decision-tree-regressor

There are 0 repository 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.
decision-tree-regressor machine-learning random-forest-regressor xgbregressor weather-prediction
Language:Jupyter Notebook 11
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.
vehicle-insurance insuranceclaim regression-models random-forest-regression decision-tree-regressor linear-regression exploratory-data-analysis machine-learning machine-learning-modeling python pandas seaborn-plots
Language:Jupyter Notebook 6
avivfaraj / DSCI631-project
Machine learning project to predict NYC property prices.
pandas machine-learning data-science python sklearn random-forest-regressor decision-tree-regressor linear-regression-python
Language:Jupyter Notebook 5
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.
linear-regression elastic-net lasso-regression decision-tree-regressor random-forest data-visualization mac
Language:Jupyter Notebook 4
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.
machine-learning linear-regression k-neighbors-regressor svr-regression-prediction decision-tree-regressor gridsearchcv
Language:Jupyter Notebook 3
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.
python3 pandas matplotlib data-manipulation sklearn one-hot-encode linear-regression decision-tree-regressor random-forest-regressor support-vector-regressor
Language:Jupyter Notebook 2
VetlaPavanKalyan / MumbaiHousingProject
Project done by me.
decision-tree-regression decision-tree-regressor mumbai-house-price-prediction supervised-learning mumbai-housing-dataset
Language:Jupyter Notebook 2
abkraynak / data-mining
Applying data mining algorithms to the Stack Overflow Developer Survey dataset using Python
data-mining python data-mining-algorithms decision-tree random-forest random-forest-regressor decision-tree-regressor
Language:Python 1
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
cognizant data data-science data-visualization forage data-mining time-series-analysis data-modelling decision-tree-regressor jupyter-notebook machine-learning machine-learning-production model-building-and-interpretation random-forest-regressor
Language:Jupyter Notebook 1
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
data-science dataset machine-learning linear-regression classification-report confusion-matrix decision-tree-regressor grid-search-cv one-hot-encoding random-forest-regressor rmse scikit-learn smote
Language:Jupyter Notebook 1
amirR01 / Predicting-Breast-Cancer-Survival
Predicting breast cancer survival using machine learning models
breast-cancer breast-cancer-prediction decision-tree-regressor decision-trees deep-learning gene-mutation knn linear-regression logistic-regression machine-learning random-forest random-forest-regressor svm-linear svm-rbf gene-learning-on-clinical-data pca t-sne
Language:Jupyter Notebook 1
DorinK / Assignment-3-Weighted-Random-Forest-Implementation
Third Assignment in 'Practical topics in Machine Learning' course by Dr. Kfir Bar at Bar-Ilan University
california-housing classification decision-tree-classifier decision-tree-regressor decision-trees machine-learning mnist-dataset random-forest random-forest-classifier random-forest-regressor regression
Language:Jupyter Notebook 1
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.
catboost decision-tree-regressor elasticnet gradient-boosting-regressor k-nearest-neighbors lasso-regression lightgbm linear-regression polynomial-regression random-forest-regressor ridge-regression support-vector-machine xgboost
Language:Python 1
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.
python python3 machine-learning sklearn pandas numpy linearsrv matplot seaborn decision-tree-regressor dummy-regressor
Language:Python 1
Sahith-8055 / Machine-Learning-Project
python3 numpy pandas scikit-learn linear-regression decision-tree-regressor random-forest-regressor nlp textblob seaborn matplotlib matplotlib-pyplot
Language:Jupyter Notebook 1
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.
decision-tree-regressor decision-trees gaussian-naive-bayes machine-learning-algorithms naive-bayes-algorithm naive-bayes-classifier svc-classifier svc-model svm svm-classifier bernaulli-naive-bayes
Language:Jupyter Notebook 1
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.
decision-tree-classifier decision-tree-regressor decision-trees machine-learning machine-learning-algorithms python svm svm-classifier svm-kernel svm-regressor svr-regression-prediction svc-classfier-prediction
Language:Jupyter Notebook 1
sedabasaran / Makine-Ogrenimi-Machine-learning
Machine Learning Examples for Beginners
decision-tree decision-tree-regressor gaussian-naive-bayes jupyter-notebook linear-regression machine-learning makine-ogrenmesi multinomial-naive-bayes naive-bayes principal-component-analysis python random-forest random-forest-classifier random-forest-regression support-vector-machines
Language:Jupyter Notebook 1
Shwetago / Predicting_App_Ratings
Predicting using Decision Tree Regressor and Random Forest Regressor
decision-tree-regressor random-forest-regressor
Language:Jupyter Notebook 1
AkshayK25 / WLTW-STOCK-PREDICTION-ML_MODEL
Future Stock Prediction Model
python3 decision-tree-regressor linear-regressor pandas numpy-arrays matplotlib-pyplot sklearn
Language:Jupyter Notebook 0
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.
decision-tree-regressor facebook-comments grid-search-cross-validation grid-search-hyperparameters hold-out-cross-validation linear-regression machine-learning python random-forest-regressor regression-models research-paper-implementation sklearn-library xgb-regressor mean-squared-error root-mean-squared-error-metric
Language:Jupyter Notebook 0
anjanicoder / Dynamic-ML-Model-Selector
An interactive web application that allows users to upload their datasets and dynamically select, train, and evaluate various machine learning models. The app provides comprehensive performance metrics and visualizations, making it easy for users to analyze their data effectively.
decision-tree-classifier decision-tree-regressor linear-regression logistic-regression pandas python random-forest random-forest-classifier streamlit
Language:Python 0
asenacak / UsedCarsML
data-preprocessing decision-tree-regressor feature-selection gridsearchcv hyperband hyperparameter-tuning imputation-methods keras keras-tuner linear-regression machine-learning neural-networks normalization one-hot-encoding price-prediction random-forest-regression selectkbest tensorflow used-cars-price-prediction xgboost-regression
Language:Jupyter Notebook 0
bhavya1917 / Layoffs_Decoded
Demystifying ~400K layoffs to analyze underlying causes and predict future trends of layoffs by different companies.
airflow athena-express aws-athena aws-ec2 aws-s3 beautifulsoup decision-tree-regressor gradient-boosting-regressor javascript linear-regressor nodejs numpy pandas-dataframe pyspark python3 reactjs scikit-learn spacy sql-server tremor
Language:Jupyter Notebook 0
elshaabigail / Apps-Store-Properties-Prediction
A project aimed at predicting variables of interest within the dataset.
data-analysis decision-tree-regressor feature-importance machine-learning predictive-modeling random-forest-regressor feature-engineering sequential-feature-selection wrapper-methods
Language:Jupyter Notebook 0
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
chicago-communities decision-tree-regressor hierarchical-clustering linear-regression machine-learning analysis
Language:Jupyter Notebook 0
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.
decision-tree-regressor predict-rankings random-forest linear-regression
Language:Python 0
prajwalDU / Bike-sharing-demand-prdiction-prajwal
Bike Sharing Demand Prediction By Supervised Machine Learning Algorithms Implementation On Seoul Bike Sharing Dataset
decision-tree-regressor gradient-boosting-regressor linear-regression random-forest-regressor xgboost-regressor
Language:Jupyter Notebook 0
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.
data-analysis-python data-visualization decision-tree-regressor exploratory-data-analysis gradient-boosting-regressor jupyter-notebook linear-regression predictive-modeling random-forest-regressor ridge-regression supervised-machine-learning
Language:Jupyter Notebook 0
srirams04 / decision-tree-from-scratch
A decision tree implementation from scratch using Python, NumPy and pandas for four cases of real/discrete features/output.
decision-tree-algorithm decision-tree-classifier decision-tree-regressor numpy pandas
Language:Python 0
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.
cross-validation-score decision-tree-regressor levene linear-regression matplotlib numpy pandas python3 scipy-stats seaborn train-test-using-sklearn
Language:Jupyter Notebook 0
bp0609 / Decision-Tree-Implementation-FROM-SCRATCH
This repo contains the decision tree implementation from scratch for all possible cases i) discrete features, discrete output; ii) discrete features, real output; iii) real features, discrete output; iv) real features, real output.
decision-tree-classifier decision-tree-regressor scikit-learn
Language:Jupyter Notebook
kalhorghazal / House-Price-Prediction
🏡House Price Prediction, Artificial Intelligence course, University of Tehran
house-price-prediction machine-learning-algorithms regression-models k-nearest-neighbours-regressor linear-regression decision-tree-regressor voting-regressor random-forest-regressor scikit-learn kaggle
Language:HTML
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.
decision-tree-regressor extra-tree-regressor linear-regression random-forest-regressor
Language:Jupyter Notebook
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.
decision-tree-regressor linear-regressor random-forest-regressor supervised-model xgboost-regressor
SoroushGhaderi / diamonds_data_analysis_machine_learning
Data Analysis and Machine Learning
machine-learning regression dataset linear-regression diamond random-forest-regressor lasso-regression decision-tree-regressor ridge-regression data-science data-visualization data-analysis
Language:Jupyter Notebook

decision-tree-regressor

Hrishikesh332 / Weather-Forecasting-Using-ML

Sarah-2510 / Vehicle-Insurance-Claim-Prediction

avivfaraj / DSCI631-project

MHassaanButt / Frequentist-inference-and-regression-modeling

aiyub645 / House-Price-Prediction

sruti-jain / Predicting-House-Prices---Regression

VetlaPavanKalyan / MumbaiHousingProject

abkraynak / data-mining

ADVAIT135 / Forage_Cognizant_Artificial_Intelligence

ahing / airbnb-feature-analysis

amirR01 / Predicting-Breast-Cancer-Survival

DorinK / Assignment-3-Weighted-Random-Forest-Implementation

Furk4nBulut / Hitters-Salary-Prediction

ribeiromatheus / dados-enem-2018

Sahith-8055 / Machine-Learning-Project

Samir-Zade / ML-DiabetesPrediction-UsingFlaskDeployment

Samir-Zade / SVM-Decision-Tree-and-Naive-Bayes-Algorithm

sedabasaran / Makine-Ogrenimi-Machine-learning

Shwetago / Predicting_App_Ratings

AkshayK25 / WLTW-STOCK-PREDICTION-ML_MODEL

AmishaMurarka / Facebook-Comment-Volume-Prediction

anjanicoder / Dynamic-ML-Model-Selector

asenacak / UsedCarsML

bhavya1917 / Layoffs_Decoded

elshaabigail / Apps-Store-Properties-Prediction

esoto15 / chicago-hardship-analysis

jasonchoi725 / 03-tennis-ranking-prediction

prajwalDU / Bike-sharing-demand-prdiction-prajwal

ShreyaPatil1199 / Life_Expectancy

srirams04 / decision-tree-from-scratch

sultanazhari / predicting-amount-of-gold-extracted

bp0609 / Decision-Tree-Implementation-FROM-SCRATCH

kalhorghazal / House-Price-Prediction

prateekagr21 / Price-Analysis-of-Audi-Cars-across-Europe

sonadukane18 / Black_Friday_Sales

SoroushGhaderi / diamonds_data_analysis_machine_learning