decision-tree-regression

There are 3 repositories under decision-tree-regression topic.

srafay / Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
datascience dataprocessing machine-learning-algorithms machine-learning-az simple-linear-regression multiple-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regressor classification-algorithims logistic-regression k-nearest-neighbors support-vector-machine kernel-svm naive-bayes-classifier decision-tree-classifier random-forest-classifier k-means-clustering k-means-implementation-in-python
Language:Python 378
Suji04 / ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
youtube-channel knn-algorithm linear-regression logistic-regression gradient-descent stochastic-gradient-descent python decision-tree-classifier decision-tree-regression k-means-clustering
Language:Jupyter Notebook 267
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.
crop price-prediction machine-learning multivariable flask python rainfall wpi dataset decision-tree-regression crop-price-prediction
Language:HTML 59
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
machine-learning algorithm nlp-machine-learning prediction-model datascience linear-regression logisitic-regression polynomial-regression random-forest-regression decision-tree-regression customer-segmentation clustering deep-learning neural-networks model-selection hacktober hactoberfest-accepted hacktoberfest
Language:Jupyter Notebook 42
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).
machine-learning python sklearn numpy pandas multiple-linear-regression polynomial-regression decision-tree-regression random-forest-regression support-vector-regression project aqi india air-quality-index regression-models
Language:Python 14
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
machine-learning machinelearning machine machine-learning-algorithms machine-learning-library machine-learning-models machine-learning-projects machine-learning-tutorials decision-trees decision-tree decision-tree-classifier decision-tree-regression decision-tree-algorithm randomforest randomforestregressor randomforestclassifier random-forest random-forest-classifier random-forest-regression random-forest-regressor
Language:Python 12
leihao1 / Comparison-of-Machine-Learning-Prediction-Models
Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.
knn-classifier svc decision-tree-classifier random-forest adaboost logistic-regression naive-bayes-classifier svr decision-tree-regression guassian-processes linear-regression neural-network evaluation-metrics
Language:Jupyter Notebook 10
omarmhaimdat / xgboost_student_performance
Introduction to XGBoost with an Implementation in an iOS Application
xgboost xgboost-algorithm xgboost-python coremltools ios-app ios-swift swift python machine-learning ensemble-machine-learning decision-tree-regression
Language:Swift 8
bissessk / Regression-Analysis-of-COVID-19
The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.
machine-learning machine-learning-regression scikit-learn scikitlearn-machine-learning regression regression-models linear-regression polynomial-regression ridge-regression svm-regressor decision-tree-regression covid-19 covid19 covid19-data covid-data regression-analysis regression-model
Language:Jupyter Notebook 7
smartinternz02 / SI-GuidedProject-4884-1627462177
Natural Gas Price Prediction System Using IBM Watson services
machine-learning data-science decision-tree-regression random-forest-regression ibm-cloud ibm-watson azure
Language:Jupyter Notebook 7
saichandrareddy1 / Machine_Learning_basics
This is repository about the MachineLaering Basics including all the Machine learning Algorithms
machine-learning-algorithms bas random-forest regression-algorithms classification-algorithm svm random decision-tree-regression knn-algorithm sklearn sklearn-with-svm guassian logistic-regression-algorithm
Language:Jupyter Notebook 6
vamc-stash / Decision-Tree
Implements Decision tree classification and regression algorithm from scratch in Python.
decision-trees decision-tree-classifier decision-tree-regression supervised-learning machine-learning python3 scratch-implementation
Language:Python 6
Joycechidi / MachineLearning
All my Machine Learning Projects from A to Z in (Python & R)
datapreprocessing python r regression simple-linear-regression multiple-linear-regression support-vector-regression--svr polynomial-regression decision-tree-regression random-forest-regression evaluating-regression-models-perf regularization-methods classification logistic-regression k-nearest-neighbors-k-nn support-vector-machine-svm kernel-svm naive-bayes decision-tree-classification random-forest-classification
Language:Jupyter Notebook 5
mahesh147 / Decision-Tree-Regression
Implementation of a 1D Decision Tree Regression model in python.
decision-tree-regression python3 sklearn regression-models machine-learning machine-learning-algorithms
Language:Python 5
omarmhaimdat / WeatherPrediction
Weather Prediction iOS Application Using Flask API and AI
weather flask-api morocco ios swift machine-learning regression decision-tree-regression decision-trees mobile-app
Language:Swift 5
pavankalyan1997 / Machine-Learning-Using-Scikit-learn-and-other-libraries
Machine Learning algorithms implementation using Python
machine-learning sklearn-library linear-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regression logistic-regression knn-classification natural-language-processing artificial-neural-networks principal-component-analysis
Language:Jupyter Notebook 5
agrawal-priyank / Machine-Learning-Models-For-Insurance-Loan-Applicants
Academic project for Advances in Data Science and Architecture course
machine-learning linear-regression classifier-model life-insurance transformations neural-network decision-tree-regression naive-bayes-classification neural-networks loan-data
Language:R 4
asaldelkhosh / Music-Recommender
Implementing a music recommender with decision tree.
decision-tree-classifier decision-tree-regression decision-trees jupyter-notebook machine-learning music-recommendation-system python
Language:Jupyter Notebook 4
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
amazon-sagemaker linear-regression polynomial-regression decision-tree-regression cartesian-tree
Language:Jupyter Notebook 4
coderjolly / football-player-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.
machine-learning data-analysis data-visualization decision-tree-regression xgboost-regression
Language:Jupyter Notebook 4
georgemuriithi / shale-gas-wells
The Korea National Oil Corporation was interested in purchasing shale gas wells from the United States and wanted to predict their production to select wells that maximize profit.
decision-tree-regression exponential-smoothing gurobi-optimization machine-learning python time-series-forecasting
Language:Jupyter Notebook 4
joaqrus / EnergyDissagregation
Segmentación Energía usando dataset REDD y varios algoritmos incluidos Neural Network
nilm deep-neural-networks decision-tree-regression
Language:Jupyter Notebook 4
tanmay-d-shah / Crop_Price_Prediction_Dashboard
A ReactJS based dashboard predicting crop prices using Decision Tree Regression Algorithm.
reactjs nodejs machine-learning decision-tree-regression price-prediction
Language:CSS 4
XavierCarrera / Tutorial-Machine-Learning-Arboles
Los árboles de decisión son uno de los algoritmos clásicos de machine learning ya que nos ayudan a visualizar las predicciones hechas por nuestro modelo. En este tutorial vemos su uso para regresiones lineares y clasificación, así como herramientas de ensamble como bagging y boosting.
data-science machine-learning decision-trees decision-tree-classifier decision-tree-regression ensemble boosting bagging
Language:Jupyter Notebook 4
Akash1070 / BigMart-Sales-Prediction-
Building BigMart Sales Prediction
bigmart-sales-prediction decision-tree-regression exploratory-data-analysis feature-engineering linear-regression python3 random-forest-regression xgboost-model
Language:Jupyter Notebook 3
anewt225 / Decoding-the-Digital-Divide
This project analyzes the impact of the broadband and device digital divide upon educational assessment outcomes for math and reading/language arts in K-12 public School Districts across the United States. Completed as a Capstone project for graduation from Flatiron School.
broadband-access school-district impact digital-divide coronavirus education census census-data data-science portfolio flatiron-school scikit-learn python decision-tree-regression
Language:Jupyter Notebook 3
bhattbhavesh91 / decision-tree-regression
Simple example demonstrating Regression using Decision Trees
decision-tree-regression decision-tree decision-trees python regression-trees
Language:Jupyter Notebook 3
DevDerpi / ML-VideoGameSalesPrediction
Global video game sales prediction from year 2008 to 2014 approximately using linear regression and decision tree regression with manipulating min_sample_split hyperparameter to achieve higher accuracy /lower overfitting
decision-tree-regression regression-model linear-regression hyperparameter-tuning tree machine-learning
Language:Python 3
JTP75 / Time-Series-Forecasting-UPMC
Machine Learning-based research for UPMC
applied-machine-learning arima autoregressive-neural-networks bioinformatics decision-tree-regression deep-learning machine-learning neural-networks research-paper research-project time-series-forecasting
Language:MATLAB 3
Manaliagarwal / Walmart-Sales-Forcasting
A regression based modeling project to forecast the sales of Walmart
linear-regression adaboosting random-forest decision-tree-regression gradient-boosting statsmodel svc
Language:Jupyter Notebook 3
mtasgetiren / Car-Prices-Prediction
Prediction of car prices using data from sahibinden.com
regression decision-tree-regression randomforestregressor webscraper
Language:Jupyter Notebook 3
mukulsinghal001 / USA-Housing-Price-Prediction
In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
regression-algorithms linear-regression regression regression-model regression-analysis linearregression decision-tree-regression knn-regression xgboost-algorithm hyperparameter-optimization cross-validation
Language:Jupyter Notebook 3
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.
decision-tree-regression
Language:Jupyter Notebook 3
skynoid2612 / 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
data-science machine-learning-algorithms machinelearning-r machine-learning-models machine-learning-regression exploratory-data-analysis missing-values feature-selection feature-scaling knn-regression knn-model decision-tree-regression random-forest-regression linear-regressor data-analysis data-visualization
Language:Jupyter Notebook 3
yashjshah / Employee-Data-Analysis
Analytical tool to help the company decide whether the employee will stay or not
analysis analytics r logistic-regression hypothesis-testing prediction predictive predictive-modeling predictive-analytics aic auc-roc-curve boruta decision-trees decision-tree decision-making decision-tree-classifier decision-tree-algorithm decision-tree-regression tree-pruning svm
Language:R 3
gokulharidev / SalaryPredictingModel
This model predict the salary of faculty based on their profile
decision-tree-regression
Language:Python 2

decision-tree-regression

srafay / Machine_Learning_A-Z

Suji04 / ML_from_Scratch

rahuldkjain / Crop_Prediction

eaglewarrior / Machine-learning

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

emirhanai / Machine-Learning-Software-that-predicts-planets-based-on-their-distance-from-the-sun-number-of-sate

leihao1 / Comparison-of-Machine-Learning-Prediction-Models

omarmhaimdat / xgboost_student_performance

bissessk / Regression-Analysis-of-COVID-19

smartinternz02 / SI-GuidedProject-4884-1627462177

saichandrareddy1 / Machine_Learning_basics

vamc-stash / Decision-Tree

Joycechidi / MachineLearning

mahesh147 / Decision-Tree-Regression

omarmhaimdat / WeatherPrediction

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

agrawal-priyank / Machine-Learning-Models-For-Insurance-Loan-Applicants

asaldelkhosh / Music-Recommender

aws-samples / sagemaker-weather-prediction

coderjolly / football-player-prediction

georgemuriithi / shale-gas-wells

joaqrus / EnergyDissagregation

tanmay-d-shah / Crop_Price_Prediction_Dashboard

XavierCarrera / Tutorial-Machine-Learning-Arboles

Akash1070 / BigMart-Sales-Prediction-

anewt225 / Decoding-the-Digital-Divide

bhattbhavesh91 / decision-tree-regression

DevDerpi / ML-VideoGameSalesPrediction

JTP75 / Time-Series-Forecasting-UPMC

Manaliagarwal / Walmart-Sales-Forcasting

mtasgetiren / Car-Prices-Prediction

mukulsinghal001 / USA-Housing-Price-Prediction

shaadclt / House-Price-Prediction-DecisionTreeRegressor

skynoid2612 / Employee_Absenteeism

yashjshah / Employee-Data-Analysis

gokulharidev / SalaryPredictingModel