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A Beginner's Guide to Machine Learning (in Python)

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A Beginner's Guide to Machine Learning (in Python)

A Beginner's Guide to Machine Learning (in Python), Learn supervised learning for structured data, and implement them using Python programming

Created by Dana Knight

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What Will I Learn?
  • Understand Machine Learning, Data Mining, Big Data, Data Science, and Data Analytics
  • Learn a little bit of coding in Python
  • Learn Support Vector Machine, Linear Regression, Logistic Regression, K-Nearest Neighbor, Decision Trees, and Neural Networks
  • Learn how to preprocess a dataset
  • Learn how to handle categorical features
  • Learn how to handle unbalanced datasets
  • Understand the different validation methods
  • Understand feature selection and dimensionality reduction
  • Understand hyperparameter optimization
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