Introduction to Machine Learning for Begineers[Data-science]

Learn Data Science and Machine Learning with Python, covering libraries like Pandas and Matplotlib, through hands-on projects and quizzes

Course Material
Introduction Quiz
jupyter notebook installation
How Machine Learns? Quiz
pandas Quiz
data visualization QUIZ
Data Preprocessing theory Data Preprocessing code
Linear Regression theory Linear Regression code
KNN theory KNN code
Decision Tree Theory Decision Tree Code
Naive Bayes Theory Naive Bayes Code
Random Forest Theory Random Forest Code
project
Description

This course offers a complete, beginner-friendly guide to Data Science and Machine Learning using Python, covering essential tools like Pandas, NumPy, and Matplotlib through hands-on projects, real-world datasets, and quizzes. Taught by Ravi verma —a data scientist with over 3 years of experience and a published researcher in the International Journal IJSR—this course walks you through both supervised and unsupervised learning without requiring any prior knowledge of Python, statistics, or machine learning. You’ll learn by doing, using Jupyter Notebooks to build practical skills in clustering, classification, data visualization, and more. Whether you’re a student, aspiring data scientist, or analyst looking to upgrade your skill set, this course equips you with the confidence and knowledge to apply machine learning in real-world scenarios. Enroll now and take the next step in your AI journey with AIWebSoul.

 

 

Why AIWebSoul Students Love This Course

✅ Beginner-friendly—no prior experience needed
✅ Project-based learning using real-world data
✅ Clear, practical explanations of difficult concepts
✅ Learn by doing—write code, visualize data, build models
✅ Lifetime access to course materials and updates
✅ Full support—get your questions answered

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₹10,000.00₹7,000.00