Group Project using Supervised Learning and Neural Network Models
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Updated
Jun 10, 2024 - Jupyter Notebook
Group Project using Supervised Learning and Neural Network Models
Home battery prediction and charging automation for Home Assistant, supporting many inverter types
ML model to predict whether person has Parkinson's Disease or Not
Credit Card Detection & Fake News
This project aims to predict heart failure outcomes by applying statistical learning algorithms. The goal is to improve the prediction accuracy through the SuperLearner algorithm.
FBP项目全称FootBallPrediction,历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习,不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果(包含胜和不胜)。机器学习用的是自己建立的“三木板模型”算法,已在国家期刊发表论文并被万方数据库收录,详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人,附件为群讨论截图,并且每天均有部分人根据预测结果参考投注竞彩,参考的人都获得了相应的收益。 现在想通过认识更多的有识之士,一起探索如何将项目做大做强,找到合伙人,实现共赢。希望感兴趣的同仁联系本人,微信号acredjb。公众号AI金胆(或AI-FBP),每天都有程序预测的足球比赛。程序优势请看Advantages和README文…
This repo contains various Regression Models
Extended Joint Models for Longitudinal and Survival Data
Student performance predicting along with gender, race/ethnicity, parent level of education, lunch, test preparation course status, and past reading & math scores
This repository contains all the assignments and related files for excelR data science and machine learning course.
Laptop Price Prediction
Machine Learning | Deep Learning
FES is the last version of the FES (Finite Element Solution) tide model.
🧰 A package to help create and deploy Translator Reasoner APIs (TRAPI) from any prediction model exposed as a regular python function.
Weather-Driven Renewable Energy Analysis
A Streamlit application for predicting handwritten digits using a trained machine learning model. This project includes the necessary code to run the Streamlit app and train the model using a Jupyter notebook.
This project uses the Multinomial Naive Bayes classifier to enhance movie genre classification based on metadata such as descriptions and ratings. Utilizing a dataset from Kaggle, it aims to improve content recommendation systems through accurate genre prediction.
Se realiza un Análisis de Discriminate a la base de datos SP500 que contiene el porcentaje de retorno de este índice, se realiza un modelo de predicción sobre el porcentaje de retorno.
Se realiza una serie de tiempo de acciones de CEMEX 2018-2019 con el objetivo de predecir su valor futuro y de esta forma conocer si es viable incluir dicha acción en un portafolio de inversión.
This project, created during a UNSW work placement with Ellipsis, predicts sales lift for merchants using statistical and machine learning models. It includes data preparation, modeling, and visualization in R, leveraging techniques like OLS, Ridge, Lasso, Random Forest, and Neural Networks.
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