Implementation of Hidden Markov Model (HMM). IS Petnica summer camp project on computer science department. Soon to be library for c++
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Updated
Jul 29, 2017 - C++
Implementation of Hidden Markov Model (HMM). IS Petnica summer camp project on computer science department. Soon to be library for c++
Project developed using Data Mining, Machine Learning and Data Visualization techniques to extract information and make predictions based on positional data
Customer churn prediction using Deep Neural Network.
A machine learning project in Python to predict the 2020 Australian Open Winner
Deep Learning class projects from Kagle. All projects are individual projects conducted by me using pyhton (keras, tensor-flow, matplotlib and other libraries). Different Deep Neural Network (DNN) methods were used and results were compared based one efficiency and accuracy. Results and conclusions based on results were reported.
Here we predict the Indian GDP StateWise using Simple MLP Neural Network and Time Series Analysis
Understanding Trends in Football Transfers and trying to build a prediction model to predict the market value of players.
My first full on attempt at a supervised learning prediction model in my data science specialization course.
Predicting the day's high price depending on the day's open price of Google and Ripple cryptocurrency
This repository contains the ML task of The Sparks Foundation Data Science and Business Analytics Internship
Chicago COVID-19 Forecaster is a forecaster program that takes data from google search trends, Chicago street congestion data, and divvy bike data to formulate a forecast on the spread of COVID-19 in Chicago.
Prediction model : Predicts housing prices using a regression model.
This is a RotaVirus model developed to predict RotaVirus in children below the age of 5 through the wet and dry seasons
Predicting Wine Quality with Random Forest Algorithm
In this ML, I predict the price of houses and compare accuracy using multiple models such as random forest regressor, MLP regressor, linear regression, and XGBoost.
Esse repositório faz parte do trabalho de conclusão de curso "Aplicação de Algoritmos de Machine Learning para Apoio a Manutenção Preditiva" a ser apresentado como pré-requisito para conclusão do curso de graduação em engenharia elétrica na UFF.
A model to predict future sales of several shops
Predicting Wine Quality with Regression Model using R
Machine learning model implemented to accurately predict the housing prices in Boston suburbs.
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