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Topic: "decision-tree-regression"

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: 6 days ago - Pushed at: about 4 years ago - Stars: 389 - Forks: 195

Suji04/ML_from_Scratch

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

Language: Jupyter Notebook - Size: 540 KB - Last synced at: 25 days ago - Pushed at: over 4 years ago - Stars: 300 - Forks: 231

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

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

Language: Jupyter Notebook - Size: 27 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 41 - Forks: 37

Dalageo/ML-GasSensorDrift

Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 11 - Forks: 0

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).

Language: Python - Size: 354 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 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

Language: Python - Size: 1.02 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 1

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

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.

Language: Jupyter Notebook - Size: 237 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 5

saichandrareddy1/Machine_Learning_basics

This is repository about the MachineLaering Basics including all the Machine learning Algorithms

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 5

omarmhaimdat/WeatherPrediction

Weather Prediction iOS Application Using Flask API and AI

Language: Swift - Size: 1.86 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

vamc-stash/Decision-Tree

Implements Decision tree classification and regression algorithm from scratch in Python.

Language: Python - Size: 44.6 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 4

smartinternz02/SI-GuidedProject-4884-1627462177

Natural Gas Price Prediction System Using IBM Watson services

Language: Jupyter Notebook - Size: 33.1 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 3

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.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 2

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

Machine Learning algorithms implementation using Python

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 6

mahesh147/Decision-Tree-Regression

Implementation of a 1D Decision Tree Regression model in python.

Language: Python - Size: 1.95 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 2

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: 5 days ago - Pushed at: about 2 years ago - Stars: 4 - 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: 22 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

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.

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 4

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

Academic project for Advances in Data Science and Architecture course

Language: R - Size: 11.7 KB - Last synced at: 13 days ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 6

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.

Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 2

asaldelkhosh/Music-Recommender

Implementing a music recommender with decision tree.

Language: Jupyter Notebook - Size: 301 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

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: 3 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

Akash1070/BigMart-Sales-Prediction-

Building BigMart Sales Prediction

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

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

Language: Jupyter Notebook - Size: 2.7 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 3

bhattbhavesh91/decision-tree-regression

Simple example demonstrating Regression using Decision Trees

Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

Manaliagarwal/Walmart-Sales-Forcasting

A regression based modeling project to forecast the sales of Walmart

Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

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.

Language: Jupyter Notebook - Size: 732 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - 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: 3 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 5

yashjshah/Employee-Data-Analysis

Analytical tool to help the company decide whether the employee will stay or not

Language: R - Size: 151 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - 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

LuluW8071/Laptop-Price-Prediction

A collection of machine learning models for predicting laptop prices

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

VetlaPavanKalyan/MumbaiHousingProject

Project done by me.

Language: Jupyter Notebook - Size: 6.95 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - 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: 11 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

SNAILGROUP-AI/STUDY-ML

머신러닝 알고리즘 학습 내용 정리

Size: 85.9 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

sanjushasuresh/DECISION-TREES-ASSIGNMENT-14-Q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using decision trees.

Language: Python - Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

sanjushasuresh/DECISION-TREES-ASSIGNMENT-14-Q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using decision trees.

Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - 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

bhattbhavesh91/dtreeviz-tutorial

Visualize a Decision Tree using dtreeviz

Language: Jupyter Notebook - Size: 195 KB - Last synced at: 25 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

ahmedshahriar/Housing-Price-Prediction

Data science project on Housing Prices Dataset regression analysis

Language: Jupyter Notebook - Size: 422 KB - Last synced at: 14 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

0x65-e/Kokomo

Kokomo is a competitor robot built for Robocode that uses regression tree based machine learning (called "Dynamic Segmentation" on the Robocode wiki) for its targeting strategy

Language: Java - Size: 30.3 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Arminkhayati/Machine_learning_lec

My Machine Learning course projects

Language: Jupyter Notebook - Size: 13.6 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

Dipankar-Medhi/prediction_using_Decision_Tree

This repo contains the solution to the Sparks Foundation Internship problem.

Language: Jupyter Notebook - Size: 201 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

mayank0rastogi/MACHINE-LEARNING-ALGORITHMS

This Repository Contains Different Machine Learning and Important Concepts

Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

AdityaaRavi/Machine-Learning-notes-dump

I am learning ML using Kaggle Tutorials... This is the bitbucket for my notes.

Size: 1.92 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

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

kodekarim/Regression

machine learning regression

Language: Python - Size: 10.7 KB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1

lukaszfabia/IT-salary-predictor

project for data science

Language: TypeScript - Size: 70.9 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - 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: 10 months ago - Stars: 1 - 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: 3 months ago - Pushed at: 10 months ago - Stars: 1 - 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

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: 12 months ago - Pushed at: 12 months ago - Stars: 1 - 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

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: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Sineme01/House-Rate-Predictor

House Rate Predictor

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

sayo2rule/bank-churning-with-machine-learning

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).

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Devbijwe/Retail-Price-Optimizations

This GitHub repository contains a Python script for predicting retail product prices using a Decision Tree Regressor model.

Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Ricardo711/Data-Science-Data-Engineering-portfolio

Portfolio of ML and Deep learning using python.

Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

AmirMotefaker/Predicting-Sales-Ecommerce

Sales forecast for managing cash flow in the future.

Language: Jupyter Notebook - Size: 8.27 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

dharmikbanka23/Insurance-Product-Purchase-Prediction

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.

Language: Jupyter Notebook - Size: 2.67 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

yacine-benbaccar/Detection-of-Changepoints-in-Time-Series

Implementing a Decision Tree Regression approach for the detection of change-points in a Time Series

Language: Python - Size: 1.15 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

JTP75/Time-Series-Forecasting-UPMC

Machine Learning-based research for UPMC

Language: MATLAB - Size: 342 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Deepanivasini/Customer_Lifetime_prediction

Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

tien02/salary-prediction

Predicting developer's salary from Stack Overflow Annual Developer Survey (https://insights.stackoverflow.com/survey)

Language: Jupyter Notebook - Size: 4.26 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

wkrzywiec/polish-crops

Machine learning project to find out if price of a wheat in Poland depends on a weather.

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

PaletiKrishnasai/Analytics_of_crimes_in_India

Detailed data analysis followed by predictive analytics of crimes in india over a period of 2001-2013.

Language: Jupyter Notebook - Size: 8.31 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

sofiapasquini/Cs9860A-Final-Project

Final Project for CS 9860A- Advanced Machine Learning; using regression techniques to predict housing prices using the House Price- Advanced Regression Techniques Kaggle dataset

Language: Jupyter Notebook - Size: 930 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years 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

tex216/Assess-Learners-of-Machine-Learning

Implemented four supervised learning Machine Learning algorithms from an algorithmic family called Classification and Regression Trees (CARTs), details see README_Report.

Language: Python - Size: 14.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

JeewHiddala/ML_movie_gross_prediction Fork of Isira-Uditha/ML_Assignment2_IT19017334_IT19028156_IT19059150_IT19007502

Size: 573 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - 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

derinsu1/Decision_Tree_Regression

Decision Tree Regression algorithm implemented on Python from scratch.

Language: Python - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

lperconti/Visitation

Visitation Modeling - Capstone Project for Flatiron DataScience Bootcamp. In this project, I look at three winter resorts and utilize weather and event data to predict visitation for each resort. Uses Machine Learning (Regression) analysis to make predictions.

Language: Jupyter Notebook - Size: 21.3 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - 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

Raj-7799/Boston-Housing

The project aims at predicting the selling price of Boston Housing by leveraging Machine Learning techniques and historical data.

Language: Jupyter Notebook - Size: 714 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

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

Natural Gas Price Prediction System Using IBM Watson services

Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

RanjanRavi2398/Heart-Failure-Using-Clinical-Record-Set

Implementation of machine learning algorithm on clinical record dataset

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Shandy100/FlightPrice-Testrun

Machine Learning Model.

Language: Jupyter Notebook - Size: 265 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

PoojaDasIndia/Portfolio-Projects

Portfolio Project About Data Analysis and Data Visualization. Different project Created and written in Python, Excel, POWER BI, Tableau, SQL Server

Language: Jupyter Notebook - Size: 18.1 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

AaronOS0/decision-tree-regression

Decision tree regression implementation by MATLAB.

Language: MATLAB - Size: 1.96 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

tejaslinge/Marketing-Analysis

This project demonstrates how to perform EDA on marketing campaign data and make future marketing performance predictions

Language: Jupyter Notebook - Size: 4.61 MB - Last synced at: over 2 years ago - Pushed at: about 4 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

itsayushthada/Frequency-Modelling

This is the project work related to the modelling of Frequency and associated parameters using Machine Learning.

Language: HTML - Size: 12.6 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

iamkirankumaryadav/Predictive-Analytics

Predictive Analytics

Language: Jupyter Notebook - Size: 315 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

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: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

amit-timalsina/California-Housing-Price-Prediction

I have built a Model using the Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

JingweiToo/Machine-Learning-Regression-Toolbox

This toolbox offers 7 machine learning methods for regression problems.

Language: Python - Size: 49.8 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 3

vaitybharati/Decision-Tree

Decision-Tree

Language: Jupyter Notebook - Size: 146 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 3

Souvik97-droid/Machine-Learning-Project-on-Stock-Market-Prediction-

The Main Purpose of this project is to predict the closing point of a particular stock. This project involves two supervised learning algorithms i.e. multiple linear regression and decision tree regressor. Both of them have different accuracy score. I got 99.9 accuracy by using multiple linear regression and 97% by using decision tree regressor

Language: Jupyter Notebook - Size: 94.7 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

chandramouli224/Machine_Learning_Projects-on-CALCOFI-DATA

This is my ML projects repository

Language: Jupyter Notebook - Size: 476 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

dlee0528/Iris-Species-Machine-Learning

To classify iris plants into three species and make predictions using Softmax Regression with a dataset

Language: Jupyter Notebook - Size: 438 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

sohailahmedkhan/Searching-for-exotic-particles-in-high-energy-physics-using-classic-supervised-learning-algorithms

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.​.

Language: Python - Size: 10.7 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

vaibhavz2402/house_price_prediction

With 79 explanatory variables describing (almost) every aspect of residential homes I predicted the final price of each home.

Language: Jupyter Notebook - Size: 5.85 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1

AkashSaxenaOfficial/Bike_Renting

The objective of this project is to predication of bike rental count on daily based on the environmental and seasonal settings. As it gets easy for an organisation to arrange the resource if the demand spikes.

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

sudhanshu182004/ml-from-scratch

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

Size: 1.95 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

fazeelibtesam/BagPackPrediction

My kaggle competition playground series model

Size: 6.12 MB - Last synced at: 10 days ago - Pushed at: 10 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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

Assignment 2 - Elements of Data Processing

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raghavendranhp/Industrial_copper_modelling

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

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