Python Programming for Machine Learning
Master Python programming and machine learning fundamentals. Build ML models, work with data, and create AI applications.
Course Overview
Dive into Python programming and machine learning in 3 months. Learn Python basics, data structures, NumPy, Pandas, and build machine learning models with scikit-learn. Work on real AI/ML projects.
What You'll Learn
Course Curriculum
Python Fundamentals
Weeks 1-3
- Python Basics
- Data Structures
- Functions & Modules
- Object-Oriented Programming
Data Science Libraries
Weeks 4-6
- NumPy Arrays
- Pandas DataFrames
- Data Cleaning
- Matplotlib & Seaborn
Machine Learning
Weeks 7-9
- ML Fundamentals
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
ML Projects
Weeks 10-12
- Regression Projects
- Classification Projects
- Model Deployment
- Capstone Project
Prerequisites
- Basic computer skills
- Basic mathematics
- No programming experience required
Career Opportunities
After completing this course, you'll be qualified for the following roles:
Frequently Asked Questions
Do I need programming experience?+
No! We teach Python from scratch. Basic computer skills and math understanding are sufficient.
Is this different from full data science?+
This course focuses on Python programming and ML fundamentals, perfect for beginners entering AI/ML.
What ML projects will I build?+
You'll build prediction models, classification systems, recommendation engines, and more.
Do I need advanced math?+
Basic math is sufficient. We cover necessary mathematical concepts during the course.
Can I get an ML job after this?+
Yes! This course prepares you for entry-level ML roles. We provide job placement assistance.