Machine Learning & AI

The Machine Learning course at Netmax Technologies equips students with the ability to program and deploy machine learning algorithms using Python. The course covers a variety of topics including supervised and unsupervised learning and neural networks, deep learning, and reinforcement learning.

Students will learn through case studies and projects that simulate real-world problems from industries such as finance, healthcare, and automotive so by the end of the course, participants will be proficient in using popular machine learning libraries like TensorFlow and Keras, and will have a portfolio of projects to showcase their expertise.

What Will You Learn:

• Python Programming and ML Libraries
• Model Evaluation, Deployment, and Optimization
• Reinforcement Learning and Decision-Making
• Data Preprocessing and Feature Engineering
• Ensemble Methods and Boosting Techniques
• Big Data Analytics and Scalable ML

Machine learning & AI Course Overview:

• Introduction To Python
• Overview – What is python?
• Evolution of python.
• IDE installation
• Variables Types
• Conditional Statements
• Arrays In Python
• List & Tuple
• OOPS
• Classes and Objects
• Exception Handling
• Module
• Introduction to Machine Learning and AI
• Fundamental Machine Learning Algorithms
• Neural Networks and Deep Learning
• Natural Language Processing (NLP)
• Database Connectivity
• Computer Vision
• Applications of ML and AI
• Ethics and Responsible AI
• Hands-on Projects and Case Studies