Overview
Course Description
Comprehensive practical course on data analysis, statistical modeling, machine learning algorithms, and real-world predictive analytics with Python.
What you'll learn
- Clean, manipulate and analyze large datasets with Pandas
- Build regression, classification and clustering models
- Deploy models as RESTful API services
Requirements
- Basic mathematics and logical thinking
- Python basics are helpful but covered
Course Content
4 Lectures 103 min
Module 2: Applied Machine Learning 2 lessons
-
Supervised Learning: Linear & Logistic Regression
24:20
-
Random Forests, XGBoost & Model Evaluation
31:10
About the Instructor
Data Scientist & Machine Learning Specialist
0 Courses
Data Scientist with extensive background in Python, Deep Learning, Pandas, and real-time AI automation pipelines.
Frequently Asked Questions
Are dataset files provided for practice?
Yes, 12+ real-world CSV datasets are included in resource attachments.
Reviews & Comments (7)
Pooja Nair
2 weeks agoWorth every single rupee! The practical real-world exercises make all the difference.
Kavita Joshi
2 weeks agoSolid foundation and good code examples throughout the course.
Rohan Deshmukh
1 month agoWorth every single rupee! The practical real-world exercises make all the difference.
Neha Verma
1 month agoBest course I have taken so far on this platform. Everything from the basics to advanced architecture is explained clearly.
Sneha Kapoor
1 month agoBest course I have taken so far on this platform. Everything from the basics to advanced architecture is explained clearly.
Rahul Sharma
1 month agoSuper clear explanations and very well-paced videos. Helped me crack my technical interview!
Manish Choudhary
1 month agoWorth every single rupee! The practical real-world exercises make all the difference.