Python & Machine Learning Foundations

Build a strong foundation in Python, statistics, and core ML algorithms

₹60,000

Course Fee

8 weeks

Duration

5

Modules

Live

Instructor-Led

What You'll Be Able to Do

Course Highlights

Detailed Syllabus

  • NumPy for numerical computing
  • Pandas for data manipulation
  • Matplotlib for visualization
  • Data analysis workflows
  • Probability basics
  • Exploratory Data Analysis (EDA)
  • Data cleaning & preparation
  • Feature engineering fundamentals
  • Linear & logistic regression
  • Classification algorithms
  • scikit-learn pipelines
  • Model evaluation metrics
  • K-Means clustering
  • Dimensionality reduction (PCA)
  • Anomaly detection
  • Customer segmentation project
  • Perceptrons & feedforward networks
  • Backpropagation basics
  • TensorFlow / PyTorch introduction
  • Building your first neural network

Tools & Technologies

Capstone Project

End-to-End ML Model Deployment

Build and deploy a complete ML model with dataset preparation, training pipeline, evaluation dashboard, and API-based deployment. Example projects include a loan default predictor or image classifier.

Frequently Asked Questions

Basic programming knowledge is helpful but not mandatory. We start from Python fundamentals and build up gradually.

Approximately 4 hours of live sessions plus 2-3 hours of self-study and assignments.

Yes! Every module includes practical exercises and projects. You'll work with real datasets throughout.

This course builds a strong foundation. For production-ready ML skills, we recommend following up with our Applied AI program.

Enroll Now

₹60,000

EMI options available

What's Included

Interview Preparation

All learners get priority access to mock interviews and career support.