GitHub topics: extratreesregressor
surendiran-20cl/Kaggle-April-Playground-Series
Predicting podcast episode listening time using machine learning for Kaggle's April 2025 Playground Series. Built models like Random Forest, LightGBM, and ExtraTrees with feature engineering and evaluation. Achieved strong validation RMSE performance.
Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

farshad257/Regrassion_Income_Forcasting
A powerful stacked ensemble model for income prediction, combining GradientBoosting, AdaBoost, Bagging, Linear Regression, and Decision Trees. Achieves an impressive R² of 0.8761 on the RoS_sample_submission dataset.
Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Shailesh-Padhariya/Zomato-Ratings-Deployment
This project predicts restaurant ratings based on various factors such as online orders, table bookings, restaurant type, location, and cuisine. Machine learning models were trained and deployed using Flask to provide real-time predictions.
Language: Jupyter Notebook - Size: 831 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

samadpls/stockseer-api
Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.
Language: Python - Size: 237 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 11 - Forks: 4

Edgar-La/Regression_models_Stock_Prices
This repository contains implementations of regression models on the Starbucks stock market. The goal is to provide a comprehensive understanding of the performance of these models. Also, implement metrics without relying on external machine learning libraries. ☕️📈
Language: Jupyter Notebook - Size: 20.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

akash1188/Predictive-Analysis-ML
Explore ML mini-projects with Jupyter notebooks. Discover predictive analysis for commercial sales, leveraging regression models such as linear regression, decision trees, random forests, lasso, ridge, and extra-trees regressor.
Language: Jupyter Notebook - Size: 458 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

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.
Language: Python - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

bhaveshk22/Project---RestaurantRating_Prediction
This repository contains a machine learning project that predicts restaurant ratings. It leverages the Flask framework for model deployment, providing an interactive interface for real-time predictions.
Language: CSS - Size: 18.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Tejas1415/Hackathon__Beer-Score-Prediction__Disparate-programs-using-Neural-Net__Convolutional-Neural-Net.
Regression Using NeuralNet and CNN and a detailed analysis over the results obtained from regression techniques in ML and DL.
Language: Python - Size: 3.89 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0

emirhanai/AID362-Bioassay-Classification-and-Regression-Neuronal-Network-and-Extra-Tree-with-Machine-Learnin
I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.
Language: Python - Size: 815 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 0

MichalPogodski/temperature_prediction
Temperature prediction for Machine Learning course.
Language: Python - Size: 2.63 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

afsanamimii/Flight-Fare-Prediction-Using-Flask
This is a end to end data science project where the flight fare has been predicted using Random Forest model.
Language: Jupyter Notebook - Size: 779 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

urmipandya123/Road_Severity_Classification
Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AsimChakraborty/car_price_prediction
The main goal of this machine learning project is to build a machine learning model to predict the car price.
Language: Jupyter Notebook - Size: 863 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

theonelson/kaggle-energy-prediction
Kaggle competition : prediction of the energy uses
Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Alphaomegainfinity/Project-4_Car_Price_Predictor
Explore and predict the used car price by building the machine learning model based on the existing data. Then examining the model between the actual price and the predicted price.
Language: Jupyter Notebook - Size: 215 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

RochaErik/Project-Flight-Price-Predictor
Development of a site where flight prices could be predicted.
Language: Jupyter Notebook - Size: 5.79 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

RochaErik/Project-Food-Places-Predictor
Development of a ratings predictor for Zomato food places.
Language: Jupyter Notebook - Size: 43.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

GoodnessUdochukwu/Housing-Price-Regression
This project utilizes housing features to develop a regression model for predicting housing prices.
Language: Jupyter Notebook - Size: 6.76 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Akash1070/Predicting-Zomato-Restaurant-Ratings
Perform extensive Exploratory Data Analysis(EDA) on the Zomato Dataset. Building an appropriate Machine Learning Model that will help various Zomato Restaurants to predict their respective Ratings based on certain features deploy the Machine learning model via Flask
Language: Jupyter Notebook - Size: 710 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

hassan-ademola/Washington-Housing-Prices-Predictions
A machine learning project that explores and predicts the prices of houses in Washington, USA
Language: Jupyter Notebook - Size: 5.62 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

anishjohnson/NYC_Taxi_Trip_Time_Prediction
In this project we will predict the time taken by NYC taxis to complete their trips using regression.
Language: Jupyter Notebook - Size: 5.47 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

gulabpatel/Feature_Selection
Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

rylp/Appliance_Energy_Prediction
Predicted the energy consumed by various appliances using moisture content, temperature & other external conditions given in the data set. We used feature engineering techniques and the LSTM Network for training and got the best results. We were ranked 2nd out of 50+ participants after the final evaluation
Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 4

aryanDAB/formation-damage-estimation
Estimation of permeability reduction due to asphaltene deposition and precipitation with the help of machine learning algorithms
Language: Python - Size: 40 KB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

cnrkaya/video-transition-time-estimation
Video transition time estimation with different regression techniques
Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

rohitrawat13396/SmartEnergy-Time-Series-prediction
Naive, XGBoost, AdaBoost and other Regressors
Language: Jupyter Notebook - Size: 4.66 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

theAayushbajaj/LoanPrediction_Analysis
Loan Prediction Problem Analysis
Language: Jupyter Notebook - Size: 463 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0
