About the program

This course provides a comprehensive introduction to machine learning concepts, algorithms, and real world applications. It covers data preprocessing, supervised and unsupervised learning techniques, model training, performance evaluation, and predictive analytics. Students will learn how machines learn from data and how to build intelligent systems for tasks such as classification, prediction, and pattern recognition. Understand the fundamentals and types of machine learning algorithms. Perform data preprocessing and feature extraction for machine learning models. Apply supervised and unsupervised learning techniques to solve realworld problems. Build and evaluate machine learning models for prediction and classification. Analyze model performance using appropriate evaluation metrics.

Perks

internships certificate offer letter letter of recommendation

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 16 Weeks
4. have relevant skills and interests

Terms of Engagement

intern must submit code/project by end of the internship to avail internship completion certificate

Number of openings

10