Shannon Universal Predictor
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Updated
Jun 11, 2018 - C++
Shannon Universal Predictor
A Simple Linear regression based Machine Learning approach to predict housing prices using JAVA RMI to enable effective client-server load balancing.
Uses a neural network to train and predict when to use a black or white font on top of random brackgournd colors.
Qt5 framework introductory examples source code
Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)
Use of Gradient Boosting Descision Trees for a Classification Problem
Predict the services used by telecom customers based on their demographic data with K-Nearest Neighbors algorithm. The dataset is present in this repo.
This is my graduation college project for the course of Artificial Intelligence.
Final project for Hackbright Academy, which produces randomly-generated bike routes
R package frost: prediction of minimum temperature for frost forecasting in agriculture
This is an academic competition created for the students of Iron Hack Data Analytics Bootcamp Part Time Edition April 2020.
A used car online selling company in the USA is in the process of updating their car price assessment method where they want to apply a data driven technique. The trial dataset consists of 25 variables describing 23531 car sales from 2019 to 2020. The management is very keen to apply predictive modelling for this task where the trail data set is…
Using patient data as a csv file, I have built machine learning models to predict heart disease. Predictions involve:
this project aims to be an easy and reusable way to use supervised machine learning techniques
A collection of cool R scripts for visualizing mutation operators found in XtalOpt, as well as plotting data for crystal structures.
Prediction modelling for a pet health insurance company called Trupanion. Originally written for a job application as a data scientist at Trupanion, now being modified to play around with clustering algorithms.
Stock/cryptocurrency price prediction demo using machine learning library scikit-learn and support vector regression
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