Topic: decision-tree-regression Goto Github
Some thing interesting about decision-tree-regression
Some thing interesting about decision-tree-regression
decision-tree-regression,Academic project for Advances in Data Science and Architecture course
User: agrawal-priyank
decision-tree-regression,Data science project on Housing Prices Dataset regression analysis
User: ahmedshahriar
decision-tree-regression,Building BigMart Sales Prediction
User: akash1070
decision-tree-regression,Sales forecast for managing cash flow in the future.
User: amirmotefaker
decision-tree-regression,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.
User: anewt225
decision-tree-regression,In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).
User: anindya-das02
decision-tree-regression,Data Mining and Business Intelligence
User: arpan-k09
decision-tree-regression,Implementing a music recommender with decision tree.
User: asaldelkhosh
decision-tree-regression,This repository contains the files and instructions on using Amazon SageMaker to build linear regression, polynomial regression etc to predict the temperature
Organization: aws-samples
decision-tree-regression,Simple example demonstrating Regression using Decision Trees
User: bhattbhavesh91
decision-tree-regression,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.
User: bissessk
decision-tree-regression,Diamond Price Prediction Using Machine Learning (Regression Use Case)
User: chandrakant817
decision-tree-regression,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.
User: coderjolly
decision-tree-regression,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
User: devderpi
decision-tree-regression, This project aims to develop a predictive model estimating insurance coverage costs for customers based on their attributes and product choices. The dataset includes transaction and quote details for policy purchasers. The objective is to predict quoted coverage costs, considering customer traits and 7 customizable product options.
User: dharmikbanka23
decision-tree-regression,This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
User: eaglewarrior
decision-tree-regression,Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
User: emirhanai
decision-tree-regression,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.
User: georgemuriithi
decision-tree-regression,Decision Tree is a decision-making tool that uses a flowchart-like tree structure or is a model of decisions and all of their possible results, including outcomes, input costs and utility. Decision-tree algorithm falls under the category of supervised learning algorithms. It works for both continuous as well as categorical output variables.Decision tree regression observes features of an object and trains a model in the structure of a tree to predict data in the future to produce meaningful continuous output. Continuous output means that the output/result is not discrete, i.e., it is not represented just by a discrete, known set of numbers or values.
User: girirajv10
decision-tree-regression,A 3-Step Web Application, which allows you to perform Crop Prediction and Yield Calculation based on input parameters using Machine Learning
User: harshbansal7
decision-tree-regression,Segmentación Energía usando dataset REDD y varios algoritmos incluidos Neural Network
User: joaqrus
decision-tree-regression,All my Machine Learning Projects from A to Z in (Python & R)
User: joycechidi
decision-tree-regression,Machine Learning-based research for UPMC
User: jtp75
decision-tree-regression,machine learning regression
User: kodekarim
decision-tree-regression,Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.
User: leihao1
decision-tree-regression,Implementation of a 1D Decision Tree Regression model in python.
User: mahesh147
decision-tree-regression,A regression based modeling project to forecast the sales of Walmart
User: manaliagarwal
decision-tree-regression,This Repository Contains Different Machine Learning and Important Concepts
User: mayank0rastogi
decision-tree-regression,Prediction of car prices using data from sahibinden.com
User: mtasgetiren
decision-tree-regression,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.
User: mukulsinghal001
decision-tree-regression,Weather Prediction iOS Application Using Flask API and AI
User: omarmhaimdat
Home Page: https://heartbeat.fritz.ai/weather-prediction-ios-application-using-flask-api-and-ai-e7f1c6691dae
decision-tree-regression,Introduction to XGBoost with an Implementation in an iOS Application
User: omarmhaimdat
decision-tree-regression,Machine Learning algorithms implementation using Python
User: pavankalyan1997
decision-tree-regression,The aim of this work is to predict number of instagram likes. The text vectorization is done using TF-IDF Vectorizer.
User: priyankasett
decision-tree-regression,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.
User: rahuldkjain
decision-tree-regression,This is repository about the MachineLaering Basics including all the Machine learning Algorithms
User: saichandrareddy1
decision-tree-regression,Predicting California Housing Prices using Decision Tree Regressor
User: salim-benhamadi
decision-tree-regression,This repository covers my code using regression models to predict if a customer would be exiting a bank or not. It also capture the use classification models to classify if a customer has left the bank or not (binary classification).
User: sayo2rule
decision-tree-regression,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
User: skynoid2612
decision-tree-regression,Natural Gas Price Prediction System Using IBM Watson services
User: smartinternz02
Home Page: https://natural-gas-price-prediction-system.azurewebsites.net/
decision-tree-regression,Supervised classification algorithms employed to explore and identify Higgs bosons from particle collisions, like the ones produced in the Large Hadron Collider. HIGGS dataset is used..
User: sohailahmedkhan
decision-tree-regression,Learning to create Machine Learning Algorithms
User: srafay
decision-tree-regression,Implementation of basic ML algorithms from scratch in python...
User: suji04
Home Page: https://www.youtube.com/NormalizedNerd
decision-tree-regression,Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home
User: sushantdhumak
decision-tree-regression,A ReactJS based dashboard predicting crop prices using Decision Tree Regression Algorithm.
User: tanmay-d-shah
Home Page: https://crop-price-prediction-dash.herokuapp.com
decision-tree-regression,Predicting developer's salary from Stack Overflow Annual Developer Survey (https://insights.stackoverflow.com/survey)
User: tien02
decision-tree-regression,Implements Decision tree classification and regression algorithm from scratch in Python.
User: vamc-stash
decision-tree-regression,Project done by me.
User: vetlapavankalyan
decision-tree-regression,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.
User: xaviercarrera
decision-tree-regression,Analytical tool to help the company decide whether the employee will stay or not
User: yashjshah
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