GitHub topics: rmse-score

Repositories

Nirva-Patel/Time-Series-Forecasting

This project aims to forecast gold prices using time series techniques. It includes data preprocessing, model training, and evaluation of methods like ARIMA, SARIMA, LSTM, etc. to identify the best-performing model. The repository contains code, data workflows, and model comparisons.

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surendiran-20cl/Kaggle-April-Playground-Series

Predicting podcast episode listening time using machine learning for Kaggle's April 2025 Playground Series. Built models like Random Forest, LightGBM, and ExtraTrees with feature engineering and evaluation. Achieved strong validation RMSE performance.

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davutbayik/bus-usage-forecasting

Time Series Forecasting - Bus Usage Prediction

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Ad-Chekk/ML_models

This repo includes testing of various machine learning models like Prophet model and evaluating their performance using various metrics like RMSE etc

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KrishArul26/Air-Quality-Index-prediction_with_deployment

India is one of the countries with the highest air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and the India-Bangalore region. Also, the data was collected through web scraping with the help of Beautiful Soup.

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tanishq-ctrl/House-price-prediction-and-visualization

This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

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Radhikareddy-chintareddy/Exploratory-Data-Analysis-and-Regression-for-Property-Pricing

This project analyzes property listing data to uncover trends and predict property prices using regression modeling. Key steps include exploratory data analysis (EDA), data cleaning, multicollinearity checks, and model evaluation using metrics like RMSE.

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rooshmica/Concrete-Compressive-Strength-Prediction

Concrete Dataset for Regression Model training

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jrmui/jjj

first ever hackathon!! @Nvidia @ODSC

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kbhalajiyadav/lipophilicity_model

This project trains a Morgan Fingerprint model to predict lipophilicity.

Language: Python - Size: 87.9 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

AshwiniDPrabhu/Stock-Prediction-Using-Twitter-Sentiment-Analysis

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satya04m/Recommender-System

The Recommender-System project is a machine learning-based application designed to predict user preferences and provide personalized recommendations. It leverages various algorithms, such as collaborative filtering and content-based filtering, to analyze user data and suggest relevant items. The project also includes a CI/CD pipeline for automating

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RachitaGurudev/ARIMA

The data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.

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ArchismwanChatterjee/Football-Match-Prediction

Football Match Predictor for top leagues

Language: Python - Size: 3.07 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1

tgchacko/Walmart-Sales-Forecasting

Predicting Walmart Sales and Performing Exploratory Data Analysis

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jahnvisikligar/Masters-Thesis

Improved the accuracy of Bitcoin stock price predictions on ARIMA model by reducing the seasonality factor. Achieved RMSE value of 68.99 after implementation of SARIMAX model to reduce seasonality.

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Foram224/Solar_generation

Predict solar generation data

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Honey28Git/Time-Series-Forecasting

Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.

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ShaikRiyazSandy/Simple-Linear-Regression

Simple Linear Regression

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bhanu-kanamarlapudi/Covid_19-Michigan

Michigan Covid-19 prediction

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newsteps8/Air-Pollution-Forecast-Based-On-DL-and-ML-Models

This repository has been created for air pollution forecast in the coming hours in Beijing.

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ajayarunachalam/RegressorMetricGraphPlot

Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (mape), etc.

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ZhenyuWangg/Song-Scoring-Predictive-Modeling---Predictive-Analysis-Competition---Columbia-University-

Giving a song dataset, thorough exploratory analysis, diverse model construction, and innovative feature engineering to developing predictive models for song scoring.

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Kennethfargose/UV-matrix-decompostion-with-kfold

UV matrix decompostion using movielens dataset

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pranshu1921/Netflix-Movie-Recommendation-System

Recommendation system to predict movie rating given by user on Netflix.

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dell-datascience/mlzoomcamp

This repository is dedicated to my participation in Datatalks Mlzoomcamp

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kk289/Stock_Price_Prediction

Stock Price Prediction of APPLE Using Python

Language: Python - Size: 1.03 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

acelyavul/global_al_hub_machine_learning_bootcamp

Global Al Hub - Aygaz Machine Learning

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Abdullahi-a-hussein/Data-with-R

Contains Data related content with R

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GunturWibawa/SweetLiftSalesAnalysis

Sweet Lift Taxi collected airport order data. As a Data Scientist, I developed a model to predict taxi orders for the next hour. The goal is to draw more drivers at peak times, targeting an RMSE under 48 on the test set.

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saima8/Regresspy

regresspy for simple regressions

Language: Python - Size: 593 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

AbhishekBanerjee499/Anomaly_Detection_PSO_MATLAB

Detecting anomaly in SMS sending behaviour of a person by Particle Swarm Optimization

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aldimeolaalfarisy/Food-Delivery-Time-Prediction

Regression predictive analytics to predict food delivery time from restaurant to delivery point

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dinto/Movie-Recommendation-System-via-Markovian-Factorization-of-Matrix-Process

Movie recommendation using markov process

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hariprasath-v/AV-job-a-thon-november-2022

Build a machine learning/deep learning approach to forecast the total energy demand on an hourly basis for the next 3 years based on past trends.

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manasik29/Assignment_Prediction_Turbine_Energy_Yield

Predicting turbine energy yield (TEY) using ambient variables as features.

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manasik29/Assignment_Forecasting_Airline_Passengers_Seats

Forecasting_Airline_Passengers_Seats

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manasik29/Forecasting_Walmart_Footsteps

Forecasting footsteps in Walmart from previous years available timeseries data and predict on new years data.

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Parashar7/Performance-Evaluation-of-LSTM-and-RNN-in-Stock-Price-Prediction-of-NASDAQ-Index

This article uses 2 important models for the predictions and comparisons. These are Long Short-Term Memory and Recurrent Neural Network measures. The result of LSTM and RNN are compared to check the most optimal model for stock forecasting. For this, various metrics and visualization are considered using different independent variables for both the models. We are going to estimate this using different plot criteria, RMSE value, and R2 score of different number of independent variables for both LSTM and RNN.

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rmse-score 45 numpy 11 python 10 pandas 9 sklearn 8 matplotlib 8 regression 8 machine-learning 7 linear-regression 6 seaborn 6 time-series 5 exploratory-data-analysis 5 forecasting 5 xgboost 5 random-forest 4 prediction 4 rmse 4 mae 4 deep-learning 4 sarimax 4 regression-analysis 3 pandas-library 3 scikit-learn 3 mse 3 statsmodels 3 stock-price-prediction 3 predictive-modeling 3 ordinary-least-squares 3 time-series-forecasting 3 matplotlib-pyplot 3 time-series-analysis 3 sklearn-library 3 pandas-dataframe 2 tensorflow 2 movie-recommendation 2 decomposition 2 arima-forecasting 2 residuals 2 neural-network 2 forecasting-models 2 forecasting-time-series 2 support-vector-regression 2 seasonal-forecast 2 timeseries-data 2 simple-linear-regression 2 machine-learning-algorithms 2 acf-pacf 2 aic 2 stock-market 2 bic 2 scipy 2 data-transformation 2 supervised-learning 2 f-statistics 2 likelihood 2 python3 2 lstm-model 2 mape 2 log-transformation 2 arima 2 ols-regression 2 moving-average 2 lightgbm-regressor 2 hyperparameter-tuning 2 kaggle-competition 2 arima-model 2 lightgbm 2 xgboost-algorithm 2 modeling 2 prophet-model 2 lstm-neural-networks 2 data-visualization 2 lasso-regression 1 kfold-cross-validation 1 kernel-ridge-regression 1 surprise 1 house-price-prediction 1 regularized-linear-regression 1 accuracy-score 1 explanatory-data-analysis 1 knn-algorithm 1 svm-model 1 visualization 1 continuous-variable 1 model-predictions 1 randomizedsearchcv 1 gradient-descent 1 gradient-boosting-regression 1 datacleaning 1 decision-trees 1 feature-extraction 1 featureselection 1 nlp 1 rstudio 1 matrix-decompositions 1 xgbregressor 1 movielens-dataset 1 cinematch 1 skewed-data 1 scaling 1