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Deep Learning and Machine Learning Repository

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Machine Learning Algorithms and Techniques

This repository covers a wide range of machine learning algorithms and techniques, including:

  • Linear Regression
  • Random Forest
  • Decision Tree
  • Logistic Regression
  • Naive Bayes
  • Support Vector Machines (SVM)
  • Mean
  • K-Nearest Neighbors (KNN)
  • Gradient Boosting
  • aPriori
  • Reinforcement Learning
  • Artificial Neural Network (ANN)
  • Principal Component Analysis (PCA)
  • AdaBoost
  • Clustering Algorithms

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machine learning and deep learning projects

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