Repository to use Locality Sensitive Hashing variants to build a classifier
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Updated
Dec 20, 2019 - C++
Repository to use Locality Sensitive Hashing variants to build a classifier
Travelling Salesman Solution w/ Nearest Neighbor Heuristic
Predicting market stock prices using various Machine Learning models. Data trained and tested up until 2017. Data found of Kaggle.
Machine Learning (Supervised Learning)
IDS 575 - Machine Learning for Business Analytics
A recommendation system that uses Resnet50,Nearest Neighbors and Streamlit.
This repository contains jupyter notebooks providing an implementation of basic Machine Learning models for regression and classification.
Data Analysis and Modelling on IPL Data 2008-2017
Versão final do recommender desenvolvido no DEX4 da DNC
Travel Salesman Problem with Brute Forca, Nearest Neighbour, Minimum Spanning Tree
Movie Recommender API: FastAPI-based backend for movie recommendations using collaborative filtering.
Nearest neighbor search in two dimension
This repo contains projects and assignments from my Data Science + Machine learning courses.
In this repository we implement algorithms such as: KNNs, Decision Trees, Naive Bayes, Gaussian Naive Bayes, Regressions and their variations from scratch without using any in-built libraries.
Comprehensive movie data analysis using sentiment analysis, earnings prediction, and a robust movie recommender. Utilizes advanced NLP and machine learning techniques.
Cell approximate nearest neighbors (ANN)
The backend of a chatbot system was developed using NLP techniques to help students to present their concerns about university works & get solutions in real time
Implemented KNN algorithm for Wisconsin Breast Cancer Dataset to find out the best neighbor count and predicting the chances of the breast cancer based on the results of current data
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