মেশিন লার্নিং রোডম্যাপ

Comprehensive Machine Learning Roadmap

Module 1: Introduction to Machine Learning

Understand the basics of machine learning, including its applications and categories.

What is Machine Learning? Supervised vs Unsupervised Learning

Module 2: Python for Machine Learning

Learn essential Python libraries like Numpy, Pandas, and Matplotlib.

Numpy Tutorial Pandas Full Course Data Visualization

Module 3: Data Preprocessing and Analysis

Master data cleaning, feature scaling, and encoding techniques.

Data Preprocessing Feature Scaling

Module 4: Supervised Learning Algorithms

Explore foundational algorithms like Linear and Logistic Regression.

Linear Regression Logistic Regression Decision Trees Random Forests

Module 5: Unsupervised Learning

Dive into clustering techniques and dimensionality reduction.

K-Means Clustering Principal Component Analysis Hierarchical Clustering

Module 6: Deep Learning Basics

Learn Neural Networks and frameworks like TensorFlow and PyTorch.

Introduction to Neural Networks Building with TensorFlow PyTorch Basics

Module 7: Advanced Topics in Machine Learning

Explore advanced topics like Reinforcement Learning and NLP.

Reinforcement Learning Introduction to NLP Time-Series Forecasting

Module 8: Capstone Project

Apply your knowledge to a real-world project.

Starting a Project Deploying Models