scikit-learn | Ecosyste.ms: Awesome

https://github.com/ccastleberry/sk-autobots

Custom data transformers using the scikit-learn API.

Last synced: 03 Nov 2024

https://github.com/pradeep31747/smartsuggest-personalized_product_recommendations

This project implements a personalized product recommendation system using machine learning techniques to enhance user experience and drive engagement.

jupyter-notebook keras numpy pandas pyhton scikit-learn sql tensorflow vscode

Last synced: 03 Nov 2024

https://github.com/vivekky57/car-price-prediction

Now you can get Car Price with this wonderful end-to-end project.

flask machine-learning machine-learning-algorithms python python3 random-forest-classifier scikit-learn

Last synced: 05 Nov 2024

https://github.com/vivekky57/flight-price-prediction

flask machine-learning machine-learning-algorithms python3 render scikit-learn

Last synced: 05 Nov 2024

https://github.com/shahzaibdev355/house-recommendation-backend

House Recommendation Backend is a Flask-based API that provides house recommendations based on user input. It includes endpoints to check the backend's functionality, fetch state data, and get personalized house recommendations based on criteria like price, property size, number of beds, number of baths, and state.

flask flask-api flask-cors numpy pandas scikit-learn tensorflow

Last synced: 31 Oct 2024

https://github.com/yuweaec/wine_quality_prediction

The Wine Quality Prediction project aims to predict the quality of wine based on its chemical properties using machine learning algorithms.

flask jupyter-notebook machine-learning python scikit-learn

Last synced: 31 Oct 2024

https://github.com/dionixius7/titanic-disaster-ml-model

This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances

data-analysis data-science data-visualization eda knn-classifier machine-learning neural-network python scikit-learn svm tensorflow titanic-kaggle titanic-survival-prediction

Last synced: 12 Oct 2024

https://github.com/pransu-code/marathonprediction

Case-based Time Prediction for Recreational Marathon Runners

gbm machine-learning-algorithms numpy pandas python random-forest regression-models scikit-learn seaborn sklearn

Last synced: 12 Oct 2024

https://github.com/divinenaman/color-extraction-api

Extract colours from images using K-means, along with FastAPI pipeline.

fastapi k-means-clustering scikit-learn

Last synced: 30 Oct 2024

https://github.com/angelarreola/ai_notes

Notas de la materia "Inteligencia Artificial" para su posterior extraccion mediante algun modelo de lenguaje que nos permita dar respuestas personalizadas con base a la informacion presente en este repositorio.

ai matplotlib numpy pandas phaserjs python scikit-learn

Last synced: 04 Nov 2024

https://github.com/rubaramanan/irisclassifier_with_scikitlearn

iris-classification machine-learning numpy pandas scikit-learn

Last synced: 06 Nov 2024

https://github.com/nicolascoiado/mulheres-ti

Este repositório contém um código em Python para analisar a evolução do número de mulheres na área de Tecnologia da Informação (TI) ao longo dos anos. Utilizando pandas para manipulação de dados e scikit-learn para criar um modelo de regressão linear, o objetivo é prever quantas mulheres estarão na TI em 2024 com base em dados históricos.

linear-regression matplotlib pandas python python3 scikit-learn

Last synced: 04 Nov 2024

https://github.com/cmdecker95/learning-ml

My first foray into machine learning, comprised of my early undergrad work (circa 2021-2022) 🤓

jupyter-notebook keras machine-learning scikit-learn tensorflow2

Last synced: 04 Nov 2024

https://github.com/navindafernando/face-recognition

Training a SVM Pipeline for Face Recognition :anger:

classification haar-cascade-classifier joblib machine-learning numpy opencv pipeline principal-component-analysis scikit-learn ski support-vector-machines

Last synced: 08 Nov 2024

https://github.com/navindafernando/iris

Hello world for ML :mushroom:

joblib k-nearest-neighbor machine-learning pandas scikit-learn

Last synced: 08 Nov 2024

https://github.com/cs50victor/cspaint

handwritten-text recognition application

ai machine-learning python scikit-learn

Last synced: 30 Oct 2024

https://github.com/maxwelllzh/linearizer

Linearizing parameters for linear regression

data-analysis machine-learning scikit-learn

Last synced: 04 Nov 2024

https://github.com/davidcgong/birddog.io

Real estate forecasting using Zillow Research data

forecasting pandas scikit-learn

Last synced: 04 Nov 2024

https://github.com/navindafernando/heart-risk-prediction-model

Heart Risk Level Predicting Regression Model :broken_heart:

joblib linear-regression machine-learning pandas r-squared regression-models scikit-learn

Last synced: 08 Nov 2024

https://github.com/navindafernando/brain-tumor-detection

Brain Tumor Detection using Color Segmentation with KMeans Clustering :warning:

color-segmentation erosion find-contours joblib k-means-clustering machine-learning matplotlib morphological-operation numpy opencv scikit-learn unsupervised

Last synced: 08 Nov 2024

https://github.com/murshidazher/recommendation-system

🎥 Building a recommendation system using python

python recommendation-engine scikit-learn suprise

Last synced: 08 Nov 2024

https://github.com/zsailer/skspline

A Scikit-learn interface on Scipy's spline.

scikit-learn scipy

Last synced: 05 Nov 2024

https://github.com/hayatiyrtgl/ml_divorce_classification-with-5-models

The code performs data preprocessing, machine learning model training, evaluation, and model saving for a binary classification problem on the divorce dataset.

anket binary-classification classification keras keras-classification-models keras-neural-networks keras-tensorflow machine-learning machine-learning-algorithms machinelearning-python python pythonmachinelearning scikit-learn scikitlearn-machine-learning

Last synced: 05 Nov 2024

https://github.com/nouraalgohary/hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

artificial-intelligence book deep-learning hands-on machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/oneapi-src/customer-churn-prediction

AI Starter Kit for customer churn prediction using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/oneapi-src/predictive-asset-health-analytics

AI Starter Kit for Predictive Asset Maintenance using Intel® optimized version of XGBoost

machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/marconicivitavecchia/stazione-monitoraggio-ambientale

Codice in MicroPython per ESP32 per il corso tenuto dalla nostra scuola rivolto ai docenti sulla creazione di una stazione di monitoraggio ambientale che copre gli argomenti di Python, IoT ed Intelligenza Artificiale.

ai esp32 micropython micropython-esp32 python school-project scikit-learn

Last synced: 05 Nov 2024

https://github.com/allanreda/telco-customer-churn-predictor-app

A web-based machine learning application that predicts customer churn using a logistic regression model. Built with Scikit-Learn for model training, Gradio for the user interface, and deployed on Google Cloud App Engine. The app allows users to input customer data and receive predictions on churn risk to support business decision-making.

app-engine data-visualization deployment google-cloud gradio hyperparameter-tuning logistic-regression machine-learning numpy pandas scikit-learn

Last synced: 07 Nov 2024

https://github.com/shridhar1504/boston-house-price-prediction-datascience-project

The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.

boston data-science house-price-prediction machine-learning regression-algorithms regression-models scikit-learn supervised-learning

Last synced: 05 Nov 2024

https://github.com/gangula-karthik/altitude-analytics

Developed a powerful model that predicts airline review sentiments—promoter, passive, or detractor—to help airlines sharpen their marketing strategies and boost customer loyalty 🚀 ✨

airlines data-science machine-learning python scikit-learn sentiment-analysis supervised-learning

Last synced: 05 Nov 2024

https://github.com/iamriteshkoushik/skrun

18hrs Scikit Learn Course Speedrun Repo

freecodecamp machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/afondiel/intro-to-artificial-intelligence-free-course-le-wagon

Intro to Artificial Intelligence Free Course from @LeWagon

ai ai-courses artificial-intelligence data-science lewagon machine-learning numpy pandas prophet-facebook regression-models scikit-learn sklearn

Last synced: 06 Nov 2024

https://github.com/ayushtiwari134/machine_learning_models

A repo where i upload all the models which i train during my journey of learning Machine Learning from scratch

linear-regression logistic-regression machinelearning matplotlib numpy pandas python random-forest scikit-learn

Last synced: 06 Nov 2024

https://github.com/joel-beck/claims-prediction

Car Insurance Claims Prediction

python regression scikit-learn

Last synced: 05 Nov 2024

https://github.com/joel-beck/airbnb-oslo

Price Prediction Models for Airbnb Apartments in Oslo | Winter Term 2021/22

prediction python pytorch scikit-learn

Last synced: 05 Nov 2024

https://github.com/miguellopezvirues/text_sentiment_classification_gamestop

A notebook on NLP sentiment analysis for text classification of game reviews between "positive", "neutral" and "negative".

machine-learning nlp pandas python scikit-learn sentiment-analysis

Last synced: 06 Nov 2024

https://github.com/chengetanaim/high-school-alcoholism-and-academic-performance

Student Alcoholism and Academic Performance Data Analysis

jupyter-notebook scikit-learn

Last synced: 05 Nov 2024

https://github.com/chengetanaim/customerpersonalityanalysis

Customer Personality Analysis involves a thorough examination of a company's optimal customer profiles. This analysis facilitates a deeper understanding of customers, enabling businesses to tailor products to meet the distinct needs, behaviors, and concerns of various customer types

kmeans-clustering pandas scikit-learn

Last synced: 05 Nov 2024

https://github.com/chengetanaim/sentimentanalysisforfinancialnews

This is a Django application for predicting whether the sentiment of a financial news headline is positive, negative or neutral (from an investor point of view)

beautifulsoup4 chartjs django html-css-javascript logistic-regression machine-learning natural-language-processing scikit-learn tfidf-vectorizer webscraping

Last synced: 05 Nov 2024

https://github.com/chengetanaim/sentimentanalysisforfinancialnewsnotebook

Building the model of a financial news sentiment classifier. Financial news headlines will be classified as positive, negative or neutral (from an investor point of view)

logistic-regression machine-learning natural-language-processing scikit-learn tfidf-vectorizer

Last synced: 05 Nov 2024

https://github.com/jayadavv/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-trees linear-regression logistic-regression matplotlib-pyplot plotly python random-forest scikit-learn streamlit

Last synced: 31 Oct 2024

https://github.com/shreeparab1890/duplicate-question-predictor

The ipython notebook is working to build a model which will detect duplicate questions if two questions pair are given.

bag-of-words nlp nlp-machine-learning nltk numpy pandas python random-forest scikit-learn sklearn streamlit

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/laptop-price-predictor

This notebook is trying to build a model which will predict the price of the laptop based on the given specifications.

machine-learning-algorithms matplotlib numpy pandas price-prediction python scikit-learn sklearn

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/indian-cricketer-classifier

This notebook is trying to bulia a model which will predict a Indian Cricketer based on the given image. In this project we have handled 8 Indian Cricketers and build a model to classify the given image between this 8 Cricketers.

image-classification matplotlib numpy opencv pandas python random-forest-classifier scikit-learn sklearn streamlit

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/movie-recommender-system

This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.

bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization

Last synced: 08 Nov 2024

https://github.com/shreeparab1890/handwritten-digit-recognition

In this iPython Noetbook we are going to use the MNIST dataset for the implementation of a handwritten digit recognition app using LogisticRegression and SGDClassifier and compare the accuracy and other metrics.

handwritten-digit-recognition image-classification matplotlib mnist-dataset python scikit-learn sklearn

Last synced: 08 Nov 2024

https://github.com/gayathri2200/car-price-prediction---machine-learning

Car price prediction Machine Learning --- Which is used to predict the price of used cars based on the features.

data-science machine-learning modeldeployment pandas price-prediction python regression scikit-learn streamlit visual-studio visualization

Last synced: 31 Oct 2024

https://github.com/rohra-mehak/sciencesync

System for Personalized Google Scholar Alerts Processing and Data Management, and provision of ML based clustering analysis

agglomerative-clustering clustering crossref-api customtkinter google-api google-scholar graph-api machine-learning numpy pandas python3 scientific-article-analysis scikit-learn sqlite3

Last synced: 07 Nov 2024

https://github.com/josancamon19/boston_housing

Predicting Boston Housing Prices for Udacity Machine Learning Nanodegree

boston-housing-price-prediction machine-learning machine-learning-nanodegree scikit-learn udacity

Last synced: 07 Nov 2024

https://github.com/rakibhhridoy/appliedmachinelearninghousing-regression

Let's take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library. The objective is to predict the value of prices of the house using the given features.

deep-learning housing-market housing-prices machine-learning numpy pandas python real-estate regression scikit-learn

Last synced: 06 Nov 2024

https://github.com/rakibhhridoy/visualmachinelearning-yellowbrick

Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.

classification hyperparameter-tuning machine-learning model-evaluation model-view-presenter model-visualization python random-forest random-forest-classifier scikit-learn visualization xgboost xgboost-algorithm yellowbrick

Last synced: 06 Nov 2024

https://github.com/rakibhhridoy/differentprojects

Some of my learning projects that I practice to launch in data science. Not all, but some of few that was stored in my local repository. It can be useful for beginner data science enthusiast. Explore and learn!

data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics

Last synced: 06 Nov 2024

https://github.com/rakibhhridoy/breastcanceranalysis-classificationclustering

Breast cancer prediction both in classification and clustering method for better understanding the data. Though clustering is different from classification,to finding the key aspect the data have,sometimes we need every possible way to catch behavior of the data.

breast-cancer-prediction breastcancer-classification classification classification-algorithm clustering eda hyperparameter-optimization machine-learning python scikit-learn supervised-learning unsupervised-learning

Last synced: 06 Nov 2024

https://github.com/rakibhhridoy/customersegmentation-clustering

Customer segmentation heavily use in business purpose. It is needed skill for business intelligence and applied machine learning engineer. This represent quite basic way the customer segmentation is done. In python the task is quite easy to do.

agglomerative-clustering clustering-algorithm customer ecommerce kmeans-clustering machine-learning scikit-learn scikitlearn-machine-learning segmentation unsupervised-learning unsupervised-machine-learning

Last synced: 06 Nov 2024

https://github.com/danielstankw/car_classification_and_regression

Regression & Classification model using a car data. Involves EDA, feature engineering, pipelines and more.

classification learning machine regression scikit-learn tensorflow trim

Last synced: 08 Nov 2024

https://github.com/probokrishnacahya/machine_learning

IMT01306601-A Machine Learning

ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn

Last synced: 06 Nov 2024

https://github.com/mateusoliveira30/house-prices

This project was developed for the Kaggle competition "House Prices - Advanced Regression Techniques." The goal is to predict house sale prices using advanced regression techniques, including feature engineering, Random Forests, and Gradient Boosting.

kaggle-competition machine-learning scikit-learn

Last synced: 08 Nov 2024

https://github.com/shuddha2021/stellar-candidate-selector

A sophisticated candidate selection algorithm leveraging multi-criteria analysis and machine learning to identify top software engineering candidates. This tool features flexible filtering, score adjustment, and detailed visualizations to streamline the recruitment process.

candidate-selection data-analysis data-visualization machine-learning pandas plotting-in-python python python-data-analysis recruitment scikit-learn

Last synced: 06 Nov 2024

https://github.com/clinton-mwachia/machine-learning-with-python

machine learning with python

machine-learning python regression scikit-learn

Last synced: 07 Nov 2024

https://github.com/csengupta1101/housing-price-prediction

Based on given features , this project deals with the prediction of house prices. From data extraction till deployment , everything is detailed in here.

jupyter-notebook matplotlib numpy pandas python python3 scikit-learn vscode

Last synced: 07 Nov 2024

https://github.com/lopez86/datascienceexamples

Examples of various data science & data analysis topics using various sources of data.

data-analysis data-science pandas scikit-learn tutorial visualization

Last synced: 06 Nov 2024

https://github.com/jalijuhola/amazon-textual-reviews-recommender-

predicting score and recommending using amazon textual reviews

numpy pandas python scikit-learn typescript

Last synced: 06 Nov 2024

https://github.com/psavarmattas/stroke-prediction-ml-model

This is just a theoretical Machine Learning Model that will analyze the data and determine where the stroke can occur.

classification decision-tree-classifier knearest-neighbor-classifier logistic-regression machine-learning multi-layer-perceptron python random-forest scikit-learn sklearn stacking-classifier support-vector-classifier

Last synced: 07 Nov 2024

https://github.com/markdouthwaite/py-lingo

Utilities for helping you deploy Scikit-Learn models in Go (with lingo!)

hdf5 linear-models scikit-learn

Last synced: 11 Oct 2024

https://github.com/bkamapantula/discover

Code search utility to assist developer workflows via code discovery. Currently uses TF-IDF estimator.

developer-tools python scikit-learn tf-idf

Last synced: 16 Oct 2024

https://github.com/hyzhak/scikit-learn-experiments

scikit-learn experiments

data-science scikit-learn sklearn

Last synced: 05 Nov 2024

https://github.com/thmslmr/scikitlearn-examples

💡Scikit Learn examples - Python

python scikit-learn tutorials

Last synced: 07 Nov 2024

https://github.com/brianlesko/maze-runner

Developed a Python-based maze-crawling application using a PS5 controller interface. This project highlights skills in software-hardware integration and low-code UI design, demonstrating expertise ideal for advanced software engineering.

communication dualsense engineer engineering hacking hardware hardware-hacking interface low-code-ui mechanical-engineer mechanical-engineering protocol ps5 python robotics-engineer scikit-learn software sony streamlit ui

Last synced: 06 Nov 2024

https://github.com/ahmetzamanis/usedcarkicksclassification

Imbalanced classification with scikit-learn and PyTorch Lightning.

class-weights classification classification-metrics data-science deep-learning focal-loss hyperparameter-optimization imbalanced-classification logistic-regression machine-learning neural-network optuna python pytorch pytorch-lightning scikit-learn sensitivity-analysis stochastic-gradient-descent support-vector-machines xgboost

Last synced: 07 Nov 2024

https://github.com/hmasdev/sklearn-protocols

sklearn-protocols: protocols for sklearn regressors, classifiers and transformers

protocol python python3 scikit-learn

Last synced: 07 Nov 2024

https://github.com/adi3042/sensor-fault-detection

🔍⚙️ Ensure Reliable Operations! Detect anomalies and prevent disruptions with our Sensor Fault Detection system. Explore advanced classification and regression techniques to identify and address sensor faults effectively. Your path to robust and accurate sensor data begins here! 🚨🔧 SensorFaultTech

classification css datetime fault-detection flask functools html ipykernel jupternotebook machine-learning numpy pandas python3 readme regression scikit-learn sensor setuptools venv

Last synced: 08 Nov 2024

https://github.com/adi3042/credit-card-fault-detection

🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech

classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv

Last synced: 08 Nov 2024

https://github.com/naufal-yafi/text-mining-nb.model

Naive Bayes algorithm with preprocessing data

clasification data-science machine-learning naive-bayes-algorithm python3 scikit-learn streamlit-webapp text-mining

Last synced: 08 Nov 2024

https://github.com/naufal-yafi/knn-regression.model

K-Nearest Neighbors

data-science knn-regression machine-learning scikit-learn

Last synced: 08 Nov 2024

https://github.com/dilkushsingh/iris-species-classifier

Used Random Forest Classifier Algorithm

huggingface-spaces numpy pandas python random-forest-classifier scikit-learn streamlit

Last synced: 08 Nov 2024

https://github.com/aasjunior/mlapp-api

Esta API fornece endpoints para aplicar algoritmos de aprendizado de máquina, como K-Nearest Neighbors (KNN), Árvore de Decisão e Algoritmo Genético. Realizado como tarefa da disciplina de Laboratório Mobile/Computação Natural no 5º Semestre de Desenvolvimento de Software Multiplataforma.

fastapi machine-learning python scikit-learn

Last synced: 08 Nov 2024

https://github.com/codersales/machine-learning-project

Machine Learning Project

code data-science filtered-4 jupyter last-quarter machine-learning not-this-month numpy over-100-commits pandas pseudo-current python repository-6 scikit-learn sub-critical supervised supervised-learning

Last synced: 08 Nov 2024

https://github.com/apal21/tensorflow-pima-indians-dataset-classification

Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.

classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow

Last synced: 08 Nov 2024

https://github.com/sahiltiwariiii/email-spam-classifier

This model will tell you weather mail is spam or not

dataanalysis datacleaning datascience eda machine-learning nlp-machine-learning nltk numpy pandas python scikit-learn streamlit streamlit-webapp tfidf-vectorizer wordcloud-visualization wordtovec

Last synced: 08 Nov 2024

https://github.com/sahiltiwariiii/dssp

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

docker dotenv dvc flask machine-learning mlflow mlops mysql mysql-connector-python numpy pandas pymysql python python-dotenv scikit-learn seaborn sklearn-library statistics streamlit