GitHub topics: predictive-models

Repositories

royrenju333/congenial-octo-giggle

Congenial-octo-giggle is a playful tool designed to enhance team collaboration through fun, interactive features. It allows users to share quick updates and celebrate small wins in a lighthearted way, fostering a positive work environment.

Size: 4.88 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

AshishParulekar/DeepPlanner

🧠 Enhance decision-making with DeepPlanner, an AI-driven tool that optimizes project planning and resource allocation for efficient outcomes.

Size: 1.95 KB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

JuanK0/bn-alpha

🚀 Monitor new listings on Aster and Binance Alpha with simplified event parsing; enhance your trading strategy easily.

Size: 81.1 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

mkp151203/Multiple_Disease_Prediction_Webapp

A web-based application that predicts multiple diseases including diabetes, heart disease, stroke, chronic kidney disease, and liver disease using machine learning models. The system leverages optimized ML algorithms to provide accurate predictions and offers a user-friendly interface for input and result visualization.

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

dhnlc/vn-stock-ai-hedgefund

📊 Orchestrate multi-agent trading decisions for Vietnamese equities, combining data analysis, insights, and risk-aware planning for optimal investments.

Language: Python - Size: 112 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

francescopiocirillo/regression-model-comparison-R

This project explores linear regression model selection in R using Best Subset Selection (BIC), stepwise methods with cross-validation, Ridge, and Lasso. Includes MSE evaluation on test data, multicollinearity analysis (VIF), and correlation insights for variable selection.

Language: R - Size: 930 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

laurobmb/ml-diabetes-classifier

Este artigo documenta a jornada completa de criação de um projeto de Machine Learning, do início ao fim. O objetivo é desenvolver um modelo capaz de classificar pacientes em três categorias de risco de diabetes: Não Diabético, Pré-Diabético e Diabético

Language: Python - Size: 4.12 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Atharv322/Boston-House-Price-Prediction

Predict Boston housing prices using a XGBoost model trained on the Boston Housing dataset. Built with Python, sklearn, and Streamlit.

Language: Jupyter Notebook - Size: 459 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Kishan-Sinha/End-to-End_Data_Analysis

The displayed project is a Gen AI powered data analysis workflow starting from raw data handling to delivering PPT based recommendations to the clients based on the insights drawn from that data. At every stage of the process Gen AI was used to increase operational efficiency.

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

daniel-hain/ML_course_maastricht

Machine Learning Introductory Course

Language: HTML - Size: 46.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 7 - Forks: 4

pbiecek/ema

Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

Language: Jupyter Notebook - Size: 908 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 187 - Forks: 39

shfara1/congenial-octo-giggle

Size: 3.91 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

gmgeorg/pypress

PRESS: Predictive State Smoothing in Python (tf.keras)

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

IBM/predict-fraud-using-auto-ai 📦

Use AutoAI to detect fraud

Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 33 - Forks: 80

ManiFaridi/enhancing-tsf-lstm-gru-tft

This is a complementary repository that hosts the codes mentioned in my NOT YET published paper to IEEE TNNLS.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Zernach/Airline-Price-Predictions

Plotly Dash HTML Python Flask site for user to interact with a trained machine learning model to predict the round-trip cost of flights — based on 9 million 2018 Domestic Flight Prices in the United States.

Language: Jupyter Notebook - Size: 315 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 1

shimonyagrawal/NYC-Real-Estate-Analysis

This repository contains coursework for the Business Analytics Foundations course in the MS Applied Business Analytics program at Boston University.

Size: 484 KB - Last synced at: 10 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

michaelpanorios/timeseries-analysis-and-forecasting

Timeseries data analysis and forecasting using Python

Language: Python - Size: 10.4 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ornscar/diabetes_gestacional

Application of predictive models on a real data set of the obstetric medicine field and methods of interpretability on the previously fitted XGBoost model.

Language: R - Size: 8.15 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sapphire-Oshodi/HousePricePredictionProject

This is a machine learning project that predicts the value of a house based on its feature inputs.

Language: Python - Size: 983 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

marchcarax/Portfolio-stats

Mix of good tools for portfolio analysis

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

lucylow/Covid_Control

Machine learning to predict future number Covid19 Daily Cases (7-day moving average). Long Short Term Memory (LSTM) Predictor and Reinforcement Learning (RL) Prescription with Oxford Dataset

Language: Jupyter Notebook - Size: 18.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 2

Aitzaz-Saleem/Economic-Forecasting-model-for-Agriculture-using-genetic-algorithm-and-random-forest-algorithm

Our Economic Forecasting Model leverages Genetic Algorithms and Random Forests to provide farmers, policymakers, and businesses with cutting-edge insights for informed, profitable decisions in the ever-changing world of agriculture.

Language: Python - Size: 4.18 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

sebagodoy1/Project_E-commerce-ML

Uses machine learning to analyze e-commerce data, uncover insights, and offer actionable suggestions

Language: Jupyter Notebook - Size: 594 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

manjotms10/google-trends-analytics

Course Project for UCSD ECE143: Programming for Data Analytics

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 0

Aklilu-Mandefro/Mobile-Phone-Price-Prediction-Using-Regression

This repository contains code for predicting the price of mobile phones using regression models. It includes the implementation of various regression techniques such as Random Forest Regression, Decision Tree Regressor, Linear Regression, and Lasso Regression.

Language: Python - Size: 17.6 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0