50 Python Exercises Machine Learning & Neural Networks

50 Python Exercises Machine Learning & Neural Networks: A Practical Guide - NumPy, Pandas, Scikit-learn, Tensorflow, Keras, Textblob by Daniel Christofis

"50 Python Exercises: Machine Learning & Neural Networks," is a hands-on tutorial that will help you improve your skills one exercise at a time. We hope to bridge the gap between theory and real execution by offering a variety of challenges to both novices and seasoned professionals. Each task is designed to provide insights into the basic concepts, tools, and techniques that characterise the machine learning and neural network design environment.

9 Mini Projects

6-8 Questions each

Solutions included

10 Different Libraries

Mini-Project 1: Introduction to Data Exploration

Mini-Project 2: Classification

Mini-Project 3: Regression

Mini-Project 4: Data Visualization and Clustering

Mini-Project 5: Time Series Analysis

Mini-Project 6: Multi-Class Classification

Mini-Project 7: Data Exploration and Visualization

Mini-Project 8: Neural Network for Binary Classification

Mini-Project 9: Neural Network for Multiclass Classification

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