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Yeaseen / ML_Pattern

Star 23

🔱 Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.

python template-matching numpy scikit-learn pocket basic-learning artificial-neural-networks scratch decision-tree-classifier multiclass-classification recommendation-algorithm perceptron-learning-algorithm binary-perceptron adaboost-learning reward-and-punishment multiclass-kersel als-algorithm
  • Updated May 9, 2019
  • Python

haimgoldfisher / DineNY-Recommentation-System

Star 0

This project is a web application for recommending restaurants using Google Maps data and AI-based recommendations. It allows users to view, rate, and review restaurants, and provides personalized recommendations based on user preferences and reviews.

machine-learning kafka big-data mongodb clustering sklearn pyspark flask-application recommendation-system unsupervised-learning fastapi als-algorithm
  • Updated Aug 21, 2024
  • Python

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