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
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
Projects done in the AI learning algorithm class @ UCSD
Codes and images used for blog post at https://www.mdelcueto.com/blog/example-nearest-neighbors-regression/
Note to self on how to find nearest neighbors in 2D with Rust.
This repository contain both Collaborative based movie recommendation system as well as Content based movie recommendation system
Machine learning prediction of customers suspected of laundering money
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
Machine Learning (Supervised Learning)
IDS 575 - Machine Learning for Business Analytics
A recommendation system that uses Resnet50,Nearest Neighbors and Streamlit.
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