What You'll Learn
- Introduction to Python Programming
- Variables, Data Types, Operators
- Conditional Statements, Loops
- Functions, Modules, and Packages
- File Handling in Python
- Error Handling and Exceptions
- Working with Libraries: NumPy, Pandas
- Data Visualization with Matplotlib and Seaborn
- Regular Expressions
- Data Analysis with Pandas
- Data Cleaning and Transformation
- Data Normalization and Standardization
- Object Oriented Programming (OOP) in Python
- Understanding Machine Learning Concepts
- Types of Machine Learning
- Machine Learning Workflow
- Linear Regression
- Logistic Regression
- Cross-Validation Techniques
- Basics of TensorFlow and Keras
- Model Evaluation Metrics
Requirements
- No prior programming experience is required
Who This Course is For
- Beginners interested in Python and machine learning
- Aspiring data scientists and AI enthusiasts
- Software developers looking to add machine learning skills
- Anyone wanting to build practical AI models with Python
Your Instructor
Muhammad Riaz Uddin
Web Developer | AI | Data Analysis | Web Design
3.0 Instructor Rating
7 Reviews
10,463 Students
31 Courses
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