yromano/cqr

Conformalized Quantile Regression

Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 280 - Forks: 51

eaglewarrior/Machine-learning

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Language: Jupyter Notebook - Size: 27 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 41 - Forks: 37

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: 3 months ago - Pushed at: about 7 years ago - Stars: 26 - Forks: 19

MeshalAlamr/flight-price-prediction

Predicting flight ticket prices using a random forest regression model based on scraped data from Kayak. A Kayak scraper is also provided.

Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 7

mohan-aditya05/walmart_sales_forecasting

Using Time Series forecasting and analysis to predict Walmart Sales across 45 stores.

Language: Jupyter Notebook - Size: 6.32 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 17 - Forks: 8

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: 9 months ago - Stars: 15 - Forks: 9

cereniyim/Wine-Rating-Predictor-ML-Model

Automated ML pipeline with Python, Docker, Luigi, SciKit-Learn and Pandas to predict wine quality ratings

Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 12

techshot25/HealthCare

Insurance cost predictor

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 4

maneetgoyal/chemical-kinetics-predictor

A data-driven tool to predict the reaction order of homogeneous gas-phase reactions. Includes machine learning experiments on the NIST Chemical Kinetics Database.

Language: HTML - Size: 55.9 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 14 - Forks: 2

holukas/diive

Time series processing library

Language: Python - Size: 837 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 13 - Forks: 2

brimell/spicetify-star-ratings

Rate your music out of 5 stars (interactive)!

Language: Jupyter Notebook - Size: 8.26 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 12 - Forks: 1

Dalageo/ML-GasSensorDrift

Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 11 - Forks: 0

RezaSaadatyar/Time-Series-Analysis-in-Python

This repository contains Python functions for predicting time series.

Language: Python - Size: 1.51 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 0

VictorUmunna/Car-Price-Prediction

A machine learning project that predicts the price of used cars in the UK

Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 4

ksdkamesh99/Flight-Price-Prediction

A Flask based Web Application that Predicts the Flight Price using RandomForestRegressor.Its GUI is based on Swagger API. This is hosted on the Heroku platform.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 0

Anindya-Das02/Comparison-of-ML-models-for-predicting-AQI

In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).

Language: Python - Size: 354 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 14

ashishrana1501/Forest-Fire-Prediction

Algerian Forest Fire Prediction

Language: Jupyter Notebook - Size: 4.01 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 2

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: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 1

jainish-jain/RGPV-Exam-Result-Analysis-and-Prediction

The project would generate report of the result of the students and is also capable of concluding the result analysis report of the students as in tables, figures in Excel Sheet. The project is based on python which will use the web scraping technique used to launch the website from an automated software (as a web browser) to visit the website (RGPV) and fetch data as results of an individual student, Data analysis which is used to inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making, in this case with help of machine learning the prediction for the score of the students can be generate and shown in the format of figure as graph which concludes average score of batch, current batch, prediction of the score for the remaining semesters.

Language: Python - Size: 12.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 3

quaesito/ml-fitbit

A thorough analysis of opensource Fitbit data is performed. The key findings are highlighted and discussed. The analysis provided herein is performed using 940 data points collected from 33 distinct users. Machine Learning Models are used to solve a regression problem using Multiple Linear Regression, Random Forest and Extreme Gradient Booster

Language: Jupyter Notebook - Size: 8.37 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 5

treammm/DoG_SSIM

Matlab implementation of "Image quality assessment using human visual DOG model fused with random forest"

Language: C++ - Size: 1.94 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 0

mahesh147/Random-Forest-Regression

A simple implementation of Random Forest Regression in python.

Language: Python - Size: 1000 Bytes - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 8 - Forks: 8

iyashk/Car-Price-Prediction

A Machine Learning Project that uses Random Forest Regressor model to predict used cars price based on some attributes such as kilometers driven, age, number of previous owners etc.

Language: Jupyter Notebook - Size: 4.88 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 3

Chaitanyakaul97/Flight_Fare_Prediction

Aim of the project is to predict the fare of the flight.

Language: Jupyter Notebook - Size: 832 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 2

emirhanai/Machine-Learning-Prediction-Software-Based-on-Classification-and-Regression-Based-on-Processor-CPU

Machine Learning Prediction Software Based on Classification and Regression Based on Processor [CPU] Specifications

Language: Python - Size: 322 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 0

Sarah-2510/Vehicle-Insurance-Claim-Prediction

A model was built to predict the total insurance claim amount payable by the insurance company using machine learning techniques such as regression in python.

Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 1

DeepthiSudharsan/Rainfall-Pattern-Prediction-using-ML

Environmental Studies (P/F course) - End Semester Project

Language: Jupyter Notebook - Size: 613 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 1

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: 17 days ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0

RobertoFalconi/GameRatingsPredictor

Quantitative Methods for Computer Science exam project. Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it).

Language: Python - Size: 30.4 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

smartinternz02/SI-GuidedProject-4884-1627462177

Natural Gas Price Prediction System Using IBM Watson services

Language: Jupyter Notebook - Size: 33.1 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 3

manashpratim/Big-Mart-Sales-Prediction

Predicting the sales of a store

Language: Jupyter Notebook - Size: 197 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 2

pavankalyan1997/Machine-Learning-Using-Scikit-learn-and-other-libraries

Machine Learning algorithms implementation using Python

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 6

noemimejia/beatingthemarket

Language: R - Size: 9.12 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 5 - Forks: 5

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: 3 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 3

masadeghi/EHRsample

Prediction of hospital stay duration in heart failure patients using machine learning.

Language: Jupyter Notebook - Size: 715 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

sai-123-code/JOBATHON_FEB2022

Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. You can be among them too! At JOB-A-THON, all Data Science enthusiasts, freshers and professionals will get the opportunity to showcase their skills and get a chance to interview with top companies for leading job roles in Data Science, Machine Learning & Analytics.

Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

ritu-thombre99/Feature-selection-using-Genetic-Algorithm-for-Random-Forest-Classifier-

This project involved implementation of genetic algorithm for feature selection which were then passed to random forest classifier to predict trading position for day trading in Equity stock markets to provide an alternate method for current method used in buy and sell model.

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

Hishok/Impact-of-News-Headlines-on-Stock-Indices

Investigate the impact of general news headlines on Stock Indices

Language: HTML - Size: 4.61 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

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: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 4

GeorgeBatch/moleculenet

MSc Dissertation: Estimating Uncertainty in Machine Learning Models for Drug Discovery

Language: Jupyter Notebook - Size: 41.2 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 2

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: about 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

Juwono136/predictive-analytics-machine-learning-model

Predictive Analysis using a Comparison of Three Machine Learning Algorithms (KNN, Random Forest, and Boosting Algorithm) to Predict Home Selling Prices.

Language: Jupyter Notebook - Size: 4.63 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

Thorus-Slughorm/house_price_prediction

Welcome to my GitHub project dedicated to House Price Prediction using Python, EDA, and Machine Learning techniques. In this repository, I've explored the fascinating world of housing data to build robust predictive models that can estimate house prices with accuracy. By leveraging the power of Linear Regression and Random Forest, .

Language: Jupyter Notebook - Size: 959 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

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: 4 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

ThoroughZed-Analytics/Thoroughzed

Data science project - collect, clean, process and display using machine learning and interactive dashboard

Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 1

Somesh140/Laptop_price_prediction

This is a regression project which predict sthe price of the laptop based on the configuration of the laptop.

Language: Jupyter Notebook - Size: 3.46 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

Akash1070/BigMart-Sales-Prediction-

Building BigMart Sales Prediction

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

AkashSaxenaOfficial/Employee_Absenteeism

The task is to build a machine learning regression model will predict the number of absent hours. As Employee absenteeism is a major problem faced by every employer which eventually lead to the backlogs, piling of the work, delay in deploying the project and can have a major effect on company finances. The aim of this project is to find an issue which eventually leads toward the absence of an employee and provide a proper solution to reduce the absenteeism

Language: Jupyter Notebook - Size: 2.7 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 3

sahilrahmann/Price_prediction_of_used_Cars_-Predictive_Analysis-

Predictive analysis has been performed on the dataset that contains information about used cars listed on www.cardekho.com. Data preprocessing has been carried out, and Random Forest Regressor algorithm with a Hyperparameter Tuning has been used to achieve an adjusted R-Squared value as 92.1%

Language: Jupyter Notebook - Size: 590 KB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 2

samtwl/Machine-Learning

This repository contains several machine learning projects done in Jupyter Notebooks

Language: Jupyter Notebook - Size: 8.08 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - 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: about 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 3

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: 5 months ago - Pushed at: 5 months ago - Stars: 2 - 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: 3 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

zjmagou/MLYPGrain2024

Method Implementations for the ConvAE-RF modelling of grain yield in the mid-lower Yangtze plains

Language: Jupyter Notebook - Size: 102 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

tedoaba/House-Price-Prediction-App

House-Price-Prediction-App

Language: Python - Size: 710 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

yhe-rs/hac-rf-shap

Determining Feature Importance by Integrating Random Forest and SHAP in Python

Language: Jupyter Notebook - Size: 4.46 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

LuluW8071/Laptop-Price-Prediction

A collection of machine learning models for predicting laptop prices

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Harish-or-Peter/Appliance-Energy-Prediction

Predicted residential energy consumption using Linear Regression, Random Forest, and XGBoost models. Random Forest showed best performance, offering insights into energy usage patterns. Code and results on GitHub for reference and optimization.

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

samchak18/Capstone_Project_2_Retail_Sales_Prediction

AlmaBetter Capstone Project -Machine Learning Project type: Regression. Sales forecasting is an approach retailers use to anticipate future sales by analyzing past sales, identifying trends, and projecting data into the future.

Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

dhvl15/Backorder-Prediction

Backorder Prediction in R | Visualization | Regression

Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Masihsoniya/House-price-prediction

Predicting house price

Language: Jupyter Notebook - Size: 211 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

atharva-hukkeri/Traffic-Prediction-using-Machine-Learning

The project aims to develop models that can forecast traffic congestion, aiding in effective traffic management and planning.

Language: Jupyter Notebook - Size: 42 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

jagadeeshpj/Predicting-The-Energy-Output-Of-Wind-Turbine-Based-On-Weather-Condition

Predicting The Energy Output Of Wind Turbine Based On Weather Condition DEMO LINK : https://youtu.be/ICfu49Ud2HU

Language: HTML - Size: 28.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

saurabd007/streamlit-project-front-end-for-data-science-project-final---

it's my first data science application using streamlit and my first project uploaded to Github. I would like to thank Misra_Turp(youtube) for this project.

Language: Python - Size: 1.95 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

ishan-gupt/MachineLearningLab

Dump for all my ML lab work and submissions.

Language: Jupyter Notebook - Size: 5.6 MB - Last synced at: 18 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

ablacan/ml-ci

A machine learning method for confidence interval (CI) computation with specific application to Covid-19 forecast on 54 countries.

Language: Python - Size: 218 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

sumit0072/Car-Price-Prediction-Project

This is a predictive analysis of a dataset from CAR DEKHO. It predicts Car Selling Price. This is an end to end machine learning model.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 4

tboudart/Life-Expectancy-Regression-Analysis-and-Classification

I contributed to a group project using the Life Expectancy (WHO) dataset from Kaggle where I performed regression analysis to predict life expectancy and classification to classify countries as developed or developing. The project was completed in Python using the pandas, Matplotlib, NumPy, seaborn, scikit-learn, and statsmodels libraries. The regression models were fitted on the entire dataset, along with subsets for developed and developing countries. I tested ordinary least squares, lasso, ridge, and random forest regression models. Random forest regression performed the best on all three datasets and did not overfit the training set. The testing set R2 was .96 for the entire dataset and developing country subset. The developed country subset achieved an R2 of .8. I tested seven different classification algorithms to classify a country as developing or developed. The models obtained testing set balanced accuracies ranging from 86% - 99%. From best to worst, the models included gradient boosting, random forest, Adaptive Boosting (AdaBoost), decision tree, k-nearest neighbors, support-vector machines, and naive Bayes. I tuned all the models' hyperparameters. None of the models overfitted the training set.

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

dshah98/Machine_Learning_with_R

Full machine learning practical with R.

Language: R - Size: 444 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

benjdiasaad/Random_Forest

Présentation pptx sur l'algorithme Random Forest et l'utilisation de la forêt aléatoire pour un problème de régression

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

Aishwaryakkumar/Automobile

Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.

Language: Jupyter Notebook - Size: 1.92 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

kristpapadopoulos/house-price-predictions

Tensorflow Lattice Regression for predicting house prices

Language: Jupyter Notebook - Size: 6.22 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 3

Asifdotexe/StoDir

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

Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 1 - 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: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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: 5 months ago - Pushed at: 5 months ago - Stars: 1 - 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: 28 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Jaden449/LifeExpectancyPrediction

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

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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: 6 months ago - Pushed at: 6 months ago - Stars: 1 - 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: 6 months ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

prgrmcode/tr-earthquake-predictor

Turkey Earthquake Prediction 🌍📊: Unleashing AI/ML powers in Python for seismic forecasts. #MachineLearning #Python #DataScience 🤖

Language: Jupyter Notebook - Size: 57.7 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

shahpranshu27/HandsOn_ML

This is GEM repo, as it has all the Hands-On ML notebooks

Language: Jupyter Notebook - Size: 23 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

AxelLedung/house_price_prediction

A Streamlit application for predicting house prices in California

Language: Python - Size: 1.35 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

lukaszfabia/IT-salary-predictor

project for data science

Language: TypeScript - Size: 70.9 MB - Last synced at: 4 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

nlawira/india-house-rent-prediction

This repository contains a project I completed for an NTU course titled CB4247 Statistics & Computational Inference to Big Data. In this project, I applied regression and machine learning techniques to predict house prices in India.

Language: Jupyter Notebook - Size: 6.38 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

kaylaipp/Linking-Writing-Processes-to-Writing-Quality

Linking Writing Processes to Writing Quality

Language: Jupyter Notebook - Size: 278 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

qtle3/random-forest-regressor

This project implements **Random Forest Regression** to predict the salary of an employee based on their position level. Using a dataset that includes position levels and corresponding salaries, this project demonstrates how an ensemble method like Random Forest can improve prediction accuracy by averaging multiple decision trees.

Language: Python - Size: 8.79 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 1 - 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: about 1 month ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

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: 2 days ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

IsmaelMousa/house-price-prediction

End to end machine learning pipeline for house price prediction, including exploratory data analysis, data preprocessing, models training & evaluating

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Rakesh-konne/MentalfitnessTracker

Developed a user-friendly interface for individuals to track their mental fitness levels .This utilized machine learning algorithms such as linear regression model and Random Forest Regression model to analyze various inputs and detect pattern and trends.

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Simran2911/Flight-Price-Pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

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tatianacarcamoreula/Prediccion_de_Precio_Bienes_Raices

Predecir el precio de una casa dependiendo de sus características

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Tamiir/TIPE

Mon Travail à Initiative Personnelle Encadré (TIPE) sur le thème de la ville pour mon parcourt en MP.

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AbbasPak/K-Means-Clustering-in-psychology-Case-study

K-Means Clustering for the coping strategies of Brief COPE Questionnaire

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Anotherafael/STUDY_HousePricePrediction

Web application that utilizes a linear prediction model to analyze the USA Houses Price dataset. The trained model can predict the price of a house based on criteria such as location, number of bedrooms, number of bathrooms, and lot size.

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astonglen/AirBnb-Price-Prediction

The ability to predict prices and features affecting the appraisal of property can be a powerful tool in such a cash intensive market for a lessor. Additionally, a predictor that forecasts the number of reviews a specific listing will get may be helpful in examining elements that affect a property's popularity.

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jhylin/ML2-2_random_forest

Machine learning series 2.2 on random forest

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Praddysingh568/Prediction-of-Student-Alcoholism-and-Academic-Performance

This repository presents a study on predicting student alcoholism and academic performance using machine learning. By analyzing a dataset of student attributes, we develop models to forecast academic outcomes and alcohol usage.

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