supervised-machine-learning | Topic

Topic: "supervised-machine-learning"

burcuyesilyurt/Teco_Customer_Segmentation

Develop Machine Learning model to predict customer churn.

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ananty1/movie_recommendation_tmdb_dataset

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norandom/log2ml

Master Thesis: Development and Evaluation of Software for Forensic Log-Analysis Using Machine Learning and Genetic Programming

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ConradKleykamp/Supervised-News-Text-Classification-with-DistilBERT

Classifying news articles about 'health' or 'wellness' using DistilBERT

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codeasarjun/house_price_prediction

This tool utilizes Python, Flask, and Linear Regression to predict house prices based on housing data from Kaggle. Whether you're a real estate enthusiast or just curious about predicting house prices, it provides an intuitive interface to explore and predict potential prices.

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Sudarsann27/Basic_machine_learning_algorithms

Basic Machine learning algorithms using scikit-learn and other fundamental libraries

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scarpin-julian/EPH-ML-Proyect

Proyecto final de Machine Learning Supervisado para la materia de Intro. al aprendizaje automático en la UNSAM. Se trabajo con la Encuesta Permanente de Hogares con el objetivo de realizar un modelo capaz de predecir el salario de un empleado en relación de dependencia.

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SahandNamvar/Supervised-ML-Credit-Card-Data

Credit Card Approval dataset from the UCI Machine Learning Repository

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zohaibterminator/machine-learning-specialization

Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.

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atikanurzida/Linear-Regression_Decision-Tree

At the end of the first semester, the school wants to predict the effect of student study time on test scores. Therefore, two models are used for comparison, namely linear regression and decision tree.

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diyapratheep/study-hours-prediction

Prediction using supervised ml

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JulienSimons/Parallel-market-trends

Supervised logistic regression on parallel time frames of financial market indicators to help determine buying and selling opportunities with micro and macro trends.

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RohitKumar432/Heart-Disease-Prediction

using 8 different algorithm of machine learning

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zohaibterminator/machine-failure-classification-from-scratch

Trained a regularized Logistic Regression model for classifying machine failures using nothing but NumPy and Linear Algebra!

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pshivani234/sparks-code

Prediction using supervised ML: Predicting the percentage of student based on number of study hours. In this simple linear regression task we will predict the percentage of marks that a student is expected to score based upon the number of hours they studied.

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PriyankaSPawar/Data-Science-Supervised_Machine_Learning-Classification_Prediction_of_Housing_Prices

This Project aims to predict the prices of Houses using ML classification algorithms and based on that classify whether the house is "Expensive" or "Not Expensive"

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josericodata/MScDataAnalyticsFirstSemesterAssignmentOne

Summary of Assignment One from the first semester of the MSc in Data Analytics program. This repository contains the CA1 assignment guidelines from the college and my submission. To see all original commits and progress, please visit the original repository using the link below.

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tommasoperitoree/Numerical_Simulation_Laboratory

Project developed for the Numeric Simulation Laboratory A.A. 2023-2024, held by professor Davide Emilio Galli at the University of Milan, Physics Department.

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somnaka/Churn-Analysis

using R programming to design a model that predicts churn.

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lucas12avl/AI_clothing_labeling

Automate image labeling for fashion products using AI algorithms like KNN and K-means, enabling intuitive search in online stores.

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kevinndungu-source/Machine_Learning

Machine Learning - This is a hands-on Machine Learning endeavor showcasing data preprocessing, feature engineering, and model deployment using Amazon SageMaker, aimed at advancing proficiency in ML workflows.

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DataDavidProjects/berkabank

End to End MLOps with Berka Bank Dataset and VertexAI

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JanakanSureshraj/Supervised-Algorithms

Building supervised machine learning models.

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S84v/credit-risk

This project focuses on analyzing credit risk to predict the likelihood of default on loans. It leverages various data analysis and machine learning techniques to assess borrower risk.

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MissNeerajSharma/SupervisedMachineLearning

The motivation behind this project is to provide valuable insights into the complex factors influencing vehicle fuel economy. By understanding these factors, consumers can make informed decisions when purchasing vehicles, policymakers can develop effective regulations to promote fuel efficiency,

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Spandan2308/Critical-Temperature-Prediction

The critical temperature of a superconductor is predicted using XGBoost algorithm.

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muscak/Power-Generation-Prediction

How weather directly impacts renewable energy generation.

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sohbatSandhu/Forest-Fires-in-the-Regions-of-Northwest-Algeria

Introduction to Data Science: Term Project (2021W) - Predictive Analysis

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nirajan-jha/Predicting-Employee-Churn-Using-Machine-Learning

The aim is to build a predictive model that can accurately classify whether the employee is likely to leave or the employee is likely to stay in the company. This allows companies to take proactive measures, such as improving working conditions, offering promotions, or addressing dissatisfaction, to retain valuable employees.

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aishwarya202005/Loan-approval-status-prediction

Prediction of loan status based on training ML models on historical data and predict status, complete with thorough Data Visualization and Exploratory Data analysis

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Goww-99/TSF-GRIP_Task-1_Sol1-by-GV

Task-1 Completed as a DSBA Intern @ The Sparks Foundation

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vara-co/credit-risk-classification

DU - DA Module 20 challenge

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Midhun134/Machine-Learning-study-material

Free lectures on Machine learning which covers core topics and models on supervised and unsupervised, machine learning.

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jaakko-paavola/household-expenditure-prediction-with-python

The code related to my M.Sc. Data Science thesis at the University of Helsinki.

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msr8/classification

A website visualising various classification algorithms

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saral7293/Malicious-Vs-Benign-Pdf-Classification

This repo is for finding whether a PDF file in json format contains virus or not by classifying it into Malicious or Benign using Classification algorithms.

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jeaend/FIFA_21_Prediction_Model

This repository contains a prediction model for estimating the Overall Rating (OVA) of FIFA 21 players based on various attributes available on SoFIFA. The model utilizes data cleaning, feature selection, and a linear regression algorithm to make predictions.

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Zxenith/SupervisedML

These are the basic algorithms of Supervised Machine Learning. Linear Regression and Logistic Regression. Here you will find manual implementation of such topics.

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kgdatatech/climatewins-ml

Exploring the intersection of supervised machine learning algorithms and weather data to drive ClimateWins forward. (CF student project)

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DaramolaDoes/machine-learning-uk-covid19

My Python machine learning 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities for London, UK.

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subratamondal1/EmotionAI

Fine Tuning BERT on Emotion Dataset with Transformers

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nmcintyre5/heartDiseasePrediction

This Pyspark script uses a supervised machine learning to predict heart disease using Apache Spark's PySpark library.

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Ayush272002/Machine-Learning-Algorithms-From-Scratch

Implementation of some of the most commonly used Machine Learning Algorithms from scratch in python

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rahulsharmaYS/Machine-Learning-Techniques

To practice my Machine Learning Course :)

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bhairavibhuyar/Horse-or-Human-Classification-using-CNN

A Python project that uses CNNs to accurately classify images of horses and humans.

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upowai/minerpool

Ai MinerPool

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yash-gajjjar/Car-Price-Predication-ML

Used Linear Regression and Random Forest algorithms to predict car price

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yash-gajjjar/Weather-Forecasting-Supervised-ML

Used Random Forest, Decision Tree, Logistic Regression, and Supervised ML Algorithm

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DrPoojaAbhijith/Supervised_Machine-Learning-Algorithm-Projects

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DevendraSatpute/TheSparkFoundation

This repository contains all the tasks given by The Spark Foundation as part of Data Science intership program.

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Honey28Git/Capstone-Project--Banking-Project--Loan-Default

This project tackles the crucial challenge of assessing Credit Risk Management in banking. Using Supervised Machine learning, the goal is to predict the probability of default, providing insights into customers' creditworthiness by analyzing variables like account details, purchases, and delinquency information.

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daniau23/rice-type-classification-regression

Use of ML algo and Deep learning for rice classification and regression

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limeta-emily/Medical-Cost-Python

I used Python to wrangle and analyze the database to uncover patterns and trends on medical cost.

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SolitaryStallion/Predictive-Maintenance---Water-Pumps

A proactive approach to maintenance called predictive maintenance employs data and analysis to spot possible issues before they cause an asset to fail. This can lessen the likelihood of expensive repairs and unforeseen downtime. One of the most significant uses of predictive maintenance is the remaining useful life prediction of water pumps.

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ojaviva/lottery

Este repositorio contiene un proyecto de Machine Learning para predecir números de un juego utilizando árboles de decisión. Incluye un script principal (Lottery.py) para cargar datos, entrenar el modelo y hacer predicciones. Se proporciona un archivo de datos (num.csv) como entrada para el modelo.

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Prisca92/Project-4-final

Random Forest Classifier Model

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Omonsun/R-skadoosh

codes form my R data wizardry*****, but i suggest u visit rpubs

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dineshreddy221/Regression

Simple regression on Height and weight

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yasithWimukthi/Machine-Learning-with-Python-Coursera-Final-Assessment-Answers

Answers For Machine Learning with Python Course Final Project

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tmar64/gender-ethnicity-prediction-w-ML

Predicting gender & ethnicity using a supervised machine learning model!

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pouyasattari/London-Bike-Sharing-Statistical-Data-Analysis-in-R

In this project, I tried to predict the number of bicycles that can be rented every hour of the day.

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habibmezbafaisal/Machine-Learning

Machine Learning

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cris-jimenez89/MACHINE_LEARNING_CALIDAD_DEL_AGUA_SUPERVISADO

Repositorio creado para mi primer proyecto de Machine Learning, hecho durante mi tiempo en el bootcamp de Data Science de The Bridge. Estudio sobre la calidad del agua, con aprendizaje supervisado

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MuskanKhandelia/Bangalore_House_Price_Prediction

supervised-machine-learning-knearest-neighbour-regression

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MuskanKhandelia/Iphone_Purchase_Prediction

supervised-machine-learning-knearest-neighbour-and-decision-tree-classification

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gillespilon/machine_learning

Supervised machine learning pipelines using scikit-learn.

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George-Hany-M/ML_Specialization_Course

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SanaeSaccomano/Machine-Learning

Résumé de mes projets de Machine Learning

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Somya2115/telecom-churn-prediction

Created Telecom Churn Prediction model using Logistic Regression and acquired an accuracy rate of 80%

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iamvikramkumar/ibm_machine_learning_coursera

Quizzes & Assignment Solutions for IBM Machine Learning Certificate on Coursera. Also included a few resources on side that I found helpful.

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S-Omkar-K/pyspark-projects

NLP + Classical ML projects(Regression analysis, Classification models etc)

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Talieh-Sh/credit-risk-classification

The purpose of this analysis is to apply machine learning techniques to predict the creditworthiness of borrowers using borrower data.

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miguel617/Multi-Classification-predictor-on-Payments-Timeliness

Multi-Classification ML modelling on a payment's database to predict any of the 3 states of a payment in a company.

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arindrajitpatra/Supervised_Learning

All supervised learning projects

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likhitjuttada/Projects

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alaa-aleryani/Credit_Risk_Classification

We used various techniques to train and evaluate a model based on loan risk. We used a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

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Muhammad-Talha4k/The-Sparks-Foundation-Tasks

Tasks completed during my Data Science and Business Analytics Internship at the sparks foundation

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MuskanKhandelia/Fraud_Prediction

supervised-machine-learning-random-forest-classification

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ManishShee24/Breast-Cancer-Classification

The detection of tumours in the breast depends on segmentation techniques. Segmentation plays a significant role in image analysis and includes detection, feature extraction, classification, and treatment. Segmentation helps physicians quantify the volume of tissue in the breast for treatment planning.

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MuskanKhandelia/Company_Sales_Prediction

supervised-machine-learning-random-forest-regression

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MuskanKhandelia/Term-deposit_Subsription_Prediction

supervised-machine-learning-logistic-regression

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Zachary-Lightcap/Facial-Recognition-on-the-Olivetti-Faces-Dataset

DSCI-633 Project

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Mids03/Art_of_Analytics

Data Science Summer Project under Society of Civil Engineers(SOCE), IIT Kanpur

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MuskanKhandelia/Toyota_Corolla_Price_Prediction

supervised-machine-learning-multiple-linear-regression-prediction

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MuskanKhandelia/Startup_Profit_Prediction

supervised-machine-learning-multiple-linear-regression-prediction

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knayyar0416/predictive-model-classification

Built a predictive model to classify 13000+ projects as success or failure

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Vi-n1/LungCancerClassificationAndPrediction

Modelo de regressão logística binária

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MuskanKhandelia/Salary_Hike

supervised-machine-learning-simple-linear-regression-prediction

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MuskanKhandelia/Delivery_Time

supervised-machine-learning-simple-linear-regression-prediction

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arashshams/Coastal_Satellite_Image_Classifier_CNN

This repo hosts a supervised CNN for classification of coastline satellite images.

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HendEmad/Coursera-Data-science

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Sam-Gartenstein/Machine-Learning-for-the-Social-Sciences

Material from my Machine Learning for the Social Sciences course

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AnanthaPadmanaban-KrishnaKumar/RT-FE

Feature Extraction on the Rail Lines Using Semantic Segmentation and Self-supervised Learning.

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amoustakis/Supervised-and-Unsupervised-Machine-Learning-projects

Supervised Machine Learning (GNB, Knn, LR, MLP & SVM) in the dataset philippines and Unsupervised Machine Learning (k-means, HAC, GMM, DBSCAN, HDBSCAN & SOM) in the datasets wingnut & h2mg_128_90

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bamidele42/Machine_Learning_Projects

This repo contain Machine learning Projects

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Cintia0528/Data_Science-Supervised_Machine_Learning_Regression

Predict home prices using regression, optimizing for R2 and RMSE metrics to create a robust model with minimal prediction deviation.

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isadays/Supervised-ML

OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.

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