GitHub topics: decision-tree-regression
sudhanshu182004/ml-from-scratch
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
Size: 1.95 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

dpb24/netflix-global-top-10-performance
Using Machine Learning to predict Netflix Global Top 10 viewership trends (Python & R)
Language: Jupyter Notebook - Size: 6.44 MB - Last synced at: 4 days ago - Pushed at: 5 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: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Suji04/ML_from_Scratch
Implementation of basic ML algorithms from scratch in python...
Language: Jupyter Notebook - Size: 540 KB - Last synced at: 5 days ago - Pushed at: over 4 years ago - Stars: 300 - Forks: 231

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: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

srafay/Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
Language: Python - Size: 10.8 MB - Last synced at: 4 days ago - Pushed at: almost 4 years ago - Stars: 389 - Forks: 196

Nicey-y/eodp-a2-accident-analysis-and-prediction
Assignment 2 - Elements of Data Processing
Language: Python - Size: 37.1 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

raghavendranhp/Industrial_copper_modelling
Industrial Copper Modeling optimizes pricing decisions using advanced ML. Predict sales with accuracy, classify leads, and streamline decision-making.
Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

yerimoh-23/MachineLearning-StartingSalaryPredictionModel
Predicting Average Starting Salary Based on College Characteristics
Language: Python - Size: 6.35 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Mrtols/Technological-Analysis-of-impact-of-Climate-Change-on-Food-Production
This is about analyzing the impact of climate change on the yield of the 4 food crops for 41 years. It aims to uncover the intricate relationship between climatic factors & the yield of crops, identify, quantify the kind of relationship. Also, apply machine learning(ML) Algorithms, Optimize, develop predictive models and compare the perf metrics
Language: Jupyter Notebook - Size: 4.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

havva-nur-ezginci/ML-Applications
💡This project involves the implementation of machine learning (ML) algorithms 💻🔍on various datasets.
Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

fazeelibtesam/BagPackPrediction
My kaggle competition playground series model
Size: 6.11 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Dalageo/ML-GasSensorDrift
Drift Detection in Gas Sensor Array at Different Concentration Levels ☢️
Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 11 - Forks: 0

UmairAli254/Predicting_House_Prices---Linear-Regression
Predicting House Prices via Linear Regression, Decision Tree Regressor, Random Forest Regressor, and Gradient Boost Regressor
Language: Jupyter Notebook - Size: 457 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PhanChenh/PredictQuantity_PythonProject_PizzaDataset
Sales Quantity Forecasting for Pizza Dataset 2015
Language: Jupyter Notebook - Size: 3.92 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

qweryrr/Intro_to_Machine_Learning_Project
Intro to Machine Learning Project from TripleTen
Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nakulpandit/ml_1
Machine Learning
Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

meenakshyyy/Food-Demand-Forecast-Assessment
This project focuses on demand forecasting for a meal delivery company operating across multiple cities. Accurate forecasting helps fulfillment centers optimize raw material procurement and staffing to minimize food wastage and stockouts. The objective is to predict demand for the next 10 weeks (Weeks 146-155) using historical data and relevant mea
Language: Jupyter Notebook - Size: 861 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

Monish-Nallagondalla/positional-Salaries
This project implements a Decision Tree Regression model to predict salaries based on position levels using the dataset Position_Salaries.csv. The dataset contains position levels and their corresponding salaries. The model uses a decision tree to learn the relationships between position levels and salaries and predict salaries for any given positi
Language: Jupyter Notebook - Size: 33.2 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

missbo-cyber/Machine-learning-in-spectroscopic-elipsometry-data
Optimization of machine learning algorithms for ellipsometric data analysis
Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

kristishqau/ApartmentRegressionAnalysis
This data science project aims to predict apartment prices through regression analysis. The dataset used contains information about apartments, and the project involves various steps such as data preprocessing, exploratory data analysis, feature engineering, and building a decision tree regression model.
Language: Python - Size: 1.26 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

LKEthridge/Intro_to_Machine_Learning_Project
Intro to Machine Learning Project from TripleTen
Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

William-Zhan-bot/sport_shoes_predict_by_AI
以ai模型對球鞋售價進行預測 Sneakers Price Predict Based on ML model
Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

rydzze/Sales-Prediction-for-Walmart-Store-Regression
Project for Artificial Intelligence Fundamentals
Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - 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: 2 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 5

MZohaib364/House-Price-Prediction-Model
End to End ML Project with Scikit Learn
Language: Jupyter Notebook - Size: 395 KB - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

abhipatel35/ML-Regression-Lifecycle
Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.
Language: Python - Size: 27.3 KB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

felipeversiane/ia-regression
a regression problem to predict values in a open ifg database.
Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

AdarshVishwakarma12/machine-learning-algorithms
Scratch implementation of machine learning algorithms for educational use.
Language: Python - Size: 21.5 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

marktheo/bike-sharing-demand
Jupyter Notebook - Predicting bike rental numbers based on climate and temporal data
Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

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: 2 months ago - Pushed at: almost 2 years ago - Stars: 3 - 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: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

lukaszfabia/IT-salary-predictor
project for data science
Language: TypeScript - Size: 70.9 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

combax/From-Data-to-Justice
Tree based models to predict Offender Sex and Age in unsolved homicide cases.
Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 0 - 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: 9 months ago - Stars: 1 - Forks: 0

Nijil-N/YouTube-Adview-Prediction-using-Machine-Learning-Models
This project is done based on regression models
Language: Jupyter Notebook - Size: 601 KB - Last synced at: 19 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

shreenidhi7700/Auto_Price_Prediction
We are required to use Machine Learning algorithms to predict the price of cars with the available independent variables such as Horsepower, no-of-cylinders, engine-type, city_mpg, highway_mpg etc.
Language: Jupyter Notebook - Size: 6.3 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - 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

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

ahmedshahriar/Housing-Price-Prediction
Data science project on Housing Prices Dataset regression analysis
Language: Jupyter Notebook - Size: 422 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

MofokengTT21/ml-decision-tree-regressor
Machine Learning project, using Decision Tree Regressor algorithm for training the model to predict the median value of owner-occupied homes.
Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - 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: 2 days ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

MayukhBaruah19/Decision-Tree
Language: Jupyter Notebook - Size: 346 KB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

gaurav-bhadane/Diamond_Price_Prediction
Predicting diamond prices using various regression algorithms. This project involves data preprocessing, feature engineering, and model evaluation to determine the best predictor for diamond prices.
Language: Jupyter Notebook - Size: 5.49 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

sharmeen-k/Taxi_Tip_Prediction_SnapML
A decision tree regressor model from SnapML library by IBM was used to predict taxi tips using a dataset from the NYC Taxi and Limousine Commission (TLC). The model was traiined on over 3 million data samples in 0.636 seconds and yielded a mean squared error = 1.62 on test data.
Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

aishwaryagulabthorat/Decision-Tree
The project focuses on predicting the presence of heart disease based on various medical variables such as age, sex, and cholesterol level. Decision tree models are employed for this classification task, exploring both basic and hyperparameter-tuned versions.
Language: Jupyter Notebook - Size: 7.56 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Danishyousuf19/Decision-Tree-and-Random-Forest
This contains all the project in which i have used Decision Trees and Random Forest to Predict output
Language: Jupyter Notebook - Size: 8.17 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

verrenangelinasaputra/Monelytics-Stock-Prediction
Monelytics is a web-based platform utilizing Python for stock prediction purposes. It compares approximately nine machine learning and deep learning models and can predict the closing prices of the big four Indonesian banks
Language: Jupyter Notebook - Size: 28.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - 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: 11 months ago - Pushed at: 11 months 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: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

diodz/ml-covid
We attempt to model the number of cases of COVID-19 as well as number of deaths from the disease. We combine data on cases from the John Hopkins Coronavirus Resource Center, economic and healthcare system variables from the World Bank, and policy variables from the Oxford’s University Covid-19 Government Response Tracker.
Language: Jupyter Notebook - Size: 62.8 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

manjit-baishya-datascience/NYC-Taxir-Fair-Prediction
This project aims to predict taxi fare amounts in New York City using a dataset of historical taxi rides. We employ machine learning techniques to create models that can estimate the total fare amount based on various features of the trips.
Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

lakshmid13579/Regressions_Other_Python
Regression models other than linear and multiple in Python
Language: Python - Size: 2.93 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 0 - 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: 10 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1

gokulharidev/SalaryPredictingModel
This model predict the salary of faculty based on their profile
Language: Python - Size: 43 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Ahmad-Ali-Rafique/Wine-Quality-Dataset
Comprehensive analysis and modeling of the Wine Quality dataset, including exploratory data analysis (EDA), data preprocessing, model training, and performance evaluation using MSE and RMSE.
Language: Jupyter Notebook - Size: 6.11 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Akash1070/BigMart-Sales-Prediction-
Building BigMart Sales Prediction
Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

yyigitturan/Baseball-Players-Salary-Prediction
This project develops a machine learning model to predict the salaries of baseball players based on their past performance.
Language: Python - Size: 803 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

Niru8449/SuccessSage
Developed student performance predicting model, showing strong understanding of predictive modeling techniques.
Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

christianduhp/apartment-rent-predictor
This project is a web-based dashboard for predicting apartment rental prices in São Paulo using a machine learning model. The dashboard is built using Dash and Plotly, and it utilizes a RandomForestRegressor model to provide accurate rental price estimates based on various apartment features.
Language: Jupyter Notebook - Size: 2.74 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

DrPoojaAbhijith/Project-Predicting-flight-booking-prices.
Language: Jupyter Notebook - Size: 3.99 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - 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

dyavadi8769/Student_Performance_Indicator_AWS_CI-CD
This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.
Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

merrcury/PRJ_Boston_Housing_ML 📦
In this project, I have predicted prices of houses in the suburbs of Boston by using Machine Learning. Machine learning is achieved using Python 3. The model used for evaluating results is Decision Tree Regression.
Language: Jupyter Notebook - Size: 37.1 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

dyavadi8769/Student_Performance_Indicator_ML_AWS_CI-CD_Pipelines
This repository contains a machine learning model aimed at predicting student performance across various metrics. Utilizing a diverse set of Machine Learning Regression algorithms, the model predicts scores based on demographic and academic variables.This project demonstrates robust approach to leveraging machine learning for educational outcomes.
Language: Jupyter Notebook - Size: 2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

oliverdantzer/music-generation
Generate classical music
Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

damaniayesh/Analytics-in-Sales
The project provides a predictive model for forecasting product sales at specific stores, aiming to optimize inventory management and enhance profitability by leveraging data-driven insights.
Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ashen007/Tree-based-regression-model
tree-based regression model using NumPy and pandas libraries.
Language: HTML - Size: 4.28 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - 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: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - 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

AdrijeGuha/Taxi-Tip-Prediction
Using decision tree for New Yorks taxi tip prediction.
Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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

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

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

purrvaja/Regression-Analysis
Regression analysis to predict the house prices, along with exploratory data analysis answering research questions
Language: Jupyter Notebook - Size: 383 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

TomerWeissGit/LTRCTrees_python
LTRC survival tree for python
Language: Jupyter Notebook - Size: 4.44 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Jecoc907/NBA-Analysis-Project-3
As a follow-up report to project 2, we enhanced our Decision Tree Regression Model by introducing ensemble algorithms, such as Bootstrap, Random Forrest, and XGboosting.
Language: Jupyter Notebook - Size: 488 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

RohitG57/Taxi-Fare-Prediction
Aim of this project is to predict taxi fare based on available data. This dataset contains total 8 variables and 50000 indexes.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

craigxiangfu/CRP-ML
Code for BU CDS DS 110 Final Project
Language: Jupyter Notebook - Size: 682 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

imehrdadmahdavi/predicting-housing-prices
A predictive machine learning model to guess housing prices using decision tree regression with %90+ accuracy
Language: Jupyter Notebook - Size: 171 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

georgemuriithi/kaggle-competitions
House Prices Prediction and Credit Default Risk Prediction competitions. Advanced decision tree-based regression and classification models are used.
Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sai-manas/Diamond_Price_Prediction
Diamond Price Predictor - Web Application: Predict diamond prices using various regression models: Linear Regression, Lasso, Ridge, ElasticNet, Decision Tree Regressor, Random Forest Regressor, and KNeighbors Regressor. The chosen Random Forest Regressor, with a remarkable accuracy of 97%, is deployed in a user-friendly Flask app
Language: Jupyter Notebook - Size: 5.54 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - 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

AjNavneet/RegressionModels_Numpy_LassoRidgeDT
Regression models(lasso, ridge, DT) using NumPy.
Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

PrajwalVMani/Analysis-of-University-Admission
Predicting Acceptance rate of a Candidate based on multiple factors
Language: Jupyter Notebook - Size: 141 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

am-tropin/poland-apartment-prices
🇵🇱🏠 The project predicts an apartment price for Warsaw, Krakow and Poznan. Distributed apartments by districts using geopandas; built XGBoost model with MAPE = 9% (the best of others).
Language: Jupyter Notebook - Size: 78.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

elmezianech/Food-Delivery-Time-Prediction
This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.
Language: Jupyter Notebook - Size: 138 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - 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

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

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

JoydELC/Decision_trees_classification_regression
Example of decision tress with classification and regression tasks
Language: Jupyter Notebook - Size: 492 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - 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

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

vermansh16/Real-Estate-Price-Predictor-using-ML
Develop a model for prediction of prices for land. Preprocessing steps involved and also created pipeline to automate the process.Different regression algorithms involved for comparison.
Language: Jupyter Notebook - Size: 643 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

majd30/Flight-Ticket-Price-Prediction-Model
This repository hosts a predictive model designed to estimate flight ticket prices. Using historical flight data, the model employs machine learning algorithms for Regression like : Decision Tree , Random Forest and Linear Regression to forecast ticket prices, aiding travelers in making informed booking decisions and airlines in optimizing pricing
Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

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

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

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
