GitHub topics: skit-learn | Ecosyste.ms: Repos

jaydenth/Churn-Prediction

This is a School assignment, on churn prediction using scikit learn and traditional ML models

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ankur-mali/Predictive-Maintenance-Using-AI-

An interactive dashboard for predictive maintenance of turbofan engines. This project leverages NASA's CMAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset to monitor engine health, analyze sensor trends, and predict the Remaining Useful Life (RUL) of aero-engines.

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ArturTrela/ML

ML intro from strefakursów.pl

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mdaltamashalam/Uber-Fare-Prediction-Models

Predicts the fare amount of Uber rides based on various factors such as pickup/drop-off coordinates, passenger count, and trip distance.

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0PeterAdel/Data-Dyanamos

Igniting Innovation Through the Power of Data

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abhay-sinha-0/CarPricePredictionProject

A machine learning project that predicts the selling price of a car based on its features such as year, mileage, fuel type, transmission, and more. This model can assist individuals and dealerships in estimating fair market prices for used cars.

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taovietducofficial/RecommendationSystemKnowledgeGraph

Personal Project (Team: 1 - Solo). Mục tiêu chính: Xây dựng hệ thống đề xuất sản phẩm, dịch vụ hoặc nội dung cá nhân hóa theo sở thích và hành vi người dùng trên các nền tảng như thương mại điện tử, xem phim, giáo dục trực tuyến.

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zin-it-dev/MagicML

MAGIC - Machine Learning 🤖

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TQD02/GCP_MachineLearning

This project look at the data of top Clash Royale players in order to build a prediction model for the number of crowns that players might obtain given the units they have equipped

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asier-ortiz/papal-predictor

Predicción del próximo Papa usando Machine Learning

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AbuBakkar32/Machine-Learning-Practice

This GitHub repository is a valuable resource for machine learning and Python enthusiasts. It includes a wide range of projects and tools, covering topics like Data Visualization, Data Analysis, ML, DL, Automation, NLP, Web Scraping, and more. Contributors are welcome to join and learn together in this supportive community. Happy coding!

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fayazur-rahman/car-price-prediction

A machine learning-powered web application that predicts the price of used cars based on essential input features such as brand, model, year of purchase, fuel type, and kilometers driven. This project utilizes a Linear Regression model and provides a responsive web interface built with Flask.

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Nirva-Patel/Multi-Domain-Predictive-Analytics

This project focuses on training and testing machine learning models on multiple datasets to identify the best-performing model. It analyzes model behavior across data types using metrics like accuracy, precision, recall, and F1-score to determine the most effective configuration.

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Omkar4965/spam-sms-classifier

Email / SMS Spam Classifier

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jubileeamechi/PythonProjects

This repository contains a collection of Python projects focused on data analysis, machine learning, and automation. Each project showcases practical applications such as sentiment analysis, predictive modeling, and more, helping to enhance Python programming skills.

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Amishakul/GestureFlow-enabling-all-ablitiles-Machine-Learning

This project controls the PC using Hand Gestures. Controlling Windows management, Controlling Instagram, Windows Media Player and Keyboard arrows based games for eg. Hill Climbing game can be controlled. Download Instagram, Hill climbing or other games and Media Player for Audio Playback from Microsoft Store Only.

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AnishaKhandelwal31/Banking-Data-Analysis

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0DmytroPoliak0/trading-algorithm

Trading Algorithm, first version. Should be updated

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ragul-rofi/HeartDiseaseML

Heart Disease Prediction using machine learning to analyze patient health indicators.

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YanSte/SKit

SKit is a versatile Python library designed to streamline the deployment of Machine Learning (ML) models and facilitate various Data Science tasks.

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tadiusfrank2001/Reccomendation_System_DataMining_Project

Implementing a movie recommendation system that utilizes both wide and deep learning

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tadiusfrank2001/Sentiment_Analyst_Machine_Learning_Project

Design a Decision-Tree Classifer and a Logistical Regression Classifier and compare their performance in Sentiment Analysis on Twitter Tweet data

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Rupsvarshney/heart-disease-prediction

Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.

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Muhammad-Sheraz-ds/Predicting-Insurance-Claim

In this comprehensive machine learning project, I executed the entire machine learning life cycle. Designed a streamlined and visually appealing interface using Streamlit. Ensuring a user-friendly experience for individuals to input their relevant information effortlessly. Handed off well-documented and easily modifiable code.

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aifia105/linear-regression-with-gradient-descent

linear regression model with gradient descent

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Kalash9630/Crop-Advisor

I've developed a crop prediction model using the Random Forest Classifier machine learning algorithm, integrating Soil Metrics and Weather Data to recommend optimal crops. The primary objective is to improve farmers' yields, enhance financial stability, and promote soil health, ultimately resulting in increased profitability.

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Sydney205/Primary-energy-consumption

Analysis of global primary energy consumption trends for various countries.

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akibahmed229/development-of-intelligent

development of intelligent

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psavarmattas/Cardiovascular-Heart-Disease-Prediction-Model

This dataset contains detailed information on the risk factors for cardiovascular disease.

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WallaceHolanda/covid_mortality_risk_prediction

Machine Learning models to predict the covid mortality risk

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MelihcanSimsek/Text-to-Category-AI

Text to Category AI for Social Media Project

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Ayeshaaaaaaaaa/Resume-Classification-System

AI-powered resume classification system can accurately and efficiently analyze resumes, extract relevant information, and categorize them into predefined categories or job roles.

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abdumajid-nabiev/data-science-lessons

This repository is for only teaching and learning Data Science.

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SamuelBarbosaDev/GEAM-basico Fork of ciencia-de-dados-pratica/GEAM-basico

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ayan6943/Mileage-Prediction-ML-Project

Developed a linear regression model to predict vehicle fuel efficiency (miles per gallon, mpg) based on features such as engine displacement, horsepower, and weight.

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InmaculadaRM/InmaculadaRM.github.io

My journey in data Science - personal website

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yashika-malhotra/MicroMobility-Service-Provider---Hypothesis-Testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

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helloharendra/Face-Mask-Detection-Using-Computer-Vision-Python

Language: Python - Size: 29.3 MB - Last synced at: 27 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

Sachinthotre/Credit-card-Fraud-detection

Utilizing machine learning models including logistic regression, random forest, gradient boosting, and neural networks to identify fraudulent credit card transactions. Dataset, consisting of PCA-transformed features and unbalanced classes, required precision-recall metrics for accurate evaluation. Developed in Python using TensorFlow and scikit.

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Sukhksaluja/Bangalore-House-Price-Prediction

Welcome to the Bangalore House Price Prediction repository! This project aims to provide a robust machine learning model to predict house prices in Bangalore, India, based on various features. The repository includes data preprocessing steps, exploratory data analysis (EDA), feature engineering, model building, evaluation, and deployment.

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LJadhav25/Support-Vector-Machine-Data-Science-

Support Vector Machines (SVM) are supervised learning models used for classification and regression analysis. They are particularly effective in high-dimensional spaces and situations where the number of dimensions exceeds the number of samples. SVMs are also memory efficient as they use a subset of training points called support vectors.

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Awaiz-Malik/Simple-Linear_Regression-Using-NumPy-and-Scikit-Learn

This code does linear regression using scikit-learn and custom NumPy implementation. It loads datasets, removes NaNs, scales features, trains and evaluates models, and plots best fit line. Custom model uses gradient descent. Outputs R2 score, coefficients, and intercept.

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vbyrao/DataMiningAlgooos

Breast Cancer Data Analysis: Analyzes and classifies breast cancer data using a Naive Bayes classifier with preprocessing, label encoding, and k-fold cross-validation. Cars Dataset Analysis: Explores a cars dataset with data loading, statistics, and visualizations, including price distribution and correlation heatmap. Hayes-Roth Classification: C

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Phili409/Water_Quality_Predictor

Machine Learning model, that gathers water attributes and predicts it's quality level with 100% accuracy

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Ahmed122000/PRODIGY_ML_01

A simple linear regression model for predicting price of houses based on their attribtues

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OleksiiLatypov/Titanic_ML

Titanic Survival Prediction using ML and Flask Deployment.

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Muhammad-Sheraz-ds/Insurance-Claim-Predicting-System

Welcome to the Insurance Claim Prediction App! This web application utilizes advanced machine learning techniques to estimate insurance claim amounts based on user-provided information. Whether you're exploring insurance options or curious about potential claim amounts, this app provides a quick and convenient way to get personalized predictions.

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jorgeolvr/ImersaoDados

Curso de data science para análise de dados e criação de modelo para previsão de notas do ENEM

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Gabean01/Proyecto-Individual-1-MLOps

LABS Proyecto Individual: MVP Steam - Rol: MLOps Engineer | Bootcamp Henry: Carrera Data Science | Cohorte DataFT 20

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Jimmymugendi/British-Airways-Virtual-Internship-Task2

This GitHub repository for the British Airways project contains code and resources related to analyzing customer booking behavior with British Airways. It includes data preprocessing, exploratory data analysis, model training using the XGBoost classifier, and evaluation of the model's performance.

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Priyanshusingh0818/SMS_Spam_Detection_ACM

This repository hosts a collection of machine learning models and algorithms aimed at detecting spam messages in SMS communications. Leveraging natural language processing (NLP) techniques and supervised learning methods, the repository offers efficient solutions to classify messages as either spam or legitimate. With comprehensive documentation.

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jakubswi/Image-Colour-Palette-Generator

Image Color Analyzer is a Python Flask application that allows users to upload images and analyze the dominant colors present in the image using the KMeans clustering algorithm. The application provides a simple web interface for users to interact with, displaying the dominant colors and their occurrences as a JSON response.

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LLudivina/Neural_Network_Charity_Analysis

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maryamsoftdev/multi-class-SVM-and-single-affine-layer

Day 9

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Raul-rx7/Linear_Regression---Happiness_and_Alcohol_Consumption

Estudo de Regressão Linear efetivado a partir do Dataset disponível em <https://www.kaggle.com/marcospessotto/happiness-and-alcohol-consumption>

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SaarRoz/CyberSight

CyberSight is our final project at Bar-Ilan University. The primary objective of the project is to identify whether a given picture of a human face is generated by artificial intelligence or depicts a real person.

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Randhir026/Chatbot-Python-GUI

The code sets up a Flask web application for a chatbot using a pre-trained model. It loads intents from a JSON file, tokenizes patterns with CountVectorizer, and defines routes for user input, predicting tags, and retrieving bot responses. The application runs on localhost when the script is executed.

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shraddhapattnaik/epl-match-winner-prediction

Predicting match winners in the English Premier League using web scraping, data cleaning, and machine learning in Python.

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tejas79883/Exploratory-Data-Analysis-EDA--Retail-Sales-Data

Using Pandas, scikit learn, Seaborne libraries for data cleaning and exploratory data analysis on retail data

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Abdelrahman-Amen/Applying-different-unsupervised-learning-techniques

Applying various clustering techniques to the dataset, and my primary goal is to identify and choose the most effective method that best captures the underlying patterns in the data.

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Abdelrahman-Amen/Resnet50-From_Scratch_and_Built_in

ResNet-50, with 50 layers, excels in image classification by addressing the vanishing gradient problem. Skip connections facilitate seamless information flow, empowering the model for intricate feature learning. Its unique architecture makes ResNet-50 a robust choice for complex pattern recognition.

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Abdelrahman-Amen/VGG16-From-Scratch-and-Built_in

This project implements the powerful VGG-16 convolutional neural network for image classification, showcasing its efficiency with 3x3 filters, same padding, stride of 1, and 2x2 max-pooling for superior pattern recognition in diverse images.

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Abdelrahman-Amen/Inception-Network-From-Scratch-and-Built_in

Explore the Inception Network, a powerful deep learning architecture designed for image classification. Uncover the efficiency of 1x1 convolutions, strategically used to reduce computational costs and capture intricate features at different scales, revolutionizing the way neural networks process information.

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Abdelrahman-Amen/LenNet-5

LeNet-5 Image Classification project demonstrates the power of the LeNet convolutional neural network for character and digit recognition in grayscale images.

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cd-irvan/FitPredict

A data science project that involved cleaning datasets, creating visualizations, and using machine learning to predict state-wise exercise rates in the United States using internet search behavior.

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shanthiachar18/Project-on-Polynomial-Regression

Predicting the salary using Polynomial Regression

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shanthiachar18/Project-onMultiple-Linear-Regression-2

Multiple Linear Regression model for ToyotaCorolla data

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ksharma67/Heart-Failure-Prediction

This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

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S13LK/Redes-Neuronales-CNN

Ejemplos sobre las redes neuronales CNN, utilizando Python y sus librerias de ciencia de datos; así como: Keras, Tensorflow, Estimator API y Excel.

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iashishpatel/Machine-Learning-Classification

In this repository i am going work on multiple Classification models and technique's.

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davi41229/Aplicacao-MSnegocioja

Aplicação Web para Empreendedor com Flask

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MuhammadHammad-git/Voice-Recognition-Model-for-FYP-Trained-in-CNN-

With an accuracy of more than 95%, This is our Voice Recognition model for our Final Year Project! The data was collected by us, through Audio recordings! There are 5 Letters that appear on the screen T O Z F L. We collected 160 to 170 audio samples for each letter for 60% from male and 40% from Female. The model is trained using CNN.

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saro0307/Exploratory-Data-Analysis-Terrorism

Phase 1 of Data Science project (program) to perform Exploratory Data Analysis on Terrorism using Python On Google Colab for Coderscave Internship sept 2023

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saro0307/Unemployment-Analysis

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

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MAT388E-Fall23/MAT388E-Fall23.github.io

Website for MAT388E-Data Analysis in Fundamental Sciences taught by Gül İnan at ITU Math Eng in Fall 2023.

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NOMANSAEEDSOOMRO/Bootcamp-of-Data-Science-with-Python

I Successfully completed the course Bootcamp of Data Science with Python [+250 exercises][A-Z]

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JonathanCristovao/Computer-Vision-Python-OpenCV

This repository presents image manipulation techniques with the OpenCV library, from basic to advanced.

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SamuelBarbosaDev/Linear_Regression_For_Marketing

Uma empresa está investindo mensalmente em plataformas de publicidade online, como Youtube, Facebook e newspaper, para a prospecção de leads (pessoas interessadas em seus produtos). A fim de acompanhar o desempenho desses investimentos, a empresa registra todos os gastos com publicidade e todos os retornos de vendas gerados a partir desses inves...

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SamuelBarbosaDev/Bitcoin_Price_Prediction

Considere o preço diário do Bitcoin disponível na coluna “PriceUSD” da tabela “https://coinmetrics.io/newdata/btc.csv". Faça um algoritmo (python, R , Excel...) bem simples (média movel, regressão linear,etc..) para prever o preço do dia seguinte. Compartilhe o código, brevemente explique o seu funcionamento e apresente alguns resultados.

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SamuelBarbosaDev/Churn_Prediction_Model

criar um modelo de classificação capaz de prever se um usuário tem mais chance de cancelar a sua assinatura na plataforma ou não.

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SamuelBarbosaDev/Customer_Segmentation_For_Marketing

Você foi contratado por uma empresa de e-commerce que está buscando entender melhor o comportamento de seus clientes para personalizar as suas campanhas de marketing. Para isso, a empresa disponibilizou uma base de dados em csv contendo dados sobre clientes, produtos e transações da loja realizadas entre os anos de 2010 e 2011.

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SamuelBarbosaDev/Fraud_Detection_In_Vehicle_Insurance

Com objetivo de reduzir custos, uma seguradora está reformulando o processo de análise de fraudes em acionamentos de seguros de automóveis. Essa fraude ocorre da seguinte forma, o solicitante aciona o seguro alegando um acidente e danos que não ocorreram de fato. Na verdade, foram simulados de alguma forma.

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SamuelBarbosaDev/Telecom_Customer_Churn

Uma empresa de telecomunicações que fornece serviços está preocupada em reduzir a taxa de retenção de seus clientes. Portanto, o gerente de CRM me contratou para que eu desenvolva um modelo de previsão de clientes que provavelmente irão parar de utilizar os serviços da empresa.

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