JuzerShakir/Predicting_Boston_Housing_Prices 📦

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

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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).

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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

asaldelkhosh/Music-Recommender

Implementing a music recommender with decision tree.

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16danielvm/How-to-improve-the-accuracy-of-a-Regression-Model

This project shows a guide for improving the accuracy of regression model.

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kailash-turimella/Regression-Using-Python

Machine Learning Models using Python (Regression)

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YasmineJedidi/Data-Analytics-Python-Projects-Set1

This is set one of my data analytics projects with python (beginners set). It covers basics like data cleaning, correlation, descriptive statistics, as well beginner projects for KNN classification and regression, decision trees, and random forest.

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Yarlagadda-saimanoj/WineQualityPredictor-ML

WineQualityPredictorML is a comprehensive machine learning toolkit for predicting and assessing wine quality. Explore advanced regression models, SVM, and decision trees for insightful wine quality analysis.

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Devbijwe/Retail-Price-Optimizations

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

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Simrank23/Flight-Booking-Price-Prediction

The objective is to analyze the flight booking dataset obtained from a platform which is used to book flight tickets. A thorough study of the data will aid in the discovery of valuable insights that will be of enormous value to passengers. Apply EDA, statistical methods and Machine learning algorithms in order to get meaningful information from it.

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Ricardo711/Data-Science-Data-Engineering-portfolio

Portfolio of ML and Deep learning using python.

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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).

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rrambhia22/Regression-Predictive-Modeling-and-Analysis-of-Bitcoin-Hashrate

The primary objective of this study is to develop a dependable and precise prediction model to forecast alterations in Bitcoin's hash rate.

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ShreyaPatil1199/Big_Mart_Sales_Prediction

Big Mart Sales Prediction is a data-driven project aiming to forecast product sales accurately across Big Mart outlets. Leveraging machine learning and comprehensive datasets, our project empowers retailers to optimize inventory, enhance profitability, and make informed decisions in the dynamic world of retail.

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nehanawar025/Red_Wine_Quality_Prediction_Project

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jjrodcast/Trabajo-Machine-Learning

Course work of Introduction to Machine Learning - PUCP - Diplomate of Artificial Intelligence - 2020

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Ola76/Dairy_Goods_Sales_Database

The Dairy Goods Sales Dataset provides a detailed and comprehensive collection of data related to dairy farms, dairy products, sales, and inventory management.

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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.

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farooqueesamiya/Regression-Models-for-Salary-Prediction

In this repository, we will investigate various regression models to predict whether an individual being interviewed is misrepresenting their salary.

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ShreyaPatil1199/Laptop-Price-Predictor

Predict laptop prices using machine learning. This project leverages multiple linear regression to achieve an 82% prediction precision. Explore the influence of features like brand, specs, and more on laptop prices.

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GunturWibawa/SpotifyPopularityProbe

In the digital music era, understanding artist popularity on Spotify is vital. This project taps into Spotify's data, analyzing key factors driving artist prominence. Through our insights, we illuminate what sets successful artists apart in this dynamic platform.

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Chandrakant817/Diamond-Price-Prediction

Diamond Price Prediction Using Machine Learning (Regression Use Case)

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Chandrakant817/Calories-Burned-Prediction

Calories-Burned-Prediction Using Machine Learning. (Regression Use Case)

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

Natural Gas Price Prediction System Using IBM Watson services

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Shandy100/FlightPrice-Testrun

Machine Learning Model.

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beatabb/Matrix_DW

na podstawie kursu "Matrix - poznaj reguły gry", stworzonego przez DataWorkshop

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Gopinathalpha7/Machin-Learning_Notes

[ Simple steps to learn Machine learning models ]

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vahadruya/Capstone_Regression_NYC_Taxi_Trip_Duration_Prediction

This project aims to predict the Taxi-trip duration within NYC based on several factors as predictors. Various combinations of relevant features are explored as iterations. After analysing the dataset, important and necessary features are selected. Several regression models are implemented & evaluated based on R2 & RMSE, & predictions visualised

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AaronOS0/decision-tree-regression

Decision tree regression implementation by MATLAB.

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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.

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SajalSinha/Bike_sharing_demand

Deployed a predictive model using decision tree regressor

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Hk669/World-Happiness-Report

The World Health Report provides comprehensive data on various health-related factors from different countries around the world.

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iqbal1526/Karachi-House-Price-Prediction

This repository contains files for analyzing and deployment of a machine learning model to predict real estate prices.

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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.

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Coder-Chitta/Machine-Learning-Hands-On-Regression-

Regression

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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.

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iamkirankumaryadav/Predictive-Analytics

Predictive Analytics

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pariosur/avance_bpo

Predicting the recovery rates on non-performing loans (NLP) using a private database from a debt collection agency. Freelance project.

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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.

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Palemravichandra/Electricity-Prediction

Electrical_Power_Generation_Prediction

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Palemravichandra/Laptop_Price_Prediction

Laptop_Price_Prediction

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tien02/salary-prediction

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

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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.

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NAVEENDATAANALYST/HOTEL-RESERVATIONS-PREDICTION-IN-R

CAN U PREDICT CORRECTLY WHETHER A CUSTOMER WILL CANCEL THE RESERVATION?? You can find the dataset from this kaggle website: https://www.kaggle.com/datasets/ahsan81/hotel-reservations-classification-dataset

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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

riccmon/Machine-Learning

Lab sessions of the Machine Learning course of the Artificial Intelligence Master's degree at UniBo

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amondalgit/DMML23-assignments

Data Mining Machine Learning | Assignments | JAN-APR 2023 | CMI

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JTP75/Time-Series-Forecasting-UPMC

Machine Learning-based research for UPMC

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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.

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GvHemanth/Predicting--House-Prices---Linear-Reg--Decision-Trees

Predicting the variables that are highly responsible for house prices in delhi using Linear Regression and decision trees Model.

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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

Sid-149/Life-Expectancy-Predictor-Comparative-Analysis

This project presents a comparative analysis of life expectancy between developed and developing countries with the help of a Supervised Machine Learning model.

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bogumilo/house-prices-xgboost

House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression

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SedemBuabs/ML-Project-Predicting-Cooling-Loads-of-Buildings

The use of Machine Learning Regression models for predicting energy loads of buldings.

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ramzimimou/Classification-social-network-ads

Classification using Naive Bayes, Decision Tree and KNN algorithms

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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.

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itsayushthada/Frequency-Modelling

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

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AmirMotefaker/Predicting-Sales-Ecommerce

Sales forecast for managing cash flow in the future.

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wkrzywiec/polish-crops

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

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AdityaaRavi/Machine-Learning-notes-dump

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

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VetlaPavanKalyan/MumbaiHousingProject

Project done by me.

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sairbarbaros/House_Price_Predictor

Predict house prices with over 75% accuracy using decision tree regression algorithm. The dataset is in repo.

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SNAILGROUP-AI/STUDY-ML

머신러닝 알고리즘 학습 내용 정리

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vamc-stash/Decision-Tree

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

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HanifaElahi/Machine-Learning

MACHINE LEARNING ALGORITHMS

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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.

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bhattbhavesh91/dtreeviz-tutorial

Visualize a Decision Tree using dtreeviz

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SamitUttarkar/Diabates-Prediction

Predicting likelihood of getting Diabetes and various parameters using Logistic regression and Decision tree regressor

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Sineme01/House-Rate-Predictor

House Rate Predictor

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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

kpsijil2/Cement-Manufacturing

Predicting cement strength

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amira921/ML-Algorithms-Implementation

Implement machine learning algorithms from scratch using python

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smartinternz02/SI-GuidedProject-4884-1627462177

Natural Gas Price Prediction System Using IBM Watson services

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kpsijil2/Big-Mart-Sales

Predicting Big mart sales

Language: Python - Size: 1.36 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

yeargun/Decision-Tree-ID3

Decision Tree implementation with ID3 algorithm, multiway split, python

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Mahimitra/SDM_FinalProject_GarmentEmployee-Productivity

Regression techniques

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bdfd/Project_02-House_Model_Price_Prediction

Project 02 - House Price Prediction.Also included a few resources on side that I found helpful.

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bdfd/Portfolio_Project_12-Position_Salary_Prediction

Person Side Project Portfolio 12 - Position Salary Prediction. Also included a few resources on side that I found helpful.

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roshancyriacmathew/Decision-tree-tutorial

This code explains how to create and customize decision trees in python.

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PoojaDasIndia/Portfolio-Projects

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

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Arminkhayati/Machine_learning_lec

My Machine Learning course projects

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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.

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RanjeetKumbhar01/WW2-Temperature-Regression

Weather Conditions in WW2 with Linear Reg ,Lasso Reg, Decision Tree Reg, Random Forest Reg, XGBoost Reg, Bagging Reg, Neural Network

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ShamikRana/House-Price-Prediction-Using-Regression-Model

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saichandrareddy1/Machine_Learning_basics

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

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FaraazArsath/Decision-Tree

This repository includes examples for Decision Tree Classification and Decision Tree Regression.

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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: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

federicariva/MidbootcampProject

Ironhack Data Analytics Mid-Bootcamp project

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AAnirudh07/HR-Allocation-Application Fork of SowmyaaRamesh/HR-Allocation-Application

Implementation of an optimal project staffing system.

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kodekarim/Regression

machine learning regression

Language: Python - Size: 10.7 KB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 1

anirudhrealdeal/DragonRealEstate

Machine Learning model to predict the price of a house taking a few parameters like crime rate, number of rooms etc. Uses a pre-existing dataset from the UCI ML repository for training the model.

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Moez7/Projet-Preparation-metier-P2M-

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JeewHiddala/ML_movie_gross_prediction Fork of Isira-Uditha/ML_Assignment2_IT19017334_IT19028156_IT19059150_IT19007502

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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.

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PaletiKrishnasai/Analytics_of_crimes_in_India

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

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harjeet-blue/Ensemble-Learning-Bagging-and-Boosting

Ensemble is a machine learning concept in which multiple models are trained using the same learning algorithm

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Manaliagarwal/Walmart-Sales-Forcasting

A regression based modeling project to forecast the sales of Walmart

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nafisa-samia/Weather-Prediction-using-Linear-Regression

We want to explore the correlation between weather parameters. We will also check if there is any relationship between humidity and temperature as well as humidity and apparent temperature and try to predict apparent temperature using the most important features. Finally we will calculate the accuracy of our model.

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sean-atkinson/supervised_learning_models

Playing around with a variety of classification and regression models.

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