AI & Machine Learning

AI & Machine Learning Foundations

Hands-on ML foundations with Python, scikit-learn and real datasets.

4.8

380 students

12 weeks

Beginner to Intermediate

About This Course

This foundations program is built to give you a strong, hands-on understanding of core machine learning concepts without requiring an advanced math background. You will start by exploring how data is prepared for modeling using Python, pandas and NumPy, learning to clean, transform and visualize datasets in a structured way. From there, you will implement key supervised learning algorithms such as linear regression, logistic regression and decision trees using scikit-learn, while learning how to evaluate them with the right metrics and validation techniques. As you progress, you will work with feature engineering, model tuning and simple pipelines that mirror the workflows used by practicing ML engineers. The course wraps up with an end-to-end project where you choose a problem, build and compare models, and present your findings like you would in a real company setting. By the end, you will understand not just how to run ML code, but how to think like a machine learning practitioner.

What You'll Learn

✔Understand the core ideas behind machine learning

✔Implement common ML algorithms using scikit-learn

✔Evaluate models with the right metrics and validation

✔Build and ship end-to-end ML mini-projects

Course Syllabus

WEEK 1

Intro to ML and Python for Data

•What is ML and where it is used
•NumPy, pandas and dataframes
•Exploratory data analysis

WEEK 2

Supervised Learning I

•Regression models
•Classification models
•Train-test split and evaluation metrics

WEEK 3

Supervised Learning II and Feature Engineering

•Tree-based models
•Feature scaling and encoding
•Cross-validation and hyperparameter tuning

WEEK 4

End-to-End ML Project

•Building a complete ML pipeline
•Model selection and comparison
•Presenting and deploying models (overview)

Who Is This Course For?

✔Beginners with basic Python looking to enter AI/ML

✔Software engineers transitioning into ML roles

✔Students preparing for ML internships and projects

Your Instructor

Dr. Rajesh Kumar

Data Science Lead

PhD in Machine Learning from MIT. Previously led data teams at Amazon and Microsoft.

4.9 rating

• 4,231 learners• 6 courses

₹499₹3999

Limited seats • Includes certification & lifetime access

This course includes

✔Mathematics-light, intuition-first approach

✔Multiple ML projects on real datasets

✔End-to-end ML pipeline implementation

✔Doubt support and code walkthroughs

✔30-day satisfaction guarantee

✔Flexible batch timings & mentor support