Build real-world ML models from scratch

Machine Learning Program

Hands-on training in Python, statistics, and core machine learning algorithms, from regression and classification to tree-based models and neural networks.

Intermediate 3 months 31 lessons

Course Overview

This program builds strong machine learning capability through two months of intensive, expert-led training in Python programming, statistics, and supervised/unsupervised learning algorithms. In the third month, learners apply these skills to an individual project and a collaborative industry project with partner companies, working with real datasets and model-building workflows. The program combines classroom learning, hands-on labs, and mentorship to prepare learners for roles such as Machine Learning Engineer, Data Scientist, and NLP Engineer.

What You'll Learn

Python programming with Anaconda and Jupyter Notebook

Data analysis and manipulation using NumPy and Pandas

Data visualization with Matplotlib and Seaborn

Statistical foundations: central tendency, dispersion, and IQR

Linear and logistic regression with classification metrics

Tree-based models: decision trees, random forest, bagging and boosting

Neural network fundamentals

SQL querying and Power BI dashboards for ML reporting

Curriculum

Anaconda installation and Jupyter Notebook setup
Python data types and architecture best practices
Lists, tuples, sets, and dictionaries
File handling and reading text files
Loops and conditionals (if/elif/else, for, while)
Problem-solving with Python

Requirements

Basic computer literacy
Interest in machine learning and artificial intelligence
Basic familiarity with mathematics and statistics
No prior programming experience required, but helpful

Limited Seats

Ready to Get Started?

Talk to our team about Machine Learning Program, including batch schedule, curriculum, and how it fits your career goals.

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