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GitHub topics: decision-tree-regression

sudhanshu182004/ml-from-scratch

A comprehensive collection of practical machine learning examples using popular frameworks and libraries.

Size: 1.95 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

dpb24/netflix-global-top-10-performance

Using Machine Learning to predict Netflix Global Top 10 viewership trends (Python & R)

Language: Jupyter Notebook - Size: 6.44 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

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%

Language: Jupyter Notebook - Size: 8.19 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Suji04/ML_from_Scratch

Implementation of basic ML algorithms from scratch in python...

Language: Jupyter Notebook - Size: 540 KB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 300 - Forks: 231

fatimesevilgen/house-price-prediction-app

🏠 House price prediction app with Random Forest Regressor and using Streamlit for Modern UI.

Language: Jupyter Notebook - Size: 905 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: 4 days ago - Pushed at: almost 4 years ago - Stars: 389 - Forks: 196

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

Assignment 2 - Elements of Data Processing

Language: Python - Size: 37.1 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

raghavendranhp/Industrial_copper_modelling

Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.

Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

yerimoh-23/MachineLearning-StartingSalaryPredictionModel

Predicting Average Starting Salary Based on College Characteristics

Language: Python - Size: 6.35 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

havva-nur-ezginci/ML-Applications

💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

fazeelibtesam/BagPackPrediction

My kaggle competition playground series model

Size: 6.11 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - 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: about 2 months ago - Pushed at: 6 months ago - Stars: 11 - 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 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PhanChenh/PredictQuantity_PythonProject_PizzaDataset

Sales Quantity Forecasting for Pizza Dataset 2015

Language: Jupyter Notebook - Size: 3.92 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

qweryrr/Intro_to_Machine_Learning_Project

Intro to Machine Learning Project from TripleTen

Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nakulpandit/ml_1

Machine Learning

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 3 months ago - Pushed at: 3 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

coderjolly/player-market-value-prediction

There is an intense transfer speculation that surrounds all major player transfers today. An important part of negotiations is predicting the fair market price for a player. Therefore, we are predicting this Market Value of a player using the data provided in csv format.

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

Monish-Nallagondalla/positional-Salaries

This project implements a Decision Tree Regression model to predict salaries based on position levels using the dataset Position_Salaries.csv. The dataset contains position levels and their corresponding salaries. The model uses a decision tree to learn the relationships between position levels and salaries and predict salaries for any given positi

Language: Jupyter Notebook - Size: 33.2 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

kristishqau/ApartmentRegressionAnalysis

This data science project aims to predict apartment prices through regression analysis. The dataset used contains information about apartments, and the project involves various steps such as data preprocessing, exploratory data analysis, feature engineering, and building a decision tree regression model.

Language: Python - Size: 1.26 MB - Last synced at: 2 months ago - Pushed at: over 1 year 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: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

William-Zhan-bot/sport_shoes_predict_by_AI

以ai模型對球鞋售價進行預測 Sneakers Price Predict Based on ML model

Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

rydzze/Sales-Prediction-for-Walmart-Store-Regression

Project for Artificial Intelligence Fundamentals

Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sushant1827/Predicting-Boston-Housing-Prices

Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home

Language: Jupyter Notebook - Size: 160 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 5

MZohaib364/House-Price-Prediction-Model

End to End ML Project with Scikit Learn

Language: Jupyter Notebook - Size: 395 KB - Last synced at: 4 days ago - Pushed at: 5 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: 17 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

felipeversiane/ia-regression

a regression problem to predict values in a open ifg database.

Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

AdarshVishwakarma12/machine-learning-algorithms

Scratch implementation of machine learning algorithms for educational use.

Language: Python - Size: 21.5 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

marktheo/bike-sharing-demand

Jupyter Notebook - Predicting bike rental numbers based on climate and temporal data

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

shaadclt/House-Price-Prediction-DecisionTreeRegressor

This project involves the prediction of house prices in Bengaluru city using Decision Tree Regression in Jupyter Notebook. Through this analysis, we aim to build a regression model that accurately predicts house prices based on the given input features.

Language: Jupyter Notebook - Size: 144 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

qtle3/decision-tree-regression

This project implements **Decision Tree Regression** to predict the salary of an employee based on their position level. By using a dataset containing position levels and their corresponding salaries, the project highlights how decision trees can capture complex relationships in data through non-linear regression.

Language: Python - Size: 6.84 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

lukaszfabia/IT-salary-predictor

project for data science

Language: TypeScript - Size: 70.9 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

combax/From-Data-to-Justice

Tree based models to predict Offender Sex and Age in unsolved homicide cases.

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

jhylin/ML2-1_decision_tree

Machine learning series 2.1 on decision tree

Language: Jupyter Notebook - Size: 754 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

Nijil-N/YouTube-Adview-Prediction-using-Machine-Learning-Models

This project is done based on regression models

Language: Jupyter Notebook - Size: 601 KB - Last synced at: 19 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

shreenidhi7700/Auto_Price_Prediction

We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.

Language: Jupyter Notebook - Size: 6.3 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

garvitjain-02/admission-prediction-model

This repository shows ML Model to predict the Admission chances of a student based on some given features. The model is build using the best algorithm out of 4 popular Machine learning algorithms and the best was KNN Algorithm with an accuracy of ~95%. The dataset includes 7 key features for prediction such as GRE Score , University rating, etc.

Language: Jupyter Notebook - Size: 135 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

aman-095/Decision-Tree-Classifier-and-Regressor

Implementation of Decision tree classifier and regressor on Drugs and concrete dataset. Includes knowledge about Information gain and Gini index

Language: Python - Size: 63.5 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

ahmedshahriar/Housing-Price-Prediction

Data science project on Housing Prices Dataset regression analysis

Language: Jupyter Notebook - Size: 422 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

MofokengTT21/ml-decision-tree-regressor

Machine Learning project, using Decision Tree Regressor algorithm for training the model to predict the median value of owner-occupied homes.

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

aws-samples/sagemaker-weather-prediction

This repository contains the files and instructions on using Amazon SageMaker to build linear regression, polynomial regression etc to predict the temperature

Language: Jupyter Notebook - Size: 2.74 MB - Last synced at: 2 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

MayukhBaruah19/Decision-Tree

Language: Jupyter Notebook - Size: 346 KB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

gaurav-bhadane/Diamond_Price_Prediction

Predicting diamond prices using various regression algorithms. This project involves data preprocessing, feature engineering, and model evaluation to determine the best predictor for diamond prices.

Language: Jupyter Notebook - Size: 5.49 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

sharmeen-k/Taxi_Tip_Prediction_SnapML

A decision tree regressor model from SnapML library by IBM was used to predict taxi tips using a dataset from the NYC Taxi and Limousine Commission (TLC). The model was traiined on over 3 million data samples in 0.636 seconds and yielded a mean squared error = 1.62 on test data.

Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

aishwaryagulabthorat/Decision-Tree

The project focuses on predicting the presence of heart disease based on various medical variables such as age, sex, and cholesterol level. Decision tree models are employed for this classification task, exploring both basic and hyperparameter-tuned versions.

Language: Jupyter Notebook - Size: 7.56 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Danishyousuf19/Decision-Tree-and-Random-Forest

This contains all the project in which i have used Decision Trees and Random Forest to Predict output

Language: Jupyter Notebook - Size: 8.17 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

verrenangelinasaputra/Monelytics-Stock-Prediction

Monelytics is a web-based platform utilizing Python for stock prediction purposes. It compares approximately nine machine learning and deep learning models and can predict the closing prices of the big four Indonesian banks

Language: Jupyter Notebook - Size: 28.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

tatianacarcamoreula/Prediccion_de_Precio_Bienes_Raices

Predecir el precio de una casa dependiendo de sus características

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

grachale/predict_life_expect

Predicting life expectancy (regression) with usage of custom random forest, linear regression and decision tree regressor from scikit-learn.

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

diodz/ml-covid

We attempt to model the number of cases of COVID-19 as well as number of deaths from the disease. We combine data on cases from the John Hopkins Coronavirus Resource Center, economic and healthcare system variables from the World Bank, and policy variables from the Oxford’s University Covid-19 Government Response Tracker.

Language: Jupyter Notebook - Size: 62.8 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

manjit-baishya-datascience/NYC-Taxir-Fair-Prediction

This project aims to predict taxi fare amounts in New York City using a dataset of historical taxi rides. We employ machine learning techniques to create models that can estimate the total fare amount based on various features of the trips.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

lakshmid13579/Regressions_Other_Python

Regression models other than linear and multiple in Python

Language: Python - Size: 2.93 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

harshbansal7/profarm-dvh

A 3-Step Web Application, which allows you to perform Crop Prediction and Yield Calculation based on input parameters using Machine Learning

Language: Jupyter Notebook - Size: 84.7 MB - Last synced at: 10 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

gokulharidev/SalaryPredictingModel

This model predict the salary of faculty based on their profile

Language: Python - Size: 43 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Ahmad-Ali-Rafique/Wine-Quality-Dataset

Comprehensive analysis and modeling of the Wine Quality dataset, including exploratory data analysis (EDA), data preprocessing, model training, and performance evaluation using MSE and RMSE.

Language: Jupyter Notebook - Size: 6.11 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Akash1070/BigMart-Sales-Prediction-

Building BigMart Sales Prediction

Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

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: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Niru8449/SuccessSage

Developed student performance predicting model, showing strong understanding of predictive modeling techniques.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

christianduhp/apartment-rent-predictor

This project is a web-based dashboard for predicting apartment rental prices in São Paulo using a machine learning model. The dashboard is built using Dash and Plotly, and it utilizes a RandomForestRegressor model to provide accurate rental price estimates based on various apartment features.

Language: Jupyter Notebook - Size: 2.74 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

DrPoojaAbhijith/Project-Predicting-flight-booking-prices.

Language: Jupyter Notebook - Size: 3.99 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

astonglen/Employee-Attrition

This project analyzes employee attrition data to uncover key factors, predict turnover, and develop strategies for retention, ultimately enhancing organizational stability and performance.

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

dyavadi8769/Student_Performance_Indicator_AWS_CI-CD

This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.

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

merrcury/PRJ_Boston_Housing_ML 📦

In this project, I have predicted prices of houses in the suburbs of Boston by using Machine Learning. Machine learning is achieved using Python 3. The model used for evaluating results is Decision Tree Regression.

Language: Jupyter Notebook - Size: 37.1 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

dyavadi8769/Student_Performance_Indicator_ML_AWS_CI-CD_Pipelines

This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.

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

oliverdantzer/music-generation

Generate classical music

Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

damaniayesh/Analytics-in-Sales

The project provides a predictive model for forecasting product sales at specific stores, aiming to optimize inventory management and enhance profitability by leveraging data-driven insights.

Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ashen007/Tree-based-regression-model

tree-based regression model using NumPy and pandas libraries.

Language: HTML - Size: 4.28 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - 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: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

yuvalofek/py_xgboost

Python implementation of XGBoost trees

Language: Jupyter Notebook - Size: 636 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

AdrijeGuha/Taxi-Tip-Prediction

Using decision tree for New Yorks taxi tip prediction.

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

rahuldkjain/Crop_Prediction

ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authentic datasets of Annual Rainfall, WPI Index for about the previous 10 years. This implementation proved to be promising with 93-95% accuracy.

Language: HTML - Size: 6 MB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 55 - Forks: 27

omarmhaimdat/xgboost_student_performance

Introduction to XGBoost with an Implementation in an iOS Application

Language: Swift - Size: 1.5 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 1

shashwattyagi13/RealStatePricePredictor

It is an ML model that is used to predict the prices of Houses so as to give the best prediction to the company and on the basis of it they can buy and sell houses at right time and make their profit.

Language: Jupyter Notebook - Size: 149 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

purrvaja/Regression-Analysis

Regression analysis to predict the house prices, along with exploratory data analysis answering research questions

Language: Jupyter Notebook - Size: 383 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

TomerWeissGit/LTRCTrees_python

LTRC survival tree for python

Language: Jupyter Notebook - Size: 4.44 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Jecoc907/NBA-Analysis-Project-3

As a follow-up report to project 2, we enhanced our Decision Tree Regression Model by introducing ensemble algorithms, such as Bootstrap, Random Forrest, and XGboosting.

Language: Jupyter Notebook - Size: 488 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

RohitG57/Taxi-Fare-Prediction

Aim of this project is to predict taxi fare based on available data. This dataset contains total 8 variables and 50000 indexes.

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

craigxiangfu/CRP-ML

Code for BU CDS DS 110 Final Project

Language: Jupyter Notebook - Size: 682 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

imehrdadmahdavi/predicting-housing-prices

A predictive machine learning model to guess housing prices using decision tree regression with %90+ accuracy

Language: Jupyter Notebook - Size: 171 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

georgemuriithi/kaggle-competitions

House Prices Prediction and Credit Default Risk Prediction competitions. Advanced decision tree-based regression and classification models are used.

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

AjNavneet/RegressionModels_Numpy_LassoRidgeDT

Regression models(lasso, ridge, DT) using NumPy.

Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

PrajwalVMani/Analysis-of-University-Admission

Predicting Acceptance rate of a Candidate based on multiple factors

Language: Jupyter Notebook - Size: 141 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

am-tropin/poland-apartment-prices

🇵🇱🏠 The project predicts an apartment price for Warsaw, Krakow and Poznan. Distributed apartments by districts using geopandas; built XGBoost model with MAPE = 9% (the best of others).

Language: Jupyter Notebook - Size: 78.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

elmezianech/Food-Delivery-Time-Prediction

This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.

Language: Jupyter Notebook - Size: 138 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

immanuvelprathap/Agriculture-Project

Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

dshah98/Machine_Learning_with_Python

Full machine learning practical with Python.

Language: Jupyter Notebook - Size: 210 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - 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

JoydELC/Decision_trees_classification_regression

Example of decision tress with classification and regression tasks

Language: Jupyter Notebook - Size: 492 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

salim-benhamadi/predicting-house-prices

Predicting California Housing Prices using Decision Tree Regressor

Language: Jupyter Notebook - Size: 361 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

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

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vermansh16/Real-Estate-Price-Predictor-using-ML

Develop a model for prediction of prices for land. Preprocessing steps involved and also created pipeline to automate the process.Different regression algorithms involved for comparison.

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majd30/Flight-Ticket-Price-Prediction-Model

This repository hosts a predictive model designed to estimate flight ticket prices. Using historical flight data, the model employs machine learning algorithms for Regression like : Decision Tree , Random Forest and Linear Regression to forecast ticket prices, aiding travelers in making informed booking decisions and airlines in optimizing pricing

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

Machine Learning algorithms implementation using Python

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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

vaitybharati/Decision-Tree

Decision-Tree

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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

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Related Keywords
decision-tree-regression 252 machine-learning 113 linear-regression 97 python 72 random-forest-regression 66 decision-tree-classifier 42 random-forest 30 regression 30 pandas 29 machine-learning-algorithms 27 scikit-learn 27 decision-trees 26 support-vector-regression 26 xgboost-regression 25 data-science 25 logistic-regression 24 regression-models 24 sklearn 22 polynomial-regression 22 random-forest-regressor 21 gradient-boosting-regressor 18 decision-tree 17 jupyter-notebook 17 python3 17 matplotlib 16 exploratory-data-analysis 16 knn-regression 16 lasso-regression 16 numpy 16 seaborn 16 ridge-regression 15 data-visualization 15 supervised-learning 14 random-forest-classifier 14 gridsearchcv 13 multiple-linear-regression 10 data-analysis 10 scikitlearn-machine-learning 9 machinelearning 9 cross-validation 8 adaboost-regressor 8 randomforestregressor 8 feature-engineering 8 classification 8 r2-score 7 svm 7 feature-selection 7 ml 7 knn-classification 7 matplotlib-pyplot 7 eda 7 house-price-prediction 7 predictive-modeling 7 flask 7 k-means-clustering 7 svm-regressor 6 gradient-boosting 6 data-preprocessing 6 visualization 6 r 6 xgboost 6 regression-algorithms 6 evaluation-metrics 5 prediction 5 classification-algorithm 5 deep-learning 5 feature-scaling 5 price-prediction 5 predictive-analytics 5 elasticnet-regression 5 naive-bayes-classifier 5 artificial-neural-networks 5 support-vector-machine 4 sklearn-library 4 model-evaluation 4 mean-square-error 4 naive-bayes-classification 4 decision-tree-algorithm 4 adaboost 4 regression-analysis 4 standardscaler 4 ensemble-learning 4 supervised-machine-learning 4 support-vector-machines 4 knn 4 knn-classifier 4 classification-models 4 streamlit 4 principal-component-analysis 4 correlation-analysis 4 decision-tree-classification 4 missing-values 4 bagging-regressor 4 time-series 4 machine-learning-models 4 prediction-model 3 datacleaning 3 regression-model 3 model 3 hyperparameter-tuning 3