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Machine Learning with NumPy

Overview

Skills Needed

Learn machine learning fundamentals with NumPy. Explore linear regression, classification, and clustering algorithms implemented with NumPy for basic machine learning tasks.

  • Basic knowledge of Python programming
  • Understanding of machine learning concepts

Outline

  • Introduction to Machine Learning with NumPy
  • Linear Regression Implementation
  • Logistic Regression for Classification
  • Decision Tree and Random Forest Algorithms
  • K-Means Clustering with NumPy
  • Dimensionality Reduction Techniques
  • Support Vector Machines (SVM) with NumPy
  • Neural Networks Basics with NumPy
  • Model Evaluation and Validation
  • Best Practices for Machine Learning with NumPy
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