building successful careers with AiinfoxAcademy.

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