Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2024-11-06 00:26:45 UTC
- JSON Representation
https://github.com/saswatamcode/datascienceapi
This is a RESTful API built using Flask and Scikit-Learn. It provides a host of Classification and Regression algorithms that can be used readily and returns results in the form of predictions, confusion matrices, accuracy scores and more.
api flask ml python3 scikit-learn
Last synced: 13 Oct 2024
https://github.com/karimosman89/energy-consumption-forecasting
Predict future energy consumption based on historical data.Create a model that predicts energy consumption in households or businesses to optimize energy distribution and reduce costs.Assist energy companies in planning and managing supply efficiently.
arima lstm matplotlib pandas python scikit-learn
Last synced: 01 Nov 2024
https://github.com/karimosman89/customer-churn-prediction
Predict which customers are likely to stop using a service.Build a model to predict which customers are likely to stop using a service or product. This can help companies take proactive measures to retain customers.Provide actionable insights and retention strategies based on the model’s predictions.
matplotlib-pyplot pandas python scikit-learn seaborn
Last synced: 01 Nov 2024
https://github.com/roovedot/house-price-predictions-with-random-forest-regression-model
Applying Machine Learning Regression Model to Predict Housing Prices for Kaggle "Housing Prices Competition for Kaggle Learn Users".
machine-learning pandas random-forest-regression scikit-learn
Last synced: 01 Nov 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/fahrettinsolak/ai-based-salary-scale-calculation-project
This project demonstrates a Polynomial Regression model using a dataset related to experience and salary. The model is built using Python with the pandas, matplotlib, and sklearn libraries. The dataset includes information on years of experience and corresponding salary.
artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib pandas pyhton scikit-learn
Last synced: 31 Oct 2024
https://github.com/karthikarajagopal44/data-analysis-using-python-libraries-
The COVID-19 pandemic has significantly impacted India, necessitating a detailed analysis of the virus’s spread within the country. In this project, we explore an India-specific COVID-19 dataset, leveraging Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
data-cleaning data-visualization matplotlib numpy pandas python python3 scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/tanaybhadula/ml-preprocessing-cli
A CLI tool with python to preprocess datasets for performing supervised learning to save time for users. Input data can be preprocessed using simple commands and preprocessed dataset can be downloaded later
cli data-cleaning data-preprocessing machine-learning pandas python scikit-learn
Last synced: 11 Oct 2024
https://github.com/dinhanhx/determination
Scripts to set global random for some machine learning framework
determination deterministic keras pytorch randomness scikit-learn tensorflow2
Last synced: 14 Oct 2024
https://github.com/g4brielvs/data-science-playground
Collection of data science and visualization exercises
boston-housing-dataset introduction-to-data-science plotly scikit-learn tensorflow
Last synced: 14 Oct 2024
https://github.com/bsamseth/triangular-regressor
A scikit-learn compatible implementation of a 2D triangular regressor.
Last synced: 25 Oct 2024
https://github.com/nicknobad/binaryimageclassification
Benchmark of sci-kit learn models and a tensorflow model for Binary Image Classification
binaryclassification image-classification scikit-learn scikit-model scikitlearn-machine-learning tensorflow tensorflow-examples tensorflow-experiments tensorflow-models
Last synced: 03 Nov 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/kheriberto/linear_regression_ecommerce
Simple project showcasing crafting a linear regression model with SciKit Learn
data-analysis jupyter-notebook linear-regression pandas python scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/ramy-badr-ahmed/higgs-dataset-training
Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945
binary-classification cuda-toolkit cupy dask dask-dataframes higgs-boson keras keras-tensorflow matplotlib matplotlib-python numpy pandas pandas-dataframe scikit-learn uci-dataset uci-machine-learning
Last synced: 10 Oct 2024
https://github.com/jainish-prajapati/solar-flare-prediction
This repository contains code and data for predicting solar flare energy ranges using machine learning, based on NASA's RHESSI mission data. It includes preprocessing of FITS files into a unified CSV dataset and implements models like Gradient Boosting, Random Forest, and Decision Tree classifiers, achieving accuracies up to 87%.
data-visualization machine-learning numpy pandas python scikit-learn solar-flare-prediction
Last synced: 31 Oct 2024
https://github.com/sisolieri/prova_ds_saloocupacio2024
Admission challenge to Hackató Saló Ocupació by Barcelona activa
arima barcelona catboost data-analysis data-visualizations forecasting machine-learning pandas public-funding python scikit-learn time-series xgboost
Last synced: 31 Oct 2024
https://github.com/mitchmedeiros/mlcompare
Quickly compare machine learning models across libraries and datasets
huggingface-datasets kaggle openml pytorch scikit-learn xgboost
Last synced: 10 Oct 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/ashishsingh789/bcg_virtual_internship
This repository showcases my BCG X virtual internship project on customer churn analysis for PowerCo, covering business understanding, EDA, feature engineering, and modeling using Python and machine learning.
data-manipulation data-science dataanalysis datavisualization eda machine-learning matplotlib numpy pandas python random-forest scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/gaurangdave/house_price_predictions
Machine Learning Application to predict House Prices
hands-on learning-by-doing machine-learning numpy pandas python scikit-learn
Last synced: 31 Oct 2024
https://github.com/zescalante/data1030-final-project
Final project for DATA1030
data-science machine-learning scikit-learn
Last synced: 31 Oct 2024
https://github.com/achronus/data-exploration
A repository dedicated to interesting data exploration projects I've completed
data-analysis exploratory-data-analysis machine-learning matplotlib pandas python scikit-learn seaborn
Last synced: 13 Oct 2024
https://github.com/gfyoung/tree-decode
Package for removing the black-box around decision trees
blackbox decision-tree machine-learning python scikit-learn
Last synced: 03 Nov 2024
https://github.com/lemma-osu/sknnr
scikit-learn compatible estimators for various kNN imputation methods
classification gnn gradient-nearest-neighbor imputation k-nearest-neighbor knn most-similar-neighbor msn random-forest-nearest-neighbor regression rfnn scikit-learn sklearn-estimator
Last synced: 14 Oct 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/rubaramanan/irisclassifier_with_scikitlearn
iris-classification machine-learning numpy pandas scikit-learn
Last synced: 06 Nov 2024
https://github.com/enayar478/nomad_machine_learning_dash_app
An interactive Machine Learning app built with Dash and Plotly, developed as part of the Data Analytics Bootcamp at Le Wagon Bordeaux. It allows users to visualize data, make real-time predictions, and explore various model insights.
analytics cachetools dash dashboard-application data-analysis data-science deployment gunicorn interactive-visualization machine-learning pandas plotly plotly-dash prediction-model python python3 render scikit-learn web-application
Last synced: 12 Oct 2024
https://github.com/alainlebret/python-et-ia-2
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn
Last synced: 31 Oct 2024
https://github.com/rtmigo/skifts_py
Search for the most relevant documents containing words from a query. Uses Scikit-learn and Numpy
cosine-similarity information-retrieval numpy python scikit-learn text-mining tf-idf
Last synced: 14 Oct 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/anty-filidor/cyberbullying-detector
NLP bullying detector for tweets with ML model training pipeline deployed as web-app with CICD
deployment-system flask-api machine-learning nlp python scikit-learn
Last synced: 14 Oct 2024
https://github.com/ojhaharsh/rockvsmine-prediction
Streamlit App for Predicting Rock vs. Mine using SONAR Data. The app allows users to input SONAR readings and returns predictions based on trained data.
machine-learning python scikit-learn
Last synced: 12 Oct 2024
https://github.com/alainlebret/python-et-ia-1
Ressources personnelles du cours "Python & IA" en 2e année GPSE à l'ENSICAEN
artificial-intelligence image-processing machine-learning matplotlib numpy python scikit-image scikit-learn
Last synced: 31 Oct 2024
https://github.com/rinuya/ml-cancer-diagnosis
Binary classficiation using MLP & Random Forest
ml mlp random-forest scikit-learn
Last synced: 12 Oct 2024
https://github.com/mzohaib364/house-price-prediction-model
End to End ML Project with Scikit Learn
cross-validation decision-tree-regression linear-regression random-forest-regression scikit-learn
Last synced: 12 Oct 2024
https://github.com/ashrw/handwritten_digit_recognizer
A handwritten digit recognition system using Python and Scikit-learn to preprocess images and classify digits with a trained SVM model.
Last synced: 12 Oct 2024
https://github.com/yuji1702/ai--powered-triage-system
This project implements a machine learning-based triage system for emergency rooms, which classifies patients based on their symptoms and vitals using a Random Forest Classifier. The system features real-time patient data integration, a user-friendly GUI built with Tkinter, and secure patient data encryption using Fernet from the cryptography lib
cryptography data-imputation data-preprocessing data-security encryption gui healthcare machine-learning matplotlib medical-data python random-forest realt-time scikit-learn seaborn tkinter triage-system
Last synced: 31 Oct 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/kefrankk/ml-fraud-detection
I built a predictive model to detect fraud in financial transactions.
Last synced: 31 Oct 2024
https://github.com/emms21/thoughtful_ai
Technical Screening: an agent that responds to semantically similar questions with pre-defined answers, falling back to generic LLM responses otherwise
openai python scikit-learn streamlit
Last synced: 12 Oct 2024
https://github.com/pymc-learn/pymc-learn-sphinx-theme
Sphinx theme for Pymc-learn documentation
pymc3 pymc4 scikit-learn sphinx sphinx-theme
Last synced: 19 Oct 2024
https://github.com/m-muecke/text-normalizer
Text normalizer integration for sklearn.pipeline.Pipeline class
Last synced: 28 Oct 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/raduldev/ann-classification-churn
ANN based classifiacation model
onehot-encoding python3 scikit-learn streamlit tensorflow
Last synced: 12 Oct 2024
https://github.com/kelvinjuliusarmandoh/loan-approval-prediction
Implementing Machine Learning for predicting loan approval
classification loan-default-prediction machine-learning matplotlib-pyplot numpy pandas scikit-learn seaborn
Last synced: 05 Nov 2024
https://github.com/henrytseng/example_docker_scikit-learn
A quick example of using Scikit-Learn from a Docker container
Last synced: 14 Oct 2024
https://github.com/shridhar1504/titanic-survivor-prediction-datascience-classification-project
This projects predicts whether a passenger on the titanic survived or not using machine learning algorithms with the given details of the passenger data.
classification-algorithm data-analysis data-analytics data-cleaning data-preprocessing data-science data-visualization eda exploratory-data-analysis gradient-boosting jupyter-notebook machine-learning machine-learning-algorithms matplotlib naive-bayes-classifier predictive-modeling python3 scikit-learn seaborn supervised-learning
Last synced: 05 Nov 2024
https://github.com/ccastleberry/hands_on_machine_learning
Notebooks and files created while working through the book Hands on Machine Learning
data-science jupyter-notebook scikit-learn tensorflow
Last synced: 28 Oct 2024
https://github.com/enyaude/california_house_price_prediction
Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.
jupyter-notebook linear-regression python random-forest scikit-learn streamlit
Last synced: 31 Oct 2024
https://github.com/pranavgautam29/flight-price-prediction
The Flight Price Prediction project uses machine learning to forecast flight ticket prices based on historical data. Hosted on Streamlit Community Cloud and deployed via Streamlit, this application allows users to input flight details such as departure and arrival airports, travel dates, and class to receive accurate price predictions.
machine-learning prediction-model regression scikit-learn statistical-machine-learning streamlit
Last synced: 12 Oct 2024
https://github.com/adriantomin/bulldozer-price-prediction
Predicting the Sale Price of Bulldozers Using Machine Learning 🚜💰 This project uses machine learning to predict bulldozer sale prices based on historical data from the Kaggle Bluebook for Bulldozers competition. The goal is to minimize the RMSLE between actual and predicted prices.
data-science jupyter-notebook machine-learning matplotlib-pyplot numpy pandas python scikit-learn
Last synced: 10 Oct 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/ksasi/smartcab
machine-learning numpy pandas python reinforcement-learning scikit-learn
Last synced: 15 Oct 2024
https://github.com/ksasi/dog-breed-classifier
Dog Breed Classifier
cnn cnn-classification computer-vision deep-learning deep-neural-networks keras keras-neural-networks machine-learning numpy pandas python scikit-learn
Last synced: 15 Oct 2024
https://github.com/ksasi/boston_housing
Predicting Boston Housing Prices - Udacity
machine-learning numpy pandas python scikit-learn
Last synced: 15 Oct 2024
https://github.com/ksasi/customer_segments
machine-learning numpy pandas python scikit-learn
Last synced: 15 Oct 2024
https://github.com/cs50victor/cspaint
handwritten-text recognition application
ai machine-learning python scikit-learn
Last synced: 30 Oct 2024
https://github.com/s0fft/airline-passenger-satisfaction
Airline-Customer-Model — Machine Learning Project on: Scikit-learn / Pandas / Matplotlib / Seaborn
jupyter-notebook mashine-learning matplotlib pandas python3 scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/szymonrucinski/pippi-lang
Elegant 📑 text preprocessing pipeline 🚰 available as pip package 🐍 based on scikit-learn pipeline. Combines Transformer and Column Transformer into a single object.
data-cleaning data-science nlp pipeline scikit-learn
Last synced: 19 Oct 2024
https://github.com/nits2612/data-science-projects
Portfolio of data science projects completed by me during PGP AI/ML, self learning, and hobby purposes.
data data-science dataanalysis deep deep-learning keras machine-learning matplotlib numpy opencv pandas python scikit-learn seaborn surprise-python tensorflow transfer-learning
Last synced: 31 Oct 2024
https://github.com/chrispsang/customerchurnanalysis
Predicting customer churn using a RandomForestClassifier with detailed EDA, model evaluation, and visualization. Includes a Tableau dashboard for interactive insights.
customerchurn data-analysis data-visualization datapreprocessing machine-learning python scikit-learn tableau
Last synced: 10 Oct 2024
https://github.com/sauravokos/deep-learning
Repository on private project concerning Deep Learning through multilevel neural networks
keras numpy pillow python python-3-5 scikit-image scikit-learn scipy tensorflow tensorflow-examples tkinter tkinter-graphic-interface
Last synced: 12 Oct 2024
https://github.com/rririanto/thesis-projects
The computer science thesis project that I worked on when I was a student and was looking for a part time job
bag machine-learning python2 python27 scikit-learn surf
Last synced: 12 Oct 2024
https://github.com/vivekkdagar/naivebayesclassifier
Multinomial Naive Bayes Language Classification model
artificial-intelligence beautifulsoup4 college-project github joblib kaggle kaggle-dataset linux machine-learning multinomial-naive-bayes naive-bayes naive-bayes-classifier natural-language-processing popos pycharm python3 scikit-learn simple-project
Last synced: 31 Oct 2024
https://github.com/tbarlow12/learn-it-your-way
Using Python Flask, I wanted to create a simple web API that allows users to upload a dataset, choose one or more models, store them server side, and then hit an endpoint to get a prediction.
flask machine-learning python scikit-learn tensorflow
Last synced: 19 Oct 2024
https://github.com/30mb1/ml-linear-algorithms
Using linear models for classification.
classification linear-algorithms linear-models machine-learning machine-learning-algorithms matplotlib perceptron quality scikit-learn scikitlearn-machine-learning svm svm-classifier
Last synced: 02 Nov 2024
https://github.com/rishavp15/aivshuman_text
In this project make user to decide that the text which is entered in text box is a human generated or a computer generated text.
django pandas python scikit-learn
Last synced: 10 Oct 2024
https://github.com/virajbhutada/article-clustered-recommendation-system-ml
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
anaconda article-recommendation clustering-algorithm data-analysis data-science keras-tensorflow machine-learning machine-learning-algorithms ml-models numpy pandas plotly python scikit-learn scipy
Last synced: 15 Oct 2024
https://github.com/privatepeople/dataanalysis
데이터 분석 공부를 위한 저장소
data-analysis data-science data-visualization matplotlib numpy pandas python scikit-learn scipy
Last synced: 15 Oct 2024
https://github.com/gilevatanya/yandex-practicum-projects
Кейсы решенные на курсах Яндекс Практикума.
bert bootstrap catboost keras lightgbm matplotlib nltk numpy pandas postgresql python pytorch scikit-learn scipy seaborn sql
Last synced: 15 Oct 2024
https://github.com/rennamahcus/advanced-python
All the 'advanced' python topics I am going to learn...
artificial-intelligence machine-learning matplotlib numpy pandas python reinforcement-learning scikit-learn scipy
Last synced: 15 Oct 2024
https://github.com/selcia25/sleep-disorder-detection
💤This project aims to develop an automated method for detecting sleep disorders from heart rate signals.
cnn-classification kmeans-clustering machine-learning matplotlib scikit-learn scipy sleep-disorders tensorflow
Last synced: 15 Oct 2024
https://github.com/swat1563/recommendation-system
This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.
analytics data-analysis data-visualization engine kaggle numpy pandas powerbi powerbi-dashboards powerbi-desktop powerbi-reports python recommendation-engine recommendation-system recommender-systems scikit-learn scipy
Last synced: 15 Oct 2024
https://github.com/davgiles/ut-austin-data-science-program
This repository contains my projects from the Data Science & Business Analytics Post-Graduate Program through UT Austin.
eda matplotlib numpy pandas python scikit-learn scipy seaborn visualization xgboost
Last synced: 03 Nov 2024
https://github.com/hotequil/computer-vision
Study about computer vision.
jupyter-notebook matplotlib numpy python scikit-learn
Last synced: 15 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/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/sasank-sasi/subtheme-sentiment-analysis-for-review
"Comprehensive Subtheme Sentiment Analysis of Customer Reviews Using Advanced NLP Techniques"
matplotlib natural-language-processing nltk plotly python scikit-learn spacy vader-sentiment-analysis
Last synced: 12 Oct 2024
https://github.com/szymon-budziak/real_estate_house_prices_prediction
Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.
data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn
Last synced: 10 Oct 2024
https://github.com/alejoduarte23/si_bayesianmixturemodel
Implementation of a two-stage fast Bayesian system identification for separated Modes. This repository expands the usage of this technique by adding a mixture model fit to obtain modal parameters from the posterior distribution.
matplotlib numpy scikit-learn scipy
Last synced: 10 Oct 2024
https://github.com/khanovico/python-stock-analyzer
This is a Webapp implemented by python and several data science frameworks, enabling online stock trend analyzing.
amcharts-js-charts data-analysis data-visualization flask javascript pandas python scikit-learn
Last synced: 03 Nov 2024
https://github.com/anjaliwork20/heart-failure-prediction
Heart Failure Prediction in Humans
failure-detection heart heart-disease machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn scikitlearn-machine-learning seaborn svc-model
Last synced: 03 Nov 2024
https://github.com/gabrielfmcoelho/heart-disease-webapp
flask-application healthcare machine-learning scikit-learn webapp
Last synced: 25 Oct 2024
https://github.com/thiagohrcosta/machinelearning-temperature
A Small Machine Learning application leveraging Scikit-Learn and statistical learning to extract knowledge from data without explicit programming.
machine-learning numpy pandas python3 scikit-learn
Last synced: 21 Oct 2024
https://github.com/thiagohrcosta/movieapp-ml
The Movie APP is a project created to apply some of the concepts learned throughout the post-graduation degree at XP Educação in Artificial Intelligence with an emphasis on Machine Learning. While this project is not integrated into the curriculum of the course, some of the concepts used were learned during the program.
docker flask-api machine-learning mysql-database postgresql python scikit-learn
Last synced: 21 Oct 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/blakeziegler/binary-classification-competition
Binary Classification of Insurance Crosselling Kaggle Competition
data-analysis data-science database kaggle kaggle-competition machine-learning python rstudio scikit-learn xgboost
Last synced: 10 Oct 2024
https://github.com/mkdirer/depression-data-analysis
This project analyzes a Kaggle depression dataset using data preprocessing, clustering, classification, and outlier detection techniques. Python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn are used to extract insights.
classification clustering matplotlib numpy pandas scikit-learn seaborn vizualization
Last synced: 10 Oct 2024
https://github.com/bartventer/survival-predictor
A simple machine learning application developed with Django, AWS, Gunicorn and Nginx
aws django ec2 gunicorn linux nginx scikit-learn
Last synced: 06 Nov 2024
https://github.com/bartventer/ann-loan-default-profiler
Artificial Neural Network built with Tesorflow to predict whether new customer application will repay or default on a new loan.
artificial-neural-network data-visualisation deep-learning exploratory-data-analysis numpy pandas pipelines scikit-learn tensorflow2
Last synced: 06 Nov 2024
https://github.com/bilgenurbekar/turkishcyberbullying
Contains fine-tuned BERT models and results in the text classification category using Turkish social media data
bert-fine-tuning huggingface-transformers matplotlib numpy pandas python pytorch scikit-learn transformers
Last synced: 10 Oct 2024
https://github.com/jofaval/80-cereals
Data Analysis into almost 80 USA cereals user rating in 1993
cereals classification data-analysis data-science data-visualization google-colab kaggle linear-regression logistic-regression machine-learning matplotlib python regression scikit-learn seaborn
Last synced: 21 Oct 2024
https://github.com/jofaval/california-housing-pricing
Data Analysis about the California Housing Pricing in 1997
data-analysis data-science data-visualization deep deep-learning deep-neural-networks google-colab keras machine-learning matplotlib python regression scikit-learn seaborn tensorflow
Last synced: 21 Oct 2024
https://github.com/jofaval/game-of-thrones
Data Analysis and Predictions of the Game of Thrones' character's survivance from 2016
classification data-analysis data-science data-visualization deep-learning game-of-thrones google-colab kaggle keras machine-learning matplotlib python scikit-learn seaborn tensorflow xgboost
Last synced: 21 Oct 2024
https://github.com/jofaval/ionosphere
Binary Classification of Ionosphere signals at Goose Bay, Labrador in 1988
data-analysis data-science data-visualization deep-learning google-colab keras machine-learning python scikit-learn tensorflow uci xgboost
Last synced: 21 Oct 2024