BhagyashreeMohalkar/Mental_Fitness_Tracker-

This project analyzes global mental health and substance use disorder data to predict mental fitness trends across countries over the years using machine learning models like Linear Regression and Random Forest Regressor.

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KefaMensch/IMDB_Prediction

IMDB Prediction Model Using Machine Learning

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Saptha-Harsh/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.

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Algi21/Supervised-Learning---Regression

Project supervised learning dengan Model Regression untuk memprediksi jumlah views youtube berdasarkan dataset

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fazeelibtesam/BagPackPrediction

My kaggle competition playground series model

Size: 6.12 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Armedstudent/Sentimental-Analysis

Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.

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Rachelnk/Simple-Machine-Learning-Model

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

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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.

Language: TypeScript - Size: 43.5 MB - Last synced at: 2 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

BumaranChe/Using_Combined-Cycle-Power-Plant-CCPP-dataset-_Perform_Regression_Python

Calculating MSE and RMSE of Combined Cycle Power Plant (CCPP) dataset using Regression

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c-kosasih/Predict-Abalone-Ring-FastApi

Predicting abalone age (ring count) using a Random Forest Regressor. The model is deployed via a FastAPI backend for efficient and scalable predictions.

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janaghoniem/Housing-Prices-Prediction-using-Machine-Learning

Predicting housing prices using machine learning regression models with strong preprocessing, feature engineering, and MSE visualization through vectorized linear regression.

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dpb24/netflix-global-top-10-performance

🎬 Predictive Analytics: Forecasting Netflix Title Performance using a Random Forest Model

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Saman-Alipouri/fibercrete-strength-prediction

Machine learning model for predicting compressive strength of fiber-reinforced concrete with waste rubber.

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pankajsingh016/Diamond-Price-Prediction

Based on the features of the diamond this ML model, predict the estimated price of the diamond. Accuracy is around 95.6%

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srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: 2 days ago - Pushed at: about 4 years ago - Stars: 389 - Forks: 195

aditi-govindu/IPL-Predictor

Based on historical data predict total runs scored by the batting team, at the end of 6 overs for IPL 2021.

Language: Python - Size: 4.81 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

NeuroByte-Consulting/Sales-Data-Analysis-and-Forecasting-Using-Ensemble-Methods

Sales Data Analysis and Forecasting Using Ensemble Methods. Data Collection and Cleaning, Exploratory Data Analysis, Data Analysis and Data Visualization, and Sales Forecasting

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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.

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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.

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MariiaSam/Rent-in-Brazil

Language: Jupyter Notebook - Size: 96.1 MB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

anirudhasahu92/random_forest

The repository contains sample random_forest models made on real world datasets

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alejimgon/Housing-Prices-Kaggle-Competition-Model

This repository contains my current model for the Housing Prices Kaggle competition.

Language: Python - Size: 27.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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

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setare92-ha/automated_essay_scoring_using_nlp

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Snigdho8869/Regression-Analysis-Projects

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

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Aryaadikaa/Linear-Regression-and-Random-Forest-Regressor

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shubhampundhir/flight-fare-prediction

This is a end to end Data Science project where the task is to predict the Fare of the flights (Indian Only). Data is in the form of Excel spreadsheets, one is for training purpose and the other is for testing.

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Saurabh-html/Saurabh-html-Gas-Sensor-Drift-Compensation-and-Concentration-Quantification

A Random Forest Regressor-based framework for compensating sensor drift in MOS gas sensors over 36 months. Designed for industrial IoT, it achieves <10% MAE, reduces recalibration by 40%, and runs in 5 ms on edge devices.

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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.

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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.

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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.

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entuziaz/AirfoilOptimizer

Predicting sound pressure levels from the aerodynamic properties of airplane airfoils.

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BeheshteSadeghi/CovidVaccination_MLProject

The focus of this project is on Data Cleaning, Data Analysis, Data Extraction for story-telling, Gaining an insight from Pycaret Regression tool over best ML algorithms,and finally comparing 4 top models for selecting the best.

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GURSV/AutoWorth

Used Car Price Prediction (India)

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GURSV/StockSage

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

Language: Python - Size: 7.44 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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.

Language: Python - Size: 3.04 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

priyansh-iitd26/Laptop_Price_Predictor

A Streamlit web app that predicts laptop prices using a Random Forest Regressor. Users input specifications like brand, RAM, weight, and screen size to estimate the price.

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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.

Language: Python - Size: 862 KB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

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.

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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😇✨

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AShirsat96/HousingPrices_Prediction_Model

Predicted the sales price using different machine learning prediction models for Housing Prices Dataset

Language: Python - Size: 1.95 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

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.

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zargiteddy/Life-Expectancy-Prediction

Life Expectancy Prediction using Random Forest Regressor with Cross Validation and Hyperparameter Tuning

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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.

Language: Python - Size: 4.41 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

jaysri125278/car-price-prediction

Car Price Prediction Web-app

Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 1

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.

Language: Python - Size: 3.44 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 1

akbloodadarsh/Twitter-Sentimental-Analysis

I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Extra Tree Regressor, Extra Tree Classifier, Decision Tree Classifier, Binary Logistic Regression and calculated accuracy score, confusion matrix and ROC(Receiver Operating Characteristic) and AUC(Area Under Curve) and finally shown how they are classifying the tweet in positive and negative.

Language: Python - Size: 93.8 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 12

maheera421/Bulldozer-Price-Prediction-Model

Prediction of the auction prices of bulldozers using historical data.

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maheera421/Car-Price-Prediction-Model

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

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Armanx200/Bitcoin_Price_Prediction

📈 Bitcoin Price Prediction using Random Forest Regressor 🧠

Language: Python - Size: 207 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

fajar140/Project-ML-PrediksiHargaMobilBekas

Machine Learning Model using Random Forest Regression to Predict Used Car Price

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Awaiz-Malik/Meteorite-Landing-Prediction

Utilizing NASA's dataset and AI, our research predicts meteorite trajectories to Earth, enhancing precision for planetary defense. Join us in advancing this work, contributing to solutions that safeguard our planet from cosmic hazards.

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Niroop2004/Real_estate_price_prediction.

This Flask app predicts house prices using a RandomForestRegressor model trained on a housing dataset. It includes data pre-processing with pipelines and imputers, stratified train-test splitting, and a user input form. Predictions are displayed on the web page, making it ideal for learning basic machine learning deployment with Flask.

Language: Python - Size: 127 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 1.03 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

LSShrivathsan/flood-forecasting-system

flood forecasting system - prediction of extent of the inundation, impact analysis & damage estimation

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Yunanouv/Used-Car-Price-Prediction

ML Supervised-Regression : Used Car Price Prediction

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giovannicampa/football_match_results_prediction

This project uses a machine learning approach in order to predict the number of goals scored by two teams in a match and then calculates the winning team

Language: Python - Size: 678 KB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 0

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).

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Jeeva046/Python-Data-analytics

Tools & skills Used: Python, MATLAB, Seaborn, ML models

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nothineazi/Car-Price-Prediction-Model

A machine learning model that predict car prices using Random Forest Regression, and Randomized Search CV.

Language: Jupyter Notebook - Size: 504 KB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

CyprianFusi/Kaggle_Bulldozer_Price_Prediction

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

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thangdang04/Analyze-data-in-a-marketing-campaign-database-using-Python

Data analysis project on a marketing campaign database using Python

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VADDE-KISHORE/KNOWNLEDGE_REPRESENTATION--USING_MOBILE_PRICE_PREDICTION

THIS IS OUR FIRST PROJECT SUBMITTED IN GITHUB. "Wonderful Learning Experience"

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yyigitturan/Baseball-Players-Salary-Prediction

This project develops a machine learning model to predict the salaries of baseball players based on their past performance.

Language: Python - Size: 803 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

shreeyajoshi2013/Prediction-of-Electricity-Consumption

Prediction of Electricity consumption in Household Units by using Random Forest Regressor

Language: Jupyter Notebook - Size: 135 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Sk70249/Regression-Model-Predicting-Price-Of-Pre-Owned-Cars

A Machine Learning Model that predicts price of pre-owned cars using Linear Regression and Random Forrest Regressor.

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

Aman16-ai/E-AgriMart

It is an e-commerce web portal for farmers and customers. Farmers can list there crops with quantity and base price. Customers can bid on a crop with there prices. Farmer can sell there crop to best bid. Framer can also predict the production of the crop of a particular season, year, weather, and area.

Language: Jupyter Notebook - Size: 8.56 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 2

final0417/StockPulse

“StockPulse:- Customized Portfolio Forecasting with Small Cap Stocks: - A Comparative Study and Model building with reference to Indian Stock Market with Machine Learning and Deep Learning Models.”

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Seghelicious/Stuber-Logistics

Predicting the Time Elapsed from Pickup to Delivery

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Seghelicious/Cars45

Language: Jupyter Notebook - Size: 522 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

CSFelix/Sales-Prediction

🌱 Predicting Number of Sales per Product 🌱

Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0

roniantoniius/Plane-Ticket-Price-Prediction-with-Random-Forest

Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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! 📝✨

Language: Jupyter Notebook - Size: 633 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

theabhisekdatta/Car-Prediction

Prediction is done by Random Forest Regressor with the help of Hyperparameter Tuning for better accuracy.

Language: Jupyter Notebook - Size: 139 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

paperscissoroxie/predictingbmwcarprices

Predicted used BMW car prices using linear regression and random forest regressor achieving accuracy scores of greater than 98 for each model and determined the most influential features to the target variable, price. Created a recommendation engine to find similar listings to the original listing. The project includes a technical report.

Language: Jupyter Notebook - Size: 9.96 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

amirR01/Predicting-Breast-Cancer-Survival-Project

Predicting breast cancer survival using machine learning models

Language: Jupyter Notebook - Size: 3.91 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Jonathan-Tiede/RealEstate_Recommender

A real estate market analyzer used to identify recently listed homes that could be undervalued.

Language: Jupyter Notebook - Size: 28.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

hita03/Gold-Price-Prediction

Simple project on predicting gold prices, makes use of a Random Forest Regressor.

Language: Jupyter Notebook - Size: 131 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Abdumajidhu/Classification-and-Regression-using-sklearn

Regression and Classification task with sklearn.

Language: Jupyter Notebook - Size: 41 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

Yousufali927/Sales_Prediction_Walmart

The aim of this project is to analyse Weekly sales data of walmart stores and build an ML model, that can predict sales of walmart stores.

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

iamjr15/Spotify-Song-Popularity-Prediction

Analysis and modeling of Spotify songs data to predict popularity score of tracks using audio features. Implements data visualization, preprocessing, feature engineering and machine learning with Python.

Language: Jupyter Notebook - Size: 3.13 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MuskanKhandelia/Company_Sales_Prediction

supervised-machine-learning-random-forest-regression

Language: Jupyter Notebook - Size: 1.97 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MrKhan0747/New-York-City-Taxi-Trips-Fare

In this project using New York dataset we will predict the fare price of next trip. The dataset can be downloaded from https://www.kaggle.com/kentonnlp/2014-new-york-city-taxi-trips The dataset contains 2 Crore records and 8 features along with GPS coordinates of pickup and dropoff

Language: Jupyter Notebook - Size: 2.43 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 2

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

Language: Jupyter Notebook - Size: 5.54 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

samagra44/Zomato_Delivery_Time_Prediction

The Zomato Delivery Time Prediction Application is a machine learning-driven Flask web application designed to predict the estimated delivery time for food orders placed on the Zomato platform.

Language: Python - Size: 4.32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Mehrab-Kalantari/Book-Price-Prediction

Book price dataset analysis and modeling

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sahaj-26/House-Price-Prediction

The project aims to predict house prices in California based on various features using machine learning techniques. It uses the California housing dataset, comprising 20640 data entries and 8 attributes, with the target being the house price.

Language: Jupyter Notebook - Size: 568 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

albertobas/ames-housing-prices

Exploratory data analysis and supervised learning analysis on the Ames Housing Prices dataset.

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Hamza-Chaoui/LinearRegression-RandomForest-Regression-MLmodel

analysis of urban traffic behavior in the city of Sao Paulo in Brazil

Language: Jupyter Notebook - Size: 225 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ADVAIT135/Forage_Cognizant_Artificial_Intelligence

This Repository consist of all the Jupyter Notebooks, Images and .CSV files of the tasks that were assigned during the Cognizant Artificial Intelligence Course hosted on Forage

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usmanbvp/Car-Price-Prediction

This repository contains the code and resources for a Car Price Prediction project.

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princessnaya1234/ML-House-Prices-Prediction-Model

A trained ML model for prediction of house prices in IOWA using Random Forest Regression technique

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emirhanai/Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate

Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties

Language: Python - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 1

sachdevyash123/Electricity_price_prediction_model

Check out this Electricity price prediction model using python machine learning.In which i use RandomForestRegressor Algoritham to predict the data and also visualize(UI) using Streamlit

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Ranjeet731/House_Price_Prediction

The "House-Price-Prediction" repository contains code for a model that predicts house prices. It considers factors like bedrooms, bathrooms, and living area. With simple instructions, With the help of this model we can easily predict results as per our requirement.

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16danielvm/How-to-improve-the-accuracy-of-a-Regression-Model

This project shows a guide for improving the accuracy of regression model.

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yasarigno/Predictions_on_Energy_Consumption_in_Seattle

Prediction on energy consumptions of the city of Seattle in order to reach its goal of being a carbon neutral city in 2050.

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ShreyaPatil1199/Life_Expectancy

The overall objective of this project is to critically analyze and develop the relationships of quantitative factors affecting life expectancy in 193 countries between 2000 and 2015 that underlie changes in life expectancy. The importance of predicting life expectancy arises because of its important role as an indicator of the overall health.

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aneerati/Titanic-Model

Random Forest Regression Model to predict titanic survivability

Language: Python - Size: 43 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Mehrab-Kalantari/Advanced-House-Price-Prediction

Predicting house prices using advanced regression algorithms

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