pbiecek/ema

Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

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IBM/predict-fraud-using-auto-ai 📦

Use AutoAI to detect fraud

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JeremDona/spatiotemporal_variable_separation

Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*

Language: Python - Size: 78.1 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 25 - Forks: 3

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

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SripadaLab/Predictive_Modeling_Reliability_HCP

Supporting code for https://www.biorxiv.org/content/10.1101/796714v4

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razuswe/softwareFaultPrediction

we proposed a software defect predictive development models using machine learning techniques that can enable the software to continue its projected task.

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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.

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daniel-hain/ML_course_maastricht

Machine Learning Introductory Course

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manjotms10/google-trends-analytics

Course Project for UCSD ECE143: Programming for Data Analytics

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bmoretz/MS-DataScience

Portfolio of course work for my Master's in Data Science.

Language: R - Size: 96 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 13

gmgeorg/pypress

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

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marchcarax/Portfolio-stats

Mix of good tools for portfolio analysis

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basiralab/RBGM

Recurrent Dynamic Graph Mapper using GNN

Language: Python - Size: 264 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

jiseongHAN/Predictive-Models-of-Fire-via-Deep-learning-Exploiting-Colorific-Variation

Reproduce Predictive Models of Fire via Deep learning Exploiting Colorific Variation (ICAIIC2019) with Pytorch

Language: Python - Size: 2.13 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1

Charly98cma/TFG-Final-Year-Project

Trabajo de Fin de Grado del Grado de Ingeniería Informática, realizado en la Escuela Técnica Superior de Ingeniería Informática de la Universidad Politécnica de Madrid.

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NeilCollinsMS/Paycheck-Protection-Program-Analysis

This project aims to analyze trends in the Paycheck Protection Program and to generate predictive models based on demographics to predict the likelihood of receiving a loan.

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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: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - 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: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

UncelSoogar/Dallas_Shelters

Statistical analysis of animal shelter intakes and outcomes from Dallas Animal Services, and a fullstack app for predicting animal outcomes based on intake variables.

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basiralab/FLAT-Net

A few-shot learning approach to forecasting the evolution of the brain connectome.

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shahkesh/Time-Series-Prediction

Implementation of timeseries predictive models with public transport data.

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faisal-irzal/titanic_survival_pred

This repo guides you to to build predictive models of Titanic survival, including data-viz & pre-processing, feature analysis, building predictive models and performance evaluation.

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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.

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NYXFLOWER/DrugDiscovery

An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)

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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.

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shfara1/congenial-octo-giggle

Size: 3.91 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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.

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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.

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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: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sebagodoy1/Project_E-commerce-ML

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

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deepankarvarma/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: 19.5 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

michaelpanorios/timeseries-analysis-and-forecasting

Timeseries data analysis and forecasting using Python

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