| Course Name | Course Fees | Time | Date | Enroll |
|---|---|---|---|---|
| Python in Machine Learning | 15000 INR | 7.30 – 9 PM(Mon,Wed,Fri) | April 8 | Enroll Now |
Course Description
This hands-on course will provide students with a strong foundation in using Python for machine learning tasks. Through lectures and coding exercises, students will learn Python programming and its powerful libraries like NumPy, Pandas, Matplotlib, and Scikit-learn for implementing machine learning algorithms. The course covers major techniques including regression, classification, clustering, dimensionality reduction, neural networks, natural language processing, and reinforcement learning. Students will build models for real-world applications such as image recognition, text analytics, and more.
Objectives:
- Gain proficiency in Python and key libraries like NumPy, Pandas, Scikit-learn.
- Implement machine learning techniques for regression, classification, clustering, neural networks, NLP.
- Build models for real-world applications using Python’s ML capabilities.
- Gain hands-on experience applying algorithms on datasets through coding exercises.
Prerequisites:
- Basic Python programming experience.
- Background in calculus, linear algebra, and statistics.
Target Audience:
- Programmers looking to leverage Python for machine learning tasks.
- Data scientists who want to enhance their Python skills.
- Anyone interested in applied machine learning and developing models in Python.
- The course is designed for students with basic Python skills and mathematics background. Through hands-on coding examples and assignments, students will master the Python ecosystem for machine learning and gain practical experience building ML models programmatically.
