What You'll Learn
- Turn raw data into powerful insights using Python’s top libraries—NumPy, Pandas, and Matplotlib.
- Build machine learning models that predict trends, classify data, and solve real-world problems.
- Master supervised & unsupervised learning through fun, clear, and hands-on coding sessions.
- Clean, transform & prepare messy datasets into polished, analysis-ready data.
- Apply regression, classification & clustering with step-by-step guidance.
- Evaluate model accuracy & improve performance like a professional data scientist.
- Gain confidence to tackle real-world ML & Data Science challenges with ease.
- Make you ready to start a career in AI, Machine Learning & Data Science—today’s most exciting and in-demand skills.
Requirements
- Python Programming Concepts (No need to be Software Engineer level.)
- Some math knowledge (calculus & linear algebra, but no PhD required!)
- Hunger for knowledge, snacks for hunger.
Who This Course is For
- Anyone with curiosity to learn Machine Learning concepts
Your Instructor
Abhiram Shetty
Instructor at Udemy
4.6 Instructor Rating
70 Reviews
4,725 Students
2 Courses
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