AI & Machine Learning Training
Artificial Intelligence (AI) is the simulation of human intelligence by machines. It enables computers to think, learn, and make decisions similar to humans. Machine Learning (ML) is a subset of AI that focuses on building systems that learn from data to make predictions or decisions without being explicitly programmed.
AI and Machine Learning Course Syllabus
- Artificial Intelligence Skills you will learn
- Fundamentals of Artificial Intelligence
- Machine Learning Techniques
- Applications of Machine Learning
- Artificial Intelligence vs Machine Learning vs Deep Learning
- Types of Machine Learning: Supervised, Unsupervised & Reinforcement Learning
- Supervised Learning & its Types
- Unsupervised Learning & its Types
- Deep Learning – Basics
- Python – Getting Systems Ready
- Python Basics
- Python Basic Data Types – int, float, string, complex
- Python Special Data Types – List, Tuple, Set, Dictionary
- Operators in Python
- if else Statement in Python
- Loops in Python – For Loop & While Loop
- Functions in Python
- Complete Numpy Tutorial for ML
- Complete Pandas Tutorial for ML
- Complete Matplotlib & Seaborn Tutorial for ML
- Where to collect Data & How to collect Data
- Importing Data through Kaggle API
- Data Standardization
- Linear Algebra
- Statistics
- Probability
- What is a Machine Learning Model
- How to select a model for training
- Model Optimization Techniques
- Logistic Regression – Theory & Math
- Support Vector Machines (SVM) – Theory & Math
- Decision Tree Classification – Theory & Math
- K-Nearest Neighbors – Theory & Basics
- Linear Regression – Theory & Basics
- Logistic Regression – Theory & Math
- Decision Tree Regression – Theory & Math
- K-Means Clustering – Theory & math
- Project 1: House Price Prediction with Python
- Project 2: Fake News Prediction with Python
- Project 3: Loan Status Prediction with Python
- Project 4: Face Recognition System
