50 Python Exercises Machine Learning & Neural Networks

[Farid]

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

"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



✅ Contents of Download:
⭐️ 50 Python Exercises Machine Learning & Neural Networks.epub (2.78 MB)

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✅ 50 Python Exercises Machine Learning & Neural Networks (2.78 MB)

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