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 393
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 314
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 81
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 46
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 21
Dalageo / ML-GasSensorDrift
Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️
data-science decision-tree-regression gas-sensor-calibration gas-sensor-datasets machine-learning optuna predictive-maintenance python random-forest-regression scikit-learn xgboost-regression
Language:Jupyter Notebook 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 13
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 11
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 8
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
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 8
Chandrakant817 / Calories-Burned-Prediction
Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)
calories-burned decision-tree-regression linear-regression random-forest-regression xgboost-regression
Language:Jupyter Notebook 6
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 6
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 6
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-tree-classifier decision-tree-regression decision-trees machine-learning python3 scratch-implementation supervised-learning
Language:Python 6
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 6
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.
machine-learning data-analysis data-visualization decision-tree-regression xgboost-regression
Language:Jupyter Notebook 5
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 5
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
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
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
joaqrus / EnergyDissagregation
Segmentación Energía usando dataset REDD y varios algoritmos incluidos Neural Network
nilm deep-neural-networks decision-tree-regression
Language:Jupyter Notebook 4
mtasgetiren / Car-Prices-Prediction
Prediction of car prices using data from sahibinden.com
regression decision-tree-regression randomforestregressor webscraper
Language:Jupyter Notebook 4
Preetirai-tech / Bike-Sharing-Demand-Prediction
This project aims to develop a machine learning model to predict bike-sharing demand based on various factors such as weather conditions, time of day, and historical usage patterns. The dataset used for this project consists of 8760 records and 14 attributes.
elasticnet-regression lasso-regression maachine-learning python ridge-regression adaboost decision-tree-regression gridsearchcv hyperparameter-tuning knn-regression lightgbm random-forest randomsearch-cv svm-regressor xgboost-regression
Language:Jupyter Notebook 4
suriya-1403 / Natural-Gas-Price-Prediction-System
Natural Gas Price Prediction System Using IBM Watson services
random-forest-regressor decision-tree-regression azure ibm-watson ibm-cloud data-science
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
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
AmirMotefaker / Predicting-Sales-Ecommerce
Sales forecast for managing cash flow in the future.
pandas matplotlib numpy seaborn ecommerce prediction sales decision-tree-regression decision-tree linear-regression random-forest random-forest-classifier
Language:Jupyter Notebook 3
asaldelkhosh / Music-Recommender
Implementing a music recommender with decision tree.
jupyter-notebook machine-learning music-recommendation-system python decision-tree-classifier decision-tree-regression decision-trees
Language:Jupyter Notebook 3
Mohshaikh23 / Retail-Price-Optimization
Retail Price Optimization using Python
datascience-machinelearning decision-tree-regression machine-learning supervised-machine-learning
Language:Jupyter Notebook 3
PriyankaSett / predicting_instagram_likes
The aim of this work is to predict number of instagram likes. The text vectorization is done using TF-IDF Vectorizer.
decision-tree-regression knn-regression lasso-regression linear-regression nltk pandas python random-forest-regression regression-analysis seaborn text-data tf-idf wordninja
Language:Jupyter Notebook 3
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.
decision-tree-regression flask flask-application machine-learning prediction random-forest-regressor regression svr-regression-prediction xgboost-regression
Language:Python 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

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

Dalageo / ML-GasSensorDrift

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

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

bissessk / Regression-Analysis-of-COVID-19

omarmhaimdat / xgboost_student_performance

smartinternz02 / SI-GuidedProject-4884-1627462177

Chandrakant817 / Calories-Burned-Prediction

mukulsinghal001 / USA-Housing-Price-Prediction

omarmhaimdat / WeatherPrediction

saichandrareddy1 / Machine_Learning_basics

vamc-stash / Decision-Tree

XavierCarrera / Tutorial-Machine-Learning-Arboles

coderjolly / player-market-value-prediction

georgemuriithi / shale-gas-wells

Joycechidi / MachineLearning

mahesh147 / Decision-Tree-Regression

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

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

aws-samples / sagemaker-weather-prediction

joaqrus / EnergyDissagregation

mtasgetiren / Car-Prices-Prediction

Preetirai-tech / Bike-Sharing-Demand-Prediction

suriya-1403 / Natural-Gas-Price-Prediction-System

tanmay-d-shah / Crop_Price_Prediction_Dashboard

Akash1070 / BigMart-Sales-Prediction-

AmirMotefaker / Predicting-Sales-Ecommerce

asaldelkhosh / Music-Recommender

Mohshaikh23 / Retail-Price-Optimization

PriyankaSett / predicting_instagram_likes

samagra44 / Zomato-Delivery-Time-Prediction

shaadclt / House-Price-Prediction-DecisionTreeRegressor