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50 Python Exercises Machine Learning & Neural Networks: A Practical Guide - NumPy, Pandas, Scikit-learn, Tensorflow, Keras, Textblob by Daniel Christofis
English | 2023 | ISBN: N/A | ASIN: B0CFN6MSSJ | 55 pages | EPUB | 2.78 Mb
"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 Projects6-8 Questions eachSolutions included10 Different LibrariesMini-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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