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Projects in Awesome Lists tagged with randomforestregressor

A curated list of projects in awesome lists tagged with randomforestregressor .

https://github.com/mdaiyub/diabetes-prediction

Diabetes mellitus, commonly known as diabetes is a metabolic disease that causes high blood sugar. The hormone insulin moves sugar from the blood into your cells to be stored or used for energy. With diabetes, your body either doesn’t make enough insulin or can’t effectively use its insulin.

decisiontreeclassifier extratreesclassifier gradientboostingclassifier logisticregression logisticregressioncv machine-learning numpy pandas randomforestregressor seaborn svc xgboost

Last synced: 23 Apr 2025

https://github.com/kkeshav1101/priority_encoder

A fullstack application mimicking a To-Do App but optimising it to improve productivity by predicting the relative importance of each task.

bootstrap css django frontend fullstack-development html5 nlp-machine-learning python randomforestregressor

Last synced: 07 Feb 2026

https://github.com/m-rishab/housing-price-prediction

The Housing Price Prediction Accuracy Improvement project is a data-driven initiative focused on enhancing the precision and reliability of housing price predictions. This project encompasses a multidisciplinary approach, combining data science, machine learning, and real estate insights to optimize the accuracy of forecasts in the housing market.

gridsearchcv hyperparameter-tuning matplotlib matplotlib-pyplot numpy pandas pickle python3 randomforestregressor scipy sklearn

Last synced: 11 Apr 2026

https://github.com/hossein-rahmati/ai_jobs_prediction

A machine learning–powered system for predicting AI-related job trends by analyzing relevant datasets.

machine-learning python randomforestregressor regression-models

Last synced: 29 Apr 2026

https://github.com/ayazkhan27/anonymity

This project repository is a combination of all R and Python files that have led up to create the Sentiment Gummy Worm scoring model, which is a predictive randomForest model that calculates the mean sentiment score of a sentence based on buffer ratios, decay factors and input length.

bert-fine-tuning bert-model machine-learning natural-language-processing python r randomforestregressor sentiment-analysis visualization

Last synced: 15 Jun 2026

https://github.com/musfiquejim/enacp-a-hybrid-machine-learning-framework-for-detecting-anticancer-peptides

EnACP: āĻāĻ•āĻŸāĻŋ Ensemble Learning āĻŽāĻĄā§‡āĻ˛ āĻ¯āĻž āĻ…ā§āĻ¯āĻžāĻ¨ā§āĻŸāĻŋāĻ•ā§āĻ¯āĻžāĻ¨ā§āĻ¸āĻžāĻ° āĻĒā§‡āĻĒāĻŸāĻžāĻ‡āĻĄ āĻ¸āĻ¨āĻžāĻ•ā§āĻ¤āĻ•āĻ°āĻŖā§‡āĻ° āĻœāĻ¨ā§āĻ¯ āĻŦā§āĻ¯āĻŦāĻšā§ƒāĻ¤ āĻšāĻ¯āĻŧāĨ¤

adamoptimizer ai cnn-classification data-visualization deep-learning densenet inceptionv3 machine-learning matplotlib-pyplot numpy pandas randomforestclassifier randomforestregressor restnet sklearn u-net-pytorch vgg16 vgg19

Last synced: 04 May 2026

https://github.com/jigyasag18/gold-price-prediction-project-using-machine-learning

This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics

data dataset jupyter-notebook jupyter-notebooks machine-learning machinelearing machinelearningalgorithms machinelearningmodel machinelearningprojects matplotlib mlproject numpy pandas randomforestregressor seaborn

Last synced: 23 Jul 2025

https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning

Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.

exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization

Last synced: 27 Apr 2026

https://github.com/amruta33/end_to_end_mlproject

The Students Performance Analysis project, is an insightful exploration of the factors that impact students' academic performance. Using a dataset containing various student attributes, the project aims to uncover patterns and relationships that influence their success in examinations. This analysis is particularly valuable for educators, policymak

adaboostregressor catboostregressor decisiontreeregressor gradientboostingregressor k-nearest-neighbours lasso-regression linear-regression prediction python randomforestregressor ridge-regression xgbregressor

Last synced: 17 Apr 2026

https://github.com/harmanveer-2546/predicting-schizophrenia-disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization

Last synced: 13 Apr 2026

https://github.com/harmanveer-2546/finding-you-next-perfect-house

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor

Last synced: 13 Apr 2026

https://github.com/jarif87/totall-bill-prediction-using-docker

Predict total bill with Random Forest regressor. Dockerize for deployment.

ai data-science docker machinelearning randomforestregressor

Last synced: 26 Apr 2026

https://github.com/tsar123/coffee-quality-analysis

machine learning using RandomForestRegressor and dataset with coffee data

coffee ml numpy pandas randomforestregressor regressor-models sklearn

Last synced: 30 Apr 2026

https://github.com/raghavendranhp/predictive-analytics-in-automotive-manufacturing-testing-time-optimization

Explore machine learning for automotive testing optimization. Predictive analytics to reduce testing time and environmental impact.

elasticnet extratreesregressor fastica model-pipeline numpy pandas pca randomforestregressor svr-regression-prediction xgboost

Last synced: 09 May 2026

https://github.com/vedanty3/bulldozer-price-prediction

A machine learning project aiming to build a machine learning model which could predict the sales price of bulldozer.

andrew-ng-machine-learning ensemble-machine-learning gridsearchcv jupyter-notebook machine-learning matplotlib numpy pandas python randomforestregressor randomizedsearchcv scikit-learn ztm

Last synced: 05 Apr 2026

https://github.com/hariprasath-v/hackerearth_get-a-room-ml-hackathon

Build a Machine Learning model to identify the habitability score of the property based on the property's basic information and location-based information.

exploratory-data-analysis machine-learning numpy pandas pycaret python randomforestregressor regression scikit-learn seaborn

Last synced: 11 Apr 2026

https://github.com/sorna-fast/machine_learning_predicts_laptop_prices

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

matplotlib-pyplot pandas-dataframe pipeline randomforestregressor sklearn statsmodels winsorize-values xgbregressor

Last synced: 09 Apr 2025

https://github.com/gakas14/fare_prediction_for_yellow_taxi

Design an algorithm that will tell the fare to be charged for a passenger.

gridsearch linear-regression randomforestregressor regression-analysis svm

Last synced: 07 Mar 2026

https://github.com/urvee1810/bitcoin-price-forecasting-using-arma

The analysis reveals the challenges of predicting Bitcoin prices during highly volatile periods and demonstrates how traditional time series models perform under different market conditions. The project includes comparative analysis of model performance during stable and volatile market phases.

arima arma augmented-dickey-fuller-test feature-engineering machine-learning matplotlib mplfina numpy pandas python random-forest randomforestregressor scikit-learn seaborn statsmodels time-series-analysis

Last synced: 06 Mar 2026

https://github.com/anlbora/predictive-analysis-on-hitters-dataset

This project analyzes the 1987 baseball player statistics to predict salaries using machine learning. It includes data preprocessing, exploratory analysis, and model development with Random Forest regression.

data-science dataset machine-learning ml python random-forest randomforestregressor

Last synced: 20 May 2026

https://github.com/sridharyadav07/ai--powered-task-management-system

An intelligent Task Management System that integrates Sentiment Analysis, Task Optimization, and Forecasting to streamline project and task handling. This AI-powered tool is designed to assist teams and project managers in making data-driven decisions by understanding emotional context, forecasting productivity, and optimizing workload distribution

arima flask joblib jupyter-notebook naive-bayes-classifier nltk numpy pandas pickle-file python randomforestregressor scikit-learn stopwords-removal streamlit tfidf-vectorizer

Last synced: 08 Apr 2026

https://github.com/saeidemadi/scrapeformankan

This is a student project for a data mining course and is a simple exercise

activity crawling csv dataset food linear-regression randomforestregressor spider spiderman webscraping

Last synced: 22 Mar 2025

https://github.com/5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

decisiontreeregressor dummyregressor linearregression numpy pandas randomforestregressor scipy seaborn smape supervised-learning

Last synced: 08 Apr 2026