AdArya125/Primer-to-Machine-Learning
'Primer to Machine Learning' is a comprehensive guide covering essential topics in machine learning, including statistics, data preprocessing, supervised and unsupervised learning, neural networks, deep learning, NLP, time series analysis, and reinforcement learning. Perfect for beginners and intermediates.
This is a structured guide to help you understand and implement machine learning and data science techniques. It takes you from foundational concepts like statistics and data cleaning to advanced topics such as neural networks and natural language processing. Aspiring data scientists, machine learning engineers, and analysts who want to build and deploy intelligent systems would use this guide.
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Use this if you are a beginner or intermediate learner looking for a comprehensive, self-paced curriculum to master machine learning and data science.
Not ideal if you are looking for a pre-built tool or software to solve a specific, immediate business problem without learning the underlying principles.
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Jupyter Notebook
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MIT
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Sep 01, 2024
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