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About Lab Manual
This document outlines a machine learning fundamentals lab manual containing 30 labs across 7 parts that cover various machine learning topics. Part 1 introduces Python, Jupyter Notebooks, and scikit-learn. Labs in Part 1 also cover supervised learning algorithms like linear regression, logistic regression, decision trees, and SVMs. Parts 2-5 cover additional algorithms for unsupervised learning, model evaluation, time series analysis, neural networks, and NLP. The final part introduces reinforcement learning. Each lab has a set of objectives and provides code examples to explain key concepts.
Detailed Information
| Author: | ['aleesakhan28'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 100 |
| Language: | English |
| Format: | |
| Price: | FREE |
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