https://github.com/viveckh/lilhomie

A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

data-engineering eda housing-price-analysis housing-price-prediction machine-learning machine-learning-projects predictions random-forest-regressor scrapy-crawler spiders trulia web-crawler

Last synced: 09 Sep 2025

https://github.com/yaricom/timeserieslearning

The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.

adagrad adam-optimizer adamax deep-learning deep-neural-networks leaky-relu pca-analysis random-forest-regressor recurrent-neural-networks rmsprop rnn time-series

Last synced: 05 Apr 2025

https://github.com/mpds-io/mpds-ml-labs

This is the proof of concept, how a relatively unsophisticated statistical model trained on the large MPDS dataset predicts physical properties from the only crystalline structure (POSCAR or CIF).

ab-initio cif crystal-structure crystallography machine-learning materials-informatics materials-science mpds-api mpds-platform physical-properties poscar random-forest-regressor vasp

Last synced: 22 Jan 2026

https://github.com/csfelix/sales-prediction

🌱 Predicting Number of Sales per Product 🌱

data-science datascience gnu lstm matplotlib numpy pandas python random-forest-regressor scikit-learn seaborn sklearn xgboost

Last synced: 26 Jun 2025

https://github.com/csfelix/housing-price-competition

🌱 Predicting Ames House Prices 🌱

data-science datascience gnu lstm matplotlib numpy pandas python random-forest-regressor scikit-learn seaborn sklearn xgboost

Last synced: 05 Mar 2026

https://github.com/dngvmnh/revolving_credit_behavior_modeling

The Revolving Credit Behavior Modeling project analyzes revolving credit to facilitate flexible access to funds within a credit limit, assisting financial institutions in setting accurate pricing strategies by addressing risk factors like inflation and interest rates.

credit-contracts financial-flexibility interest-rate-risks model-evaluation predictive-modeling random-forest-regressor revolving-credit simulation time-value-of-money withdrawal-patterns

Last synced: 02 Apr 2025

https://github.com/harshita2234/potato-prices-prediction

Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.

csv-files data-cleaning-and-preprocessing data-mining-python k-nearest-neighbours knn long-short-term-memory lstm machine-learning-algorithms predictive-modeling python3 random-forest-regression random-forest-regressor

Last synced: 08 Jul 2026

https://github.com/armanx200/bitcoin_price_prediction

📈 Bitcoin Price Prediction using Random Forest Regressor 🧠

ai arman-kianian artificial-intelligence machine-learning machine-learning-algorithms machinelearning python random-forest random-forest-regressor

Last synced: 05 Oct 2025

https://github.com/gursv/autoworth

Used Car Price Prediction (India)

data-analysis data-analysis-python data-analytics data-cleaning data-preprocessing data-science-projects eda fine-tuning gridsearchcv machine-learning matplotlib-pyplot pandas python3 random-forest-regressor scikit-learn seaborn

Last synced: 05 May 2026

https://github.com/nemeslaszlo/sale-price-of-bulldozers

The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)

matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn

Last synced: 10 Apr 2026

https://github.com/vidhi1290/essay-quality-prediction-keystroke-analysis-with-randomforest

Explore the Essay Quality Prediction project—a machine learning model that predicts essay quality based on typing behaviors. Leveraging a Random Forest Regressor, this tool provides insights into writing processes. Connect with me on LinkedIn and find more projects on GitHub. Happy coding! 📝✨

essay-quality-prediction kaggle-competition machine-learning mean-square-error nlp-machine-learning numpy pandas random-forest random-forest-regressor scikitlearn-machine-learning seaborn sklearn

Last synced: 03 May 2026

https://github.com/sarthak-0-sach/laptop-price-predictor

Just as the name suggests, this project's solo goal is to simplify finding laptops in a world where there are ton of companies offering variety of features and specifications at numerous price differences. This project aims to be the best analysis tool of what should be the price of a standard laptop with desired specifications. Follow for more😇✨

advanced-python beginner-friendly-python-project gradient-boosting knn-algorithm laptop-price-prediction random-forest-regressor svm-classifier xgboost-model

Last synced: 02 Apr 2025

https://github.com/a-solo/btc_usdt_trading_model

Algorithmic Trading Model Development for BTC/USDT Crypto Market. Crafting models that outperform benchmarks, balancing returns and risk management in the dynamic BTC/USDT market.

algorithmic-trading back backtesting-trading-strategies btc crypto-market machine-learning-algorithms python random-forest-regressor risk-management strategy

Last synced: 27 Sep 2025

https://github.com/gursv/stocksage

Predict next day's close price for a stock like NSEI, NYA, HSI, IXIC, TWII, etc...!

data-analysis data-preprocessing data-science gridsearchcv machine-learning python3 random-forest-regressor stock-data stock-price-prediction streamlit

Last synced: 18 Apr 2026

https://github.com/grascya/strength-of-concrete-prediction

Predict the compressive strength of concrete with maximum accuracy and lowest error (evaluation metrics MAE) , for various quantities of constituent components as the input

concrete exploratory-data-analysis predictive-modeling random-forest-regressor regression-models

Last synced: 14 Jul 2025

https://github.com/akarshankapoor7/dynamic_pricing_model_in-python

Dynamic Ride Pricing App This is a Streamlit web application designed to implement a dynamic pricing model for ride-sharing platforms.

data-science dynamic-pricing plotly-python random-forest-regressor streamlit-application supply-chain

Last synced: 03 Nov 2025

https://github.com/santiagoenriquega/custom_ensemble_learning

This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.

numpy python python3 random-forest random-forest-classifier random-forest-regressor

Last synced: 15 May 2026

https://github.com/furk4nbulut/laptop-price-prediction

This project utilizes machine learning techniques to predict laptop prices. By employing a RandomForestRegressor model, it forecasts prices based on laptop features.

random-forest-regressor

Last synced: 16 Jul 2025

https://github.com/mehrab-kalantari/advanced-house-price-prediction

Predicting house prices using advanced regression algorithms

catboost-regressor random-forest-regressor support-vector-regressor svr xgboost-regressor

Last synced: 24 Apr 2026

https://github.com/sawaira-iqbal/used-cars-price-prediction-ml-project

🚗 The Used Car Price Prediction project uses advanced ML models like Random Forest 🌲, Decision Tree 🌳, XGBoost 🚀, and SVR 🔍 to predict used car prices, enhancing buying and selling decisions.

data-visualization decision-tree machine-learning price-prediction python random-forest-regressor support-vector-machine xgboost

Last synced: 28 Apr 2026

https://github.com/bhawnamehbubani/food-delivery-time-prediction-model

A cutting-edge food delivery time prediction model leveraging Random Forest Regressor, Streamlit, OpenCage API, GeoPy, and advanced feature engineering techniques to optimize delivery operations and customer satisfaction.

feature-engineering geopy opencage-api random-forest-regressor streamlit

Last synced: 08 May 2026

https://github.com/akash1070/year-of-marriage-prediction-model-on-aws

year of marriage prediction model on AWS

aws aws-ec2 pickle random-forest-regressor train-test-split ubantu

Last synced: 11 May 2026

https://github.com/taleblou/randomforestregressor-price-prediction

This repository implements a Random Forest Regressor for price prediction in financial markets, including stocks, currencies, and cryptocurrencies. It uses gradient boosting techniques to improve the model's accuracy and robustness for forecasting financial data across different datasets.

cryptocurrency-prediction financial-predictions price-forecasting random-forest-regressor stock-market-prediction

Last synced: 03 Apr 2025

https://github.com/hamza2334-tech/covid-mlp

🧠 Predict COVID-19 mortality rates using a Multilayer Perceptron model, built from CDC data, without high-level frameworks.

adam-optimizer binary-crossentropy catboostregressor cdc-dataset classification dropout early-stopping fillna keras l1-regularization machine-learning outliers pycaret random-forest-regressor storytelling student-project tensorboard-visualization university-at-buffalo

Last synced: 13 May 2026

https://github.com/yaricom/robotvisiontracker

An algorithm that can detect and track the object of interest (OOI) in video frames.

histogram-of-oriented-gradients local-binary-patterns ooi random-forest random-forest-regressor robot-vision-tracker video-processing

Last synced: 09 Apr 2025

https://github.com/snigdho8869/regression-analysis-projects

Repository showcasing a collection of diverse regression analysis projects including salary prediction and more.

deep-learning deep-learning-regression deeplearning gradient-boosting-regressor keras linear-regression machine-learning machine-learning-algorithms random-forest-regression random-forest-regressor regression regression-algorithms regression-analysis regression-trees scikit-learn tensorflow voting-regressor xgboost-regression

Last synced: 05 May 2026

https://github.com/karan-malik/advancedregression

Using Various Regression Algorithms to Predict House Sales

adaboost-algorithm decision-tree-regression decision-trees gradient-boosting-regressor house-price-prediction linear-regression machine-learning machine-learning-algorithms python python3 random-forest-classifier random-forest-regressor regression regression-algorithms regression-models scikit-learn scikitlearn-machine-learning support-vector-regression svm

Last synced: 24 Apr 2026

https://github.com/cyprianfusi/kaggle_bulldozer_price_prediction

Validation RMSLE obtained: 0.21163 which is less than the RMSLE score (0.22909) that won the Kaggle Competition.

bulldozer-price-prediction feature-engineering feature-selection pca random-forest-regressor rmsle

Last synced: 20 May 2026

https://github.com/maheera421/car-price-prediction-model

A machine learning project that predicts car prices based on a dataset.

column-transformer cross-validation-score feature-encoding feature-engineering imputation mean-absolute-error mean-squared-error one-hot-encoding r2-score random-forest-regressor simple-imputer

Last synced: 14 Mar 2025

https://github.com/crispengari/gpa-genie

📚 🧠GPA Genie is a lightweight mobile application designed for students to track and manage their weekly CGPA (Cumulative Grade Point Average). Whether you're pushing for that 4.0 or trying to monitor consistent academic progress, GPA Genie is your study companion.

cgpa expo fastapi machine-learning python random-forest-regressor react-native typescript

Last synced: 08 Apr 2026

https://github.com/har8899/regressions

Learning about Machine Learning Regression models and how they work

decision-tree-regression multiple-linear-regression polynomial-regression random-forest-regressor simple-linear-regression svr-regression-prediction

Last synced: 10 Aug 2025

https://github.com/mehrab-kalantari/book-price-prediction

Book price dataset analysis and modeling

bivariate-analysis eda feature-engineering feature-extraction feature-importance nlp one-hot-encoding ordinal-encoding outlier-detection random-forest-regressor scaling univariate-analysis

Last synced: 21 May 2026

https://github.com/abideen-olawuwo/bulldozer-prediction

Predicting the Future Price of Bulldozer

machine-learning matplotlib numpy pandas python random-forest-regressor scikit-learn

Last synced: 11 Apr 2026

https://github.com/rachelnk/simple-machine-learning-model

A simple machine learning model built using scikit-learn library.

data-science linear-regression machine-learning-algorithms machine-learning-models matplotlib numpy pandas python random-forest random-forest-regressor scikit-learn

Last synced: 11 Apr 2026

https://github.com/mariiasam/rent-in-brazil

elasticnet-regression joblib lasso-regression linear-regression numpy pandas random-forest-regressor ridge-regression scikit-learn streamlit svr-regression-prediction

Last synced: 12 Apr 2026

https://github.com/avd1729/house-price-prediction

House Price Prediction using RandomForestRegressor

cross-validation grid-search house-price-prediction machine-learning pipeline random-forest-regressor

Last synced: 17 Jan 2026

https://github.com/maheera421/bulldozer-price-prediction-model

Prediction of the auction prices of bulldozers using historical data.

datetime-formatters feature-importance hyperparameter-tuning imputation mean-absolute-error mean-squared-log-error parsing preprocessing random-forest-regressor randomizedsearchcv seaborn-plots

Last synced: 31 Jul 2026

https://github.com/arshc0der/n.o.v.a-geospatial-ozone-predictor

An AI-powered geospatial intelligence dashboard for predicting atmospheric ozone levels using 27 years of NASA data. Features 3D climate mapping and live satellite tracking.

atmospheric-science climate-tech dashboard-ui data-visualization desktop-app geospatial-analysis gis machine-learning matplotlib ozone-prediction pandas python random-forest-regressor satellite-tracking scikit-learn tkinter windows-executable

Last synced: 01 Mar 2026

https://github.com/sridharyadav07/machine-learning-project-combined-cycle-power-plant-

This project is focused on Multiple machine learning models, including Linear Regression, Decision Tree Regression, and Random Forest Regression, were implemented to predict the target variable and evaluated using various metrics like RMSE, MAE, and R-squared. The performance of these models was compared, and the Random Forest Regressor was found.

data-processing decisiontreeregressor linear-regression metrics-evaluation python random-forest-regressor scikit-learn

Last synced: 16 Apr 2026

https://github.com/sai-manas/diamond_price_prediction

Diamond Price Predictor - Web Application: Predict diamond prices using various regression models: Linear Regression, Lasso, Ridge, ElasticNet, Decision Tree Regressor, Random Forest Regressor, and KNeighbors Regressor. The chosen Random Forest Regressor, with a remarkable accuracy of 97%, is deployed in a user-friendly Flask app

data-science decision-tree-regression elasticnet-regression flask kneighborsregressor lasso-regression linear-regression python3 r2score random-forest-regressor ridge-regression

Last synced: 16 Apr 2026

https://github.com/zeraphim/streamlit-iris-classification-dashboard

A Streamlit web application that performs Exploratory Data Analysis (EDA), Data Preprocessing, and Supervised Machine Learning to classify Iris species from the Iris dataset (Setosa, Versicolor, and Virginica) using Decision Tree Classifier and Random Forest Regressor.

classification dashboard data-analysis data-science decision-tree-classifier eda machine-learning python3 random-forest-regressor streamlit supervised-learning

Last synced: 18 Apr 2026