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30 ResourcesFeatured Resources
Complete Python for Data Science Handbook
A comprehensive 200-page guide covering everything from Python basics to advanced data analysis techniques.
Machine Learning Algorithms Cheat Sheet
Visual guide to choosing the right ML algorithm for your problem, with pros, cons, and use cases.
Data Visualization Template Library
50+ ready-to-use visualization templates in Python, R, and Tableau for common chart types.
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SQL for Data Analysis Complete Guide
Master SQL with practical examples and real-world case studies.
Pandas Operations Cheat Sheet
Essential pandas operations for data manipulation and analysis.
Deep Learning Project Template
Complete project structure for deep learning projects with TensorFlow/PyTorch.
Customer Segmentation Dataset
Real e-commerce data for practicing clustering and segmentation techniques.
Statistics for Data Science Handbook
Essential statistical concepts explained with practical examples.
Git Commands for Data Scientists
Essential Git commands and workflows for data science projects.
Tools & Setup Guides
Jupyter Notebook Setup
Complete setup guide with essential extensions
Setup GuideAnaconda Environment Manager
Manage Python environments like a pro
ToolVS Code for Data Science
Optimal VS Code configuration for data work
Setup GuideDocker for ML Projects
Containerize your machine learning projects
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