Valkov V. Hacker's Guide to Machine Learning with Python

2nd Edition. — Leanpub, 2020. — 272 p.This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. The skills taught in this book will lay the foundation for you to advance your journey to Machine Learning Mastery!
Deep Learning has revolutionized the Machine Learning field. Python tools like Scikit-Learn, Pandas, TensorFlow, and Keras allows you to develop state-of-the-art applications powered by Machine Learning.
This book is written for you, the Machine Learning practitioner. Every chapter describes a problem and a solution that you'll encounter in your Machine Learning Journey.TensorFlow 2 and Keras - Quick Start Guide
Build Your First Neural Network
End to End Machine Learning Project
Fundamental Machine Learning Algorithms
Data Preprocessing
Handling Imbalanced Datasets
Fixing Underfitting and Overfitting Models
Hyperparameter Tuning
Heart Disease Prediction
Time Series Forecasting
Cryptocurrency price prediction using LSTMs
Demand Prediction for Multivariate Time Series with LSTMs
Time Series Classification for Human Activity Recognition with LSTMs in Keras
Time Series Anomaly Detection with LSTM Autoencoders using Keras in Python
Object Detection
Image Data Augmentation
Sentiment Analysis
Intent Recognition with BERT