Machine Learning
Professional Certificate
Begin your journey into the exciting world of Machine Learning with this comprehensive, beginner-friendly course. Start with Python essentials and build up to core ML concepts and deployments.
What you'll learn
Requirements
- •Designed for absolute beginners as well as those with some prior knowledge of Python.
- •Download & Install VSCode, Git, Python, and Anaconda on your machine.
- •A computer with internet access to use Google Colab and GitHub.
- •No paid software required — we use open-source tools like Scikit-learn, Pandas, Seaborn, Streamlit, and Flask.
Description
Begin your journey into the exciting world of Machine Learning with this comprehensive, beginner-friendly bootcamp.
Starting with Python programming essentials, this course gradually builds up to core machine learning concepts and techniques. You will gain hands-on experience in data preprocessing, exploratory data analysis, and implementing algorithms from scratch.
Unlike traditional courses, this program focuses heavily on real-world applications and deployment. You won't just train models in Jupyter Notebooks; you will learn how to deploy them as interactive web applications using Streamlit and scalable backend APIs using Flask. By the end of this course, you will have a solid foundation in AI, an impressive portfolio of 10 practical projects, and the skills required to step confidently into the tech industry.
10 Real-World Capstone Projects
Build a high-impact portfolio by solving real industry challenges. These projects ensure you are job-ready.
Tips Prediction Model
Build a fundamental regression model to predict the amount of tips received based on the number of orders.
Startup Profit Predictor
Analyze R&D, Administration, and Marketing expenditures to predict a startup's potential profit.
Student Success Predictor
Develop a classification model to predict whether a student will pass or fail based on attendance and study hours.
Customer Purchase Predictor
Determine the probability of a customer making a purchase based on their age and historical behavior.
A-Level Z-Score Predictor
An end-to-end project cleaning a massive real-world dataset of 300,000+ records to predict student Z-Scores.
Customer Segmentation App
Use unsupervised learning to group customers into distinct segments based on income and spending habits.
iPhone Purchase Predictor
Calculate Euclidean distance to predict if a customer will buy a high-end device based on salary and age.
Book Recommendation System
Build a content-filtering engine like Netflix or Amazon to recommend books based on authors and genres.
Diabetes Prediction API
Create a scalable backend API using Flask that receives medical data and returns health predictions.
Spam Detection Web App
Build a full-stack Natural Language Processing (NLP) application to identify spam emails with high accuracy.
Course Content
5 sections • 27 lectures • 50h total
Start Learning for Free!
The 3 days are completely unlocked. Watch them now without any payment.
Frequently Asked Questions
30-Day Money-Back Guarantee