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Topic: "decision-tree-regressor"

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.

Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1

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.

Language: Jupyter Notebook - Size: 172 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1

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.

Language: Jupyter Notebook - Size: 933 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 4 - 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

avivfaraj/DSCI631-project

Machine learning project to predict NYC property prices.

Language: Jupyter Notebook - Size: 30.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

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.

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 4

Shwetago/Predicting_App_Ratings

Predicting using Decision Tree Regressor and Random Forest Regressor

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

abkraynak/data-mining

Applying data mining algorithms to the Stack Overflow Developer Survey dataset using Python

Language: Python - Size: 13.4 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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

Third Assignment in 'Practical topics in Machine Learning' course by Dr. Kfir Bar at Bar-Ilan University

Language: Jupyter Notebook - Size: 506 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

sedabasaran/Makine-Ogrenimi-Machine-learning

Machine Learning Examples for Beginners

Language: Jupyter Notebook - Size: 319 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

Sahith-8055/Machine-Learning-Project

Language: Jupyter Notebook - Size: 8.39 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 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.

Language: Jupyter Notebook - Size: 426 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

asenacak/UsedCarsML

Language: Jupyter Notebook - Size: 229 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 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.

Language: Python - Size: 17.6 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

amirR01/Predicting-Breast-Cancer-Survival-Project

Predicting breast cancer survival using machine learning models

Language: Jupyter Notebook - Size: 3.91 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 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

Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

bhavya1917/Layoffs_Decoded

Demystifying ~400K layoffs to analyze underlying causes and predict future trends of layoffs by different companies.

Language: Jupyter Notebook - Size: 38.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

elshaabigail/Apps-Store-Properties-Prediction

A project aimed at predicting variables of interest within the dataset.

Language: Jupyter Notebook - Size: 377 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

prajwalDU/Bike-sharing-demand-prdiction-prajwal

Bike Sharing Demand Prediction By Supervised Machine Learning Algorithms Implementation On Seoul Bike Sharing Dataset

Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

kalhorghazal/House-Price-Prediction

🏡House Price Prediction, Artificial Intelligence course, University of Tehran

Language: HTML - Size: 4.01 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 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.

Language: Jupyter Notebook - Size: 5.93 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

anshu0612/ml-algo-from-scratch

Implemented a Decision Tree Regressor, a Gradient Boosting Regressor, and a Hierarchical Clustering Algorithm.

Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Related Topics
random-forest-regressor 15 linear-regression 13 machine-learning 11 python 5 pandas 5 random-forest 5 gradient-boosting-regressor 4 scikit-learn 4 python3 3 jupyter-notebook 3 regression-models 3 random-forest-regression 3 numpy 3 decision-tree-classifier 3 data-visualization 3 data-mining 2 random-forest-classifier 2 data-science 2 exploratory-data-analysis 2 decision-tree 2 sklearn 2 predictive-modeling 2 matplotlib 2 decision-trees 2 hierarchical-clustering 2 machine-learning-algorithms 2 xgboost-regression 1 chicago-communities 1 analysis 1 regression 1 mnist-dataset 1 elastic-net 1 classification 1 california-housing 1 tremor 1 sql-server 1 spacy 1 reactjs 1 pyspark 1 pandas-dataframe 1 nodejs 1 linear-regressor 1 javascript 1 beautifulsoup 1 aws-s3 1 aws-ec2 1 aws-athena 1 athena-express 1 airflow 1 supervised-machine-learning 1 ridge-regression 1 lasso-regression 1 data-analysis-python 1 mean-squared-error 1 used-cars-price-prediction 1 tensorflow 1 selectkbest 1 price-prediction 1 one-hot-encoding 1 normalization 1 neural-networks 1 keras-tuner 1 keras 1 imputation-methods 1 hyperparameter-tuning 1 hyperband 1 gridsearchcv 1 feature-selection 1 data-preprocessing 1 wrapper-methods 1 sequential-feature-selection 1 feature-importance 1 feature-engineering 1 data-analysis 1 decision-tree-algorithm 1 time-series-analysis 1 model-building-and-interpretation 1 machine-learning-production 1 forage 1 data-modelling 1 data 1 cognizant 1 data-manipulation 1 supervised-learning 1 mumbai-housing-dataset 1 mumbai-house-price-prediction 1 decision-tree-regression 1 xgbregressor 1 weather-prediction 1 extra-tree-regressor 1 t-sne 1 svm-rbf 1 svm-linear 1 pca 1 logistic-regression 1 learning-on-clinical-data 1 knn 1 gene-mutation 1 gene- 1 deep-learning 1