Build Intelligent Models for Smarter Business Outcomes.
Beginner-friendly Python + ML foundations
Hands-on training using real datasets
Industry-level ML pipeline approach
Human-touch mentoring to simplify difficult concepts
Placement preparation included
Python for ML
Data Cleaning & Feature Engineering
Linear & Logistic Regression
Decision Trees, Random Forest, XGBoost
Clustering: K-Means & Hierarchical
Model Evaluation Metrics
ML Model Deployment BasicsInternships available with ML-support projects such as model preparation, data prep, and analytics
tasks. Includes resume building & mock interviews.