Machine-Learning-Data-Science-and-AI-Engineering-with-Python

Section	Resource	Description
Chapter 1	Titanic - Your first Machine Learning model	Your first Machine Learning model - a classification model
Chapter 2	King County House Sales Prediction	Build a regression model with LinearRegression
Chapter 3	Customer Segmentation and Churn Prediction	Perform Customer Segmentation using K-Means and Predict Customers Churn
Chapter 4	Embeddings & FeatureHasher IEEE-CIS Fraud Detection	Embeddings in PyTorch and Feature Hasher IEEE-CIS Fraud Detection Solution to illustrate feature engineering
Chapter 5	Define a LTU with PyTorch Implement Perceptron in PyTorch Simple MLP in PyTorch House Prices Solution with PyTorch	Define AND & OR LTU gates Implement Perceptron from scratch in PyTorch Simple MLP in PyTorch A Regression Nodel for House Prices Solution with PyTorch
Chapter 6	Model W&B initialization	Model Weights & Biases initialization in PyTorch
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 14
Chapter 15
Chapter 16
Chapter 17