cfengmvt/Dual-Phase-Legislative-Spillover-Estimator

A two-component model of post-implementation U.S. federal legislative spillovers via GPT-4o-mini active distillation and Random Forest prediction of the Gini index.

Language: Jupyter Notebook - Size: 4.05 MB - Last synced at: about 12 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

Asifdotexe/StoDir

Stock direction forecasting model to forecast trends based on the closing price for each day

Language: Python - Size: 2.06 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

Victorgame59/student-score-prediction

🎓 Predict student exam scores using machine learning regression models with a focus on multi-variable analysis and feature selection for accurate results.

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

noumanjamadar/Bulldozer_Price_Prediction

End-to-end Machine Learning project predicting Bulldozer Auction Prices using Random Forest Regressor on 400K+ real-world Kaggle dataset with feature engineering, hyperparameter tuning, and model evaluation.

Language: Jupyter Notebook - Size: 9.63 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

Shubhrajit2399/ML_model_for_Indian_House_Price-Prediction

Price prediction of houses from different cities of india by RandomForest Regression

Language: Jupyter Notebook - Size: 6.01 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

deepakmisal24/Weather-Prediction-with-humidity-and-temperature-sensor-Using-Machine-Learning

This project is an IoT-based weather monitoring and prediction system that collects real-time temperature and humidity data using a NodeMCU (ESP8266) and a DHT11 sensor, logs it to a CSV file via a Python script, and uses machine learning(RandomForestRegressor) to predict future weather conditions.

Language: Python - Size: 19.5 KB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 2

shivamratti13/fastAPI_project

Car Price Prediction using FastAPI

Language: Jupyter Notebook - Size: 193 KB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

rahimizadeh/Prediction-API-with-Flask-and-MLflow

An end-to-end machine learning project demonstrating model lifecycle management with MLflow and production deployment using Flask.

Language: Python - Size: 27.3 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

brimell/spicetify-star-ratings

Rate your music out of 5 stars (interactive)!

Language: Jupyter Notebook - Size: 6.66 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 19 - Forks: 3

yromano/cqr

Conformalized Quantile Regression

Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 284 - Forks: 51

KeneanDita/Housing-Price-Predictor

A machine learning-based application that predicts housing prices using historical data and multiple regression models. The project incorporates data preprocessing, feature engineering, and model evaluation to ensure accurate and reliable predictions.

Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

holukas/diive

Time series processing library

Language: Python - Size: 837 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 2

semasuka/Loan-amount-prediction-regression

Predicting how much loan will be approved

Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 17 - Forks: 9

nayasinghania/spartan-score

An efficient OCR-based GPA calculator designed for SJSU students

Language: TypeScript - Size: 9.03 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

YamenRM/Forcast-Time-Series-Models-App

A user-friendly Streamlit web application that allows you to forecast time series data using **ARIMA**, **Prophet**, and **Random Forest Regression**.

Language: Jupyter Notebook - Size: 300 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

sankaran-s2001/IPL-Score-Predictor

A web app that predicts IPL cricket match scores using live match data.

Language: Jupyter Notebook - Size: 9.57 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Morris-mk/ExploreAI_Linear_Regression

This repository contains all exercises and projects done in fulfillment of the ExploreAI Linear regression module. The module is part of the ALX Data Science Track.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

JUL-13N/Home-loan-discrimination

Random forest machine learning regression and interactive web application using home loan data to help determine algorithmic discrimination toward race and gender in the application process. Visit the website: https://juliensimons.shinyapps.io/home-loan/

Language: R - Size: 21.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

somjit101/NYC-Taxi-Demand-Prediction

This is a Time Series Forecasting and Regression solution to project the no. of pick-ups at and around a given region at a given time in the city of New York, USA.

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: 9 days ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

Dalageo/ML-GasSensorDrift

Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 12 days ago - Pushed at: 9 months ago - Stars: 13 - Forks: 0

Prasanth3620/Employee-Turnover-Prediction

This project aims to identify employees who are at risk of leaving the company by leveraging various machine learning algorithms.

Language: Jupyter Notebook - Size: 430 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

prajakta1321/StreetML-A-Cityscape-Traffic-Volume-Prognostication

StreetML leverages ML learning techniques to revolutionize urban traffic prediction through precise volume prognostication, aiming to enhance cityscape mobility through data-driven insights.

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

nurdinsants/calories-burned-prediction

Predict calories burned during workouts using ML and ANN. This project leverages user data for accurate predictions. 🌟📊

Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

siddheshwarkoli/Texas-Employee-Salary-Prediction-Regression

Predictive model which will help theTexas state government team to know the payroll information of employees of the state of Texas

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ncrim7/Market-Value-Prediction

Market Value Prediction of Football Players Project with Machine Learning Algorithms

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

siddheshwarkoli/Flight-Price-prediction-Regression

Flight ticket prices are highly unpredictable, often changing day to day, today we might see a price, check out the price of the same flight tomorrow, it will be a different story, making it challenging for travelers and airlines to forecast costs

Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SunhengChea/NEXUS-AI

NEXUS-AI is a simple, reliable WhatsApp bot designed for seamless interaction. Fork and star the repository to contribute to this innovative project! 🐙🌟

Language: JavaScript - Size: 1.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Lokesh-DataScience/CAR-PRICE-PREDICTION-WITH-MACHINE-LEARNING

Car price prediction system to predict the car price based on features like fuel type, owners, kilometers driven, etc.

Language: Jupyter Notebook - Size: 2.11 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

Simran0192004/Electricity_Bill_Predictor

Electricity Bill Estimator predicts household electricity costs using machine learning on real energy and climate data. Built with Random Forest Regression, it delivers accurate, scalable insights and is ready for dashboard deployment. Here is the URL for the dataset.

Language: Python - Size: 34.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

narendhiran-dev/Predictive-Analytics-for-Repayment-Predictions

A machine learning API built with Python, FastAPI, and Scikit-learn to predict borrower repayment risk based on historical payment data. A FinTech risk assessment system that uses a Random Forest model to predict a borrower's future repayment behavior and serves the prediction via a REST API.

Language: Python - Size: 10.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

pratikkatkar-13/EHS_Fertility_Crop_Prediction

This project takes input as 14 micro nutrients values of soil and API based climatic parameter (Temperature, Humidity, Rainfall) on location based to predict Fertility level and Crop accordingly.

Language: Jupyter Notebook - Size: 2 MB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

hawkharsh1/Car-Price-Pridiction-Model-Using-Machine-Learning

This project utilizes machine learning techniques to predict the prices of used cars based on various features. By employing a Random Forest Regressor from scikit-learn, the model aims to provide accurate price estimations, assisting buyers, sellers, and dealerships in making informed decisions.

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sabin74/wine_quality_prediction

Predict the quality of red wine based on physicochemical features using various regression models including Linear Regression, Ridge, Lasso, Random Forest, and XGBoost. The project also includes hyperparameter tuning and model export capabilities.

Language: Jupyter Notebook - Size: 7.84 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

rohankharche34/Predict_Calorie-Expenditure

Calorie expenditure prediction with basic EDA and data processing.

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

pranit144/Smart-Movie-Recommender

This project is an intelligent movie recommendation system that uses collaborative filtering and personal preferences to suggest movies tailored to individual users. Built using Python and machine learning techniques, it leverages user ratings to predict and recommend content users are most likely to enjoy.

Language: Python - Size: 1.78 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

davutbayik/food-delivery-time-prediction

Food Delivery Time Prediction using Machine Learning Techniques

Language: Jupyter Notebook - Size: 49.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 3

ivanbetancxurt/f1-regressor

An exploratory F1 themed machine learning project for personal skill development.

Language: Python - Size: 35.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

KrupalWarale/Home-Energy-Consumption-Analysis-ML

This web application for predicting household energy consumption using multiple machine learning models with best accuracy and interactive visualizations and real-time comparison capabilities.

Language: Python - Size: 3.78 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

anathonic/big-data-mining-project

This repository contains the implementation of a machine learning project aimed at predicting movie ratings based on user reviews and tags. The data used for this project comes from the MovieLens dataset, which includes ratings and tags for over 9000 movies collected from 1995 to 2016.

Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Nicey-y/eodp-a2-accident-analysis-and-prediction

Assignment 2 - Elements of Data Processing

Language: Python - Size: 37.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

MainakVerse/Laptop-Sales

Laptech AI is a cutting-edge tool that leverages machine learning to predict laptop prices based on specifications. Our AI assistant also provides expert advice to help you make informed purchasing decisions in the ever-evolving tech market.

Language: Jupyter Notebook - Size: 2.99 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

chungony/demand_forecast_app

Demand forecast using random forest

Language: Python - Size: 96.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

brownepres/trump-speech-analysis

Statistical patterns in political rhetoric: The quantitative analysis of Donald Trump's 2024 election campaign speeches

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 11 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Mrtols/Technological-Analysis-of-impact-of-Climate-Change-on-Food-Production

This is about analyzing the impact of climate change on the yield of the 4 food crops for 41 years. It aims to uncover the intricate relationship between climatic factors & the yield of crops, identify, quantify the kind of relationship. Also, apply machine learning(ML) Algorithms, Optimize, develop predictive models and compare the perf metrics

Language: Jupyter Notebook - Size: 4.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

callicoder/ML-Demand-Prediction

Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018

Language: Python - Size: 3.87 MB - Last synced at: 5 months ago - Pushed at: about 7 years ago - Stars: 26 - Forks: 19

Devanshi1206/superstore_data_analysis

Superstore Data Analysis

Language: Jupyter Notebook - Size: 5.34 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

cyber220/car-price-prediction

A machine learning-powered web application that predicts the price of used cars based on essential input features such as brand, model, year of purchase, fuel type, and kilometers driven. This project utilizes a Linear Regression model and provides a responsive web interface built with Flask.

Language: Jupyter Notebook - Size: 112 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

aliiakbarkhan/RandomForestRegressor-Prediction-API

A Machine Learning API for predicting California housing prices, inspired by Chapter 2 of Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron.

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ovuiproduction/Crop-Price-Prediction-Using-Random-Forest

Machine learning model using the Random Forest algorithm to predict crop prices and analyze future price trends.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

apavazza/linux-distros

Popularity analysis of Linux distributions

Language: Jupyter Notebook - Size: 7 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

heet434/vruksh.aiot

Project repo for an automated plant watering system project. Code for the backend server, the micropython code for the iot device and the models used for moisture level and water quantity prediction are included.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

temulenbd/dublin-parking-suspensions-analysis

PROJECT NAME: Exploration and analysis of publicly available data: suspension of parking bays in Dublin City Council.

Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

ArunabhaPani/kaggle_house_price_prediction_advanced_regression_ml_model

started by analysing and determining the aspects required for tuning of the final ml model. Performed Eda and feature engineering inorder to determine the import parameters of the dataset and to derive more useful features, finally creating a ml model by using various different basic and advanced regression techniques.

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sorna-fast/Machine_learning_predicts_laptop_prices

About This is a project on the laptop store dataset to predict laptop prices. Random Forest and XGBRegressor machine learning models are used.

Language: Jupyter Notebook - Size: 2.98 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

jesuserro/weather-prediction-machine-learning

In this project, we aim to predict weather conditions using machine learning models.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jlee9503/medical-readmission

Conduct an analysis of medical readmission status using hospital patient data and the Social Determinants of Health dataset. Identify key factors influencing readmission rates to provide insights for improving healthcare outcomes.

Language: Jupyter Notebook - Size: 3.38 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

NishuMehta/House-Prices-Prediction

This project aims to predict house prices using three machine learning models — Linear Regression, Random Forest, and SVM.

Language: Jupyter Notebook - Size: 253 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

hossein-rahmati/Data-Science-Salaries-Prediction

This project aims to provide insights into data science salaries in 2023 and develop predictive models to estimate compensation based on various factors.

Language: Jupyter Notebook - Size: 171 KB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

DhruvrajSinhZala24/house-price-predictor-ml-model

A machine learning project to predict house prices using linear regression and random forest models. The project leverages housing data to train and evaluate models, comparing their performance using metrics like MSE and R². Visualizes actual vs. predicted prices to assess model accuracy.

Language: Python - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Ginga1402/Store_sales_Analysis_and_Profit_Prediction

Exploratory Data Analysis on Store Sales Data

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

UmairAli254/Predicting_House_Prices---Linear-Regression

Predicting House Prices via Linear Regression, Decision Tree Regressor, Random Forest Regressor, and Gradient Boost Regressor

Language: Jupyter Notebook - Size: 457 KB - Last synced at: about 19 hours ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

owenl0000/HousePricesProject

Kaggle Project

Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

brandalee/Predicting-Rice-Yields-Using-Machine-Learning-Approaches-Through-Satellite-Imagery

Language: Jupyter Notebook - Size: 865 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

techshot25/HealthCare

Insurance cost predictor

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 4

dishant24/Car-Prediction

This dataset contains information about used cars. This data can be used for a lot of purposes such as price prediction to exemplify the use of Random Forest regression in Machine Learning. The columns in the given dataset .

Language: Jupyter Notebook - Size: 347 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Snigdho8869/Regression-Analysis-Projects

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

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

tekewin/used_cars_price_regressor

Used cars dataset (Kaggle) multiple regression model to predict price

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Godm0de0n/Gold-Price-Prediction

ML Model using Random Forest Regression to Predict Gold Price

Language: Jupyter Notebook - Size: 512 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

meenakshyyy/Food-Demand-Forecast-Assessment

This project focuses on demand forecasting for a meal delivery company operating across multiple cities. Accurate forecasting helps fulfillment centers optimize raw material procurement and staffing to minimize food wastage and stockouts. The objective is to predict demand for the next 10 weeks (Weeks 146-155) using historical data and relevant mea

Language: Jupyter Notebook - Size: 861 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

rishi035/Kaggle-Competition-Forecasting-Sticker-Sales

Kaggle Competition

Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

venkatram-2005/My-Policy-Hub---An-Online-Insurance-Management-System

An Online Insurance Management System Using AI

Language: CSS - Size: 49.1 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 4

MAHMOUD2ABDALLAH/Bike-Sales

It was a competition on KAGGLE for prediction on the most sales products on bikes via their features

Language: Python - Size: 358 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

imane0x/Dynamic-Pricing

This project implements dynamic pricing strategies for ride-sharing using machine learning to optimize pricing based on customer behavior and market trends.

Language: Python - Size: 2.66 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Stephen-Adwini-Badu/08.-J.P-Morgan-Project

This project comprises two interconnected objectives, each represented by a separate Jupyter Notebook. Both objectives aim to apply machine learning methodologies to solve practical problems in predictive analytics.

Language: Jupyter Notebook - Size: 2.79 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

fazeelibtesam/Brain_Tumor

Classification of Brain Tumor

Language: Jupyter Notebook - Size: 577 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Jaden449/LifeExpectancyPrediction

Life Expectancy Prediction using Random Forest Regression Model for improving patient's health by giving them health photos

Language: HTML - Size: 0 Bytes - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

manishkolla/Zillow-Home-Value-Prediction

To address the impact of rising house prices on the economy, we built a machine learning model resistant to market trends. We experimented with Random Forest and Linear Regression models, employing sophisticated imputation methods like median state price replacement, KNN imputation, and forward/backward filling to minimize errors.

Language: Jupyter Notebook - Size: 9.29 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

missbo-cyber/Machine-learning-in-spectroscopic-elipsometry-data

Optimization of machine learning algorithms for ellipsometric data analysis

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

jash0803/Property_Acquisition_Cost_Predictor

This repository contains a machine learning project for predicting house prices using various regression models.

Language: Jupyter Notebook - Size: 5.47 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 1

Jchow2/python-market-segmentation-analysis

Sauti East Africa request for a segmentation analysis on all of their user's behavior. Sauti wishes to better optimize their menu design and explore the feasibility of smart menus based on user predicted behavior.

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

SohamRider786/House_Price_Predictor

A machine learning project to predict house prices based on various property features using advanced regression techniques. This project demonstrates end-to-end model development, including data preprocessing, feature engineering, model training, evaluation, and visualization.

Language: Jupyter Notebook - Size: 41 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

chandadiya2004/car-price-prediction

This project combines a Random Forest model with a Streamlit web app to predict car prices based on various factors such as make, model, year, mileage, and more. The overall goal is to create an intuitive, interactive tool that helps users estimate car prices with high accuracy.

Language: Jupyter Notebook - Size: 7.45 MB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

LKEthridge/Intro_to_Machine_Learning_Project

Intro to Machine Learning Project from TripleTen

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

vishrut-b/ML-Project-Laptop-Price-Prediction

This project aims to predict laptop prices based on various features extracted from a dataset of laptop specifications. The project involves data preprocessing, feature engineering, and building a predictive model using machine learning techniques.

Language: Jupyter Notebook - Size: 7.77 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

rjlovespy/House-Price-Predictor

A Tkinter GUI whose predictions are based on an ML model that is trained by Random Forest Regressor

Language: Cython - Size: 110 MB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 3

amancore/Radiant-Future-AI

AI-powered solution for personalized solar panel recommendations, using machine learning and real-time weather data to optimize energy efficiency, reduce carbon footprints, and maximize savings.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 26 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 1

WalidAlsafadi/House-Prices

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

Language: Jupyter Notebook - Size: 2.76 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

themihirmathur/Mihir-ClickPost-Data-Science-Intern-Round-1-Assignment-Submission

The objective of this project is to predict the predicted_exact_sla, which is the number of days between the shipment and delivery of an order, using historical shipment data.

Language: Jupyter Notebook - Size: 32.6 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

MZohaib364/House-Price-Prediction-Model

End to End ML Project with Scikit Learn

Language: Jupyter Notebook - Size: 395 KB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ketanktn/Mobile-Price-Prediction-App

mobile-price-prediction--ktn

Language: Python - Size: 2.85 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

abhipatel35/ML-Regression-Lifecycle

Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.

Language: Python - Size: 27.3 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

pvfarooq/machine-learning-apis

Machine learning models APIs

Language: Python - Size: 575 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Shivshreeram/TaxiFare_pred_RFR

This project predicts taxi fares using machine learning, analyzing features like day, time, weather, and traffic. It utilizes Random Forest Regression to capture complex relationships and provide accurate fare predictions.

Language: Jupyter Notebook - Size: 398 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

prakhar175/House-Price-Prediction

This project aims to predict house prices based on various features such as square footage, number of bedrooms, location(city),Point of Contact and Bathroom(s)

Language: Jupyter Notebook - Size: 139 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

th4ruka/solar-power-generation-prediction

Machine learning-based prediction of solar power generation for a power plant, focusing on forecasting future output using weather and historical generation data.

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

ThiBaoLinhLe/CustomerChurn

This project is designed to predict customer churn based on a given dataset and to explore clustering techniques for segmenting customers. The script leverages machine learning models such as RandomForestRegressor and KMeans, along with data preprocessing techniques to handle missing values and scale the data.

Language: HTML - Size: 512 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

KasrAskari/Housing-Price-Forcast

Prediction of House Price in Boston

Language: Jupyter Notebook - Size: 285 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

DularaWijerathne/Vehicle_Price_Prediction

Utilizing a Random Forest regression model, this project predicts car prices in Australia by analyzing essential features. Through meticulous data preprocessing and effective training, the model is refined for optimal accuracy. It excels in estimating prices based on brand, year, mileage, cylinders, and engine capacity.

Language: Jupyter Notebook - Size: 17.5 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Ginga1402/YouTube_Engagement_System

Exploratory Data Analysis on YouTube Data & Likes Prediction

Language: Jupyter Notebook - Size: 109 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0