Machine Leaning &Deep Learning Notebook

“Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence.”

Artificial Intelligence became one of the most prevalent topics in 2023. AI is here to stay thanks to its practical applications in many industries and in our daily life. That’s why you should prepare better for our technological future by reading top Artificial Intelligence books so in this repo I will try to summary one of the best books for beginners Handa-on Machine Learning with Scikit-Learn,Keras& TensorFlow based on My educational journey for AI and I will try make it very simple to understand

This book is divided into two parts

The fundemental of Machine Learning

-The Machine Learning Landscape

-End-to-End Machine Learening project

-Classification

-Training models

-Support Vector Machines

-Decision Trees

-Ensemble Learning and Random Forests

-Dimensionality Reduction

-Unsupervised Learning Techniques

-Neural Networks and Deep Learning

-Introduction to Arificial Neural Networks with Keras

-Training Deep Neural Networks

-Custom Models and Training with Tensorflow

-Loading and Preprocessing Data with Tensorflow

-Deep Computer Vision Using Convolution Neural Networks

-Processing Sequences Using RNNs &CNNs

-Natural Language Processing with RNNs and Attention

Representation Learning and Generative Learning Using Autoencoders and GANs

Reinforcement Learning

Training and Deployment Tensorflow models at scale

In this Repo you will find two files ML (part 1) & DL (part2) .I will give some resources to understant technical topics

! Good Luck :)