Course Overview

Data is the new oil, and Machine Learning is the engine that processes it. This intensive 3-month program dives deep into the algorithms that power modern technology. You will learn to extract patterns from data, build predictive models, and deploy them into production environments.

What You Will Learn

  • Data Preprocessing: Handling missing data, feature scaling, and categorical data encoding using Pandas and Scikit-learn.
  • Supervised Learning: Linear regression, logistic regression, decision trees, random forests, and Support Vector Machines (SVM).
  • Unsupervised Learning: K-Means clustering, hierarchical clustering, and Principal Component Analysis (PCA).
  • Model Evaluation: Cross-validation, hyperparameter tuning, confusion matrix, ROC-AUC curves.

Real-time Capstone Project

Build a complete ML pipeline. From scraping and cleaning real-world data to training a model and deploying it as a web service API using Flask or FastAPI.

Course Highlights

Duration
3 Months
Skill Level
Advanced
Certification
Industry Recognized
Placement
100% Assistance

Frequently Asked Questions

You will master essential Python libraries including NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn.

While an understanding of linear algebra and probability is helpful, our course focuses heavily on practical implementation and intuition, making it accessible even if math isn't your strongest subject.