decision-tree-regressor
There are 34 repositories under decision-tree-regressor topic.
Hrishikesh332/Weather-Forecasting-Using-ML
The aim of this project to see to do the prediction of the weather using the different types of machine learning model.
Sarah-2510/Vehicle-Insurance-Claim-Prediction
A model was built to predict the total insurance claim amount payable by the insurance company using machine learning techniques such as regression in python.
avivfaraj/DSCI631-project
Machine learning project to predict NYC property prices.
MHassaanButt/Frequentist-inference-and-regression-modeling
In this project, I am applying your frequentist inference and regression modelling skills to different datasets. I applied several machine learning algorithms and try to answer research questions of related problems and also perform data visualization to justify my results.
aiyub645/House-Price-Prediction
Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.
sruti-jain/Predicting-House-Prices---Regression
Determining the housing prices of California properties for new sellers and also for buyers to estimate the profitability of the deal.
VetlaPavanKalyan/MumbaiHousingProject
Project done by me.
abkraynak/data-mining
Applying data mining algorithms to the Stack Overflow Developer Survey dataset using Python
ADVAIT135/Forage_Cognizant_Artificial_Intelligence
This Repository consist of all the Jupyter Notebooks, Images and .CSV files of the tasks that were assigned during the Cognizant Artificial Intelligence Course hosted on Forage
ahing/airbnb-feature-analysis
Using a dataset provided by Airbnb, analysis and predictions will be made to understand what effects the total price of an Airbnb
amirR01/Predicting-Breast-Cancer-Survival
Predicting breast cancer survival using machine learning models
DorinK/Assignment-3-Weighted-Random-Forest-Implementation
Third Assignment in 'Practical topics in Machine Learning' course by Dr. Kfir Bar at Bar-Ilan University
ribeiromatheus/dados-enem-2018
Explorando as notas do ENEM de 2018 tal como análise sobre o gabarito x acertos x erros e criando um Machine Learning para adivinhar as notas.
Samir-Zade/ML-DiabetesPrediction-UsingFlaskDeployment
This repository contains a machine learning project aimed at predicting diabetes using various algorithms such as Decision Tree Regression, Support Vector Regression (SVR), and Gaussian Naive Bayes (GaussianNB). Additionally, it provides a web deployment mechanism for the trained models, enabling easy access and utilization.
Samir-Zade/SVM-Decision-Tree-and-Naive-Bayes-Algorithm
This repository contains implementations of popular machine learning algorithms including Support Vector Machine (SVM), Decision Tree, and Naive Bayes. Each algorithm is implemented separately, providing clear and concise examples of their usage for classification tasks.
sedabasaran/Makine-Ogrenimi-Machine-learning
Machine Learning Examples for Beginners
Shwetago/Predicting_App_Ratings
Predicting using Decision Tree Regressor and Random Forest Regressor
AkshayK25/WLTW-STOCK-PREDICTION-ML_MODEL
Future Stock Prediction Model
AmishaMurarka/Facebook-Comment-Volume-Prediction
Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking sites - Facebook.
bhavya1917/Layoffs_Decoded
Demystifying ~400K layoffs to analyze underlying causes and predict future trends of layoffs by different companies.
elshaabigail/Apps-Store-Properties-Prediction
A project aimed at predicting variables of interest within the dataset.
jasonchoi725/03-tennis-ranking-prediction
KOR: 개인 프로젝트. 머신러닝을 통해 테니스 선수 랭킹 예측. ENG: A personal project. Predicts rankings of tennis players using linear regression, decision tree regressor and random forest.
prajwalDU/Bike-sharing-demand-prdiction-prajwal
Bike Sharing Demand Prediction By Supervised Machine Learning Algorithms Implementation On Seoul Bike Sharing Dataset
ShreyaPatil1199/Life_Expectancy
The overall objective of this project is to critically analyze and develop the relationships of quantitative factors affecting life expectancy in 193 countries between 2000 and 2015 that underlie changes in life expectancy. The importance of predicting life expectancy arises because of its important role as an indicator of the overall health.
srirams04/decision-tree-from-scratch
A decision tree implementation from scratch using Python, NumPy and pandas for four cases of real/discrete features/output.
sultanazhari/predicting-amount-of-gold-extracted
Zyfra is engaged in developing efficient solutions for heavy industry. as a Data Scientist we should be able to predict the amount of gold extracted or recovered from gold ore.
anshu0612/ml-algo-from-scratch
Implemented a Decision Tree Regressor, a Gradient Boosting Regressor, and a Hierarchical Clustering Algorithm.
esoto15/chicago-hardship-analysis
Exploring the impact of socioeconomic indicators on hardship in Chicago neighborhoods using machine learning. Leveraging Linear Regression, Decision Tree, random forest, and Agglomerative Clustering, the project identifies key factors—unemployment, lack of a high school diploma, and poverty—highlighting disparities in the dataset from 2008-2012
Furk4nBulut/Hitters-Salary-Prediction
A machine learning application aimed at predicting employee salaries based on various features such as experience, education level, location, etc. By using different models and techniques, the project seeks to present an optimized model for salary predictions.
kalhorghazal/House-Price-Prediction
🏡House Price Prediction, Artificial Intelligence course, University of Tehran
prateekagr21/Price-Analysis-of-Audi-Cars-across-Europe
Determining the Sales of Audi Cars across whole Europe by comparing the specifications as well as the price of some bestselling Models.
sonadukane18/Black_Friday_Sales
This Project deals with determining the product prices based on the historical retail store sales data. After generating the predictions, our model will help the retail store to decide the price of the products to earn more profits.
SoroushGhaderi/diamonds_data_analysis_machine_learning
Data Analysis and Machine Learning