Data & AI
Data Science
Turn raw data into insight with Python, statistics, visualization, and practical analysis workflows.
- Level
- Intermediate
- Mode
- Online & Classroom
- Duration
- 12 Weeks
All Courses
Data & AI
Machine Learning
Understand the core algorithms of machine learning and apply them with scikit-learn and Python.
Course Overview
Machine learning powers recommendation systems, fraud detection, and intelligent products.
This course covers supervised and unsupervised learning with practical model-building projects.
Skills Covered
- Regression
- Classification
- Clustering
- Model evaluation
- scikit-learn
What You Will Achieve
- Train and evaluate ML models
- Choose the right algorithm
- Build end-to-end ML pipelines
Course Content
- 1Machine learning fundamentals
- 2NumPy and Pandas for ML
- 3Data preparation and feature engineering
- 4Regression models
- 5Classification models
- 6Clustering and unsupervised learning
- 7Model evaluation and tuning
- 8scikit-learn workflows
- 9Model deployment basics
- 10Final project development
Projects You Will Build
House Price Predictor
A regression model that predicts house prices from structured features.
Spam Classifier
A classification model that detects spam messages with high accuracy.
Customer Segmentation
A clustering model that segments customers for targeted marketing.
Related Courses
- Level
- Advanced
- Mode
- Online & Classroom
- Duration
- 14 Weeks
Data & AI
Artificial Intelligence
Explore modern AI techniques including neural networks, computer vision, and natural language processing.