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: 2025-01-24 00:28:02 UTC
- JSON Representation
https://github.com/akashshnkr/multi-disease-prediction
Developed and integrated three machine learning models for predicting diabetes, Parkinson's, and heart disease into a Streamlit-based web application. The interface allows users to input data and receive accurate health predictions, enhancing early detection and healthcare outcomes.
logistic-regression machine-learning-algorithms numpy pandas python scikit-learn streamlit-webapp svm
Last synced: 22 Jan 2025
https://github.com/abhiramdodda/rainfall_prediction
Machine Learning model built on Telangana dataset cropped from Indian weather dataset merged with average temperature dataset
numpy pandas python3 scikit-learn scikitlearn-machine-learning
Last synced: 12 Jan 2025
https://github.com/martn2023/housing-prices-ml-supervised-learning
My first end-to-end ML/supervised learning project: housing price estimation
data-science data-visualization decision-tree end-to-end-machine-learning linear-regression machine-learning matplotlib pandas predictive-analytics random-forest scikit-learn supervised-learning
Last synced: 12 Jan 2025
https://github.com/jesly-joji/house-price-prediction
House Price Prediction using Linear Regression with Scikit-learn and Flask
Last synced: 22 Jan 2025
https://github.com/7irelo/regressor-model
Video Game Sales Prediction using Decision Tree Regression
joblib matplotlib numpy pandas scikit-learn
Last synced: 13 Jan 2025
https://github.com/sanjaradylov/scikit-fallback
Machine Learning with a Reject Option
fallback-classification machine-learning scikit-learn selective-classification
Last synced: 11 Oct 2024
https://github.com/kostasereksonas/ids_test
Code for intrusion detection system based on "Intrusion Detection System Using Machine Learning Algorithms" tutorial on Geeksforgeeks and Intrusion Detection on NSL KDD Github repository.
ids intrusion-detection intrusion-detection-system nsl-kdd-dataset numpy pandas python scikit-learn tensorflow
Last synced: 16 Jan 2025
https://github.com/jbayardo/aa-tp1
Machine learning on spam
email-classifier jupyter-notebook numpy pandas python scikit-learn spam-filtering text-processing
Last synced: 07 Dec 2024
https://github.com/yvesemmanuel/machine_learning
Implements data problems solved with machine learning algorithms.
data-science keras keras-tensorflow linear-algebra machine-learning neural-network python scikit-learn
Last synced: 16 Jan 2025
https://github.com/ayberkyavuz/ml_model_server_docker_deployment
This repository is for containing source codes of machine learning model server deployment.
deployment docker flask machine-learning model python random-forest scikit-learn
Last synced: 06 Dec 2024
https://github.com/chrislemke/scikit-tabtrans
TabTransformer ready for Scikit learn 🧑🔬
deep-learning machine-learning python scikit-learn transformer
Last synced: 09 Nov 2024
https://github.com/witch-world/iris-flower-classification-decision-tree-classifier
ai algorithms artificial-intelligence decision-tree decision-tree-classifier machine-learning machine-learning-algorithms machinelearning-python matplotlib numpy numpy-arrays pandas pandas-dataframe pandas-python python python3 scikit-learn
Last synced: 15 Jan 2025
https://github.com/kohlerhector/trex-tree-reward-exploration
Using Tree estimators of the MDP models to then count leaves grouping similar transitions and do count-based exploration.
decision-trees drl exploration rl scikit-learn stable-baselines3
Last synced: 30 Dec 2024
https://github.com/jordandeklerk/pygridge
A scikit-learn compatible Python package for data-driven group regularized ridge regression
python regression regularized-regression scikit-learn
Last synced: 19 Dec 2024
https://github.com/lechemi/machine-learning-vademecum
Un notebook contenente nozioni di base ed esempi pratici in python sul machine learning.
machine-learning python scikit-learn
Last synced: 19 Dec 2024
https://github.com/haloapping/ml-with-me
Kalo dengar istilah ML, biasanya rada ambigu. Soalnya punya beberapa kepanjangan, seperti Mobile Legend, Makan Lontong, dan lain-lain. Tapi pada repo ini membahas Machine Learning :)
ml pusing python3 scikit-learn stress tau-ah-gelap
Last synced: 06 Jan 2025
https://github.com/haloapping/ml-workflow
Template alur kerja machine learning.
mahine-learning numpy pandas python3 scikit-learn
Last synced: 06 Jan 2025
https://github.com/kookmin-sw/capstone-2023-29
자리있어? - 경기도 광역버스 좌석예측 시스템
fastapi lstm postgresql python3 pytorch react scikit-learn sqlalchemy
Last synced: 13 Nov 2024
https://github.com/mpolinowski/isometric-mapping
Non-linear dimensionality reduction through Isometric Mapping
isomap matplotlib-pyplot python scikit-learn
Last synced: 30 Nov 2024
https://github.com/dhairyac/student-performance-analysis
Analyze and visualize features affecting student performance
decision-tree-classifier logistic-regression matplotlib numpy pandas random-forest-classifier scikit-learn seaborn
Last synced: 22 Jan 2025
https://github.com/mpolinowski/manifold-learning-for-image-segmentation
Use Manifold Learning, Mapping and Discriminant Analysis to Visualize Image Datasets
fisher-discriminant-analysis image-segmentation isomap locally-linear-embedding principal-component-analysis python scikit-learn
Last synced: 30 Nov 2024
https://github.com/nemeslaszlo/sale-price-of-bulldozers
The goal of predicting the sale price of bulldozers. How well can we predict the future sale price of a bulldozer, given its characteristics previous examples of how much similar bulldozers have been sold for? (Archive kaggle competition)
matplotlib numpy pandas random-forest-regressor regression scikit-learn seaborn
Last synced: 01 Dec 2024
https://github.com/kieranlitschel/kerassearchcv
Built for the implementation of Keras in Tensorflow. Behaves similarly to GridSearchCV and RandomizedSearchCV in Sci-Kit learn, but allows for progress to be saved between folds and for fitting and scoring folds in parallel.
classification grid-search keras keras-tensorflow multithreading randomized-search scikit-learn
Last synced: 03 Jan 2025
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: 30 Dec 2024
https://github.com/fardinhash/scikit-learn_tutorial
machine-learning machine-learning-library python scikit-learn
Last synced: 14 Jan 2025
https://github.com/satvikpraveen/fashionmnist-analysis
A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.
computer-vision confusion-matrix convolutional-neural-networks deep-learning-algorithms exploratory-data-analysis fashion-mnist-dataset fine-tuning hyperparameter-tuning image-classification jupyter-notebook machine-learning-algorithms matplotlib-pyplot model-evaluation numpy pandas pytorch resnet-18 scikit-learn seaborn vgg
Last synced: 23 Jan 2025
https://github.com/sorenfyhn/resights-avm-house-prices
My attempts for the automatic valuation model (AVM) hackathon by Resights.
machine-learning python pytorch scikit-learn
Last synced: 23 Jan 2025
https://github.com/myahninsi/housing-price-prediction-ml
Final project for Big Data Visualization for Business Communications 01 (DSMM Group 1). Analyzes housing data, identifies key price factors, and builds predictive models using machine learning. Includes Power BI dashboards for interactive visualizations and Flask for deployment.
elastic-net lasso-regression linear-regression matplotlib numpy pandas ridge-regression scikit-learn seaborn
Last synced: 30 Dec 2024
https://github.com/adadalshabab/human-stress-analysis-greadsearch-classifier
The project leverages data from physiological signals, self-reported surveys, behavioral observations, or other relevant sources to infer and analyze stress levels.
classification knn-classification machine-learning machine-learning-algorithms matplotlib pandas scikit-learn
Last synced: 21 Jan 2025
https://github.com/sorenfyhn/dtu-machine-learning-project
My project work for the DTU 02450 Machine Learning course.
machine-learning python pytorch quarto scikit-learn
Last synced: 23 Jan 2025
https://github.com/probokrishnacahya/machine_learning
IMT01306601-A Machine Learning
ipynb machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 25 Dec 2024
https://github.com/dmschauer/aws-sagemaker-deployment-test
I did a simple test to see how deploying a machine learning model on AWS Sagemaker and thus turning it into an API works. Since scikit-learn models require less dependencies than e.g. TensorFlow models I went with them for this test. To do so I used a tutorial.
aws boto3 python sagemaker scikit-learn
Last synced: 08 Jan 2025
https://github.com/icejan/predicton-systems
Systems that generates results based on data
lightfm numpy python scikit-learn
Last synced: 29 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: 25 Dec 2024
https://github.com/ericmaddox/crime-analyst-ai
AI-powered Python project that analyzes crime data, predicts trends using advanced models, and visualizes insights on interactive maps with validation for accuracy and reliability.
ai artifical-intelligence crime-analysis crime-data crime-data-analysis crime-prediction crime-statistics ollama ollama-api python python3 scikit-learn
Last synced: 08 Jan 2025
https://github.com/fahrettinsolak/ai-map-based-geographic-clustering-project
This project focuses on clustering crime incidents in San Francisco using the K-Means algorithm. The dataset is obtained from Kaggle and contains information about crime types, geographical coordinates, and other relevant features. The goal is to identify crime hotspots through geographic clustering and visualize the clusters on an interactive map.
artificial-intelligence deep-learning elbow-method jupyter-notebook machine-learning numpy openstreetmap pandas phyton plotly scikit-learn standardscaler
Last synced: 07 Dec 2024
https://github.com/belzebu013/prever_nivel_colesterol
Projeto de IA com algoritmo de Regressão Linear múltipla para prever o nível de colesterol de um individuo.
ia jupiter-notebook pandas python regressao-linear-multipla scikit-learn
Last synced: 19 Dec 2024
https://github.com/prashver/end-to-end-model-deployment-on-aws
Student Performance Analysis with Machine Learning analyzes factors impacting student outcomes using a robust machine learning pipeline. Achieving an impressive R2 score, it predicts student performance effectively. With extensive data preprocessing and deployment on AWS Elastic Beanstalk, it ensures scalability and high availability.
amazon-web-services aws-elastic-beanstalk end-to-end-deployment flask machine-learning-algorithms matplotlib numpy pandas scikit-learn seaborn
Last synced: 14 Jan 2025
https://github.com/drkbluescience/wids2024_challenge2_metastaticdiagnosisregression
This notebook presents an exploratory data analysis (EDA) and regression modeling approach for the WiDS Datathon 2024 Challenge #2.
catboost data data-visualization ensemble-learning exploratory-data-analysis gradient-boosting imputation-methods lgbm machine-learning scikit-learn women-in-data-science
Last synced: 19 Dec 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: 28 Dec 2024
https://github.com/darkdk123/customer-churn-prediction-innobytes
Predicting Customer churns as an Internship project at Innobytes services.
data-science python scikit-learn streamlit xgboost-classifier
Last synced: 28 Dec 2024
https://github.com/aqueeqazam/machine-learning-using-scikit
This repository contains all of the algorithms used to train the machine learning models using the Scikit library.
Last synced: 14 Jan 2025
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: 28 Dec 2024
https://github.com/abdulshaikh55/ml-involuntary-denied-boarding
A machine learning model that predicts whether you will be denied onboarding your plane.
first-timers ipynb machine-learning scikit-learn
Last synced: 19 Dec 2024
https://github.com/eesunmoon/machine_learning
[Spring 2021] Machine Learning
data-analysis kaggle machine-learning ml python scikit-learn sklearn
Last synced: 14 Jan 2025
https://github.com/official-biswadeb941/clopimedi---your-heart-s-trusted-care
ClopiMedi is an AI-driven healthcare application that simplifies doctor appointment bookings, offering personalized recommendations based on medical conditions to enhance patient-provider connections.
adam ai flask flask-api flask-api-backend full-stack-web-development joblib machine-learning scikit-learn tensorflow
Last synced: 31 Oct 2024
https://github.com/aysenurcftc/breast_cancer_streamlit
Breast Cancer Wisconsin Dataset Classifier with Scikit-learn and Streamlit
breast-cancer classification gridsearch scikit-learn streamlit
Last synced: 14 Jan 2025
https://github.com/taeefnajib/predicting-heart-disease-using-logistic-regression
In this project, we trained a model that predicts whether a person will have heart disease or not. We also created a web app using Flask and deployed our application on Render.
classification deployment disease flask heart logistic-regression render scikit-learn sklearn
Last synced: 21 Jan 2025
https://github.com/emmarhoffmann/starsort
A multi-model machine learning project that achieves up to 100% accuracy in classifying star types using five different AI algorithms
decision-tree naive-bayes neural-network python random-forest scikit-learn svm
Last synced: 19 Dec 2024
https://github.com/hariprasath-v/machinehack_analytics_olympiad_2023
Create a machine learning model to determine the likelihood of a customer defaulting on a loan based on credit history, payment behavior, and account details.
binaryclassification catboost exploratory-data-analysis machine-learning numpy pandas python scikit-learn shap
Last synced: 13 Jan 2025
https://github.com/gustaminas/ai_primer---flatland
A project from the AI_primer course at Vilnius university.
cnn-keras data-augmentation data-mixup dropout-keras scikit-learn shape-classification
Last synced: 05 Dec 2024
https://github.com/drtey/tryingml
Hands on Machine Learning´s fundamentals
jupyter-notebook machine-learning matplotlib numpy pandas python scikit-learn
Last synced: 21 Jan 2025
https://github.com/eco786786/spotify-playlist-generator
This project uses machine learning to cluster songs by features like tempo, genre and mood with K-Means. It then creates personalised Spotify playlists based on these clusters, providing dynamic, genre specific track collections. Integrating the Spotify API, it enables users to explore new music within custom groupings.
flask matplotlib pandas python3 scikit-learn seaborn
Last synced: 21 Jan 2025
https://github.com/jezbravo/lstm
Stock predictions with LSTM
jupiter-notebook keras keras-neural-networks keras-tensorflow lstm lstm-model lstm-neural-networks machine-learning matplotlib numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning stock-price-prediction
Last synced: 27 Dec 2024
https://github.com/arizdn234/spotify-api-with-colab
Crawling, Analyzing, Clustering music data from Spotify API
machile-learning scikit-learn spotify-api spotipy-library
Last synced: 30 Dec 2024
https://github.com/fgebhart/handson-ml
hands-on machine learning notebooks collection
jupyter-notebook machine-learning scikit-learn
Last synced: 13 Jan 2025
https://github.com/fairlytales/machine_learning
Workbooks for machine learning and neural network courses, textbooks, etc.
jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy opencv opencv-python pandas python pytorch scikit-learn scipy
Last synced: 07 Jan 2025
https://github.com/naufal-yafi/text-mining-nb.model
Text mining using Naive Bayes algorithm
clasification data-science machine-learning naive-bayes-algorithm python3 scikit-learn streamlit-webapp text-mining
Last synced: 30 Dec 2024
https://github.com/naufal-yafi/knn-regression.model
K-Nearest Neighbors
data-science knn-regression machine-learning scikit-learn
Last synced: 30 Dec 2024
https://github.com/karan-malik/advancedregression
Using Various Regression Algorithms to Predict House Sales
adaboost-algorithm decision-tree-regression decision-trees gradient-boosting-regressor house-price-prediction linear-regression machine-learning machine-learning-algorithms python python3 random-forest-classifier random-forest-regressor regression regression-algorithms regression-models scikit-learn scikitlearn-machine-learning support-vector-regression svm
Last synced: 14 Jan 2025
https://github.com/theengineerprogrammer/kmeans-medoids
Changing cluster centers from centroids to medoids for kmeans
clustering k-means k-medoids kmeans kmedoids scikit-learn
Last synced: 19 Dec 2024
https://github.com/rajukoushik/machine-learning
machine-learning
machine-learning python scikit-learn
Last synced: 30 Dec 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: 01 Jan 2025
https://github.com/miguellopezvirues/azure_keyword_cpc
Development and deployment of simple regression model in Azure Machine Learning.
azureml deplyment machine-learning mlflow pandas scikit-learn
Last synced: 24 Dec 2024
https://github.com/andremenezesds/pa004_health_insurance
Health Insurance Cross-Sell(Learning to Rank Machine Learning Project)
backend backend-api data-analysis data-science data-visualization dataviz lgbm machine-learning matplotlib numpy optuna pandas python scikit-learn shell-script sql webapi xgboost
Last synced: 10 Jan 2025
https://github.com/mnj-tothetop/english-handwritten-characters-recognizer
A handwritten english character recognizer [0-9, A-Z, a-z] made by using a Dataset of 3409 images. Tensorflow, Keras, Scikit-learn, and OpenCV was used to implement the Convolution Neural Network (CNN). Matplotlib and Seaborn were used to visualize the data.
artificial-intelligence convolutional-neural-networks keras matplotlib opencv-python scikit-learn seaborn tensorflow
Last synced: 21 Jan 2025
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: 06 Dec 2024
https://github.com/somenath203/movie-recommender-system
Click below to checkout the website
content-based-recommendation cosine-similarity huggingface-spaces movie-recommender-system python recommender-system scikit-learn streamlit streamlit-webapp
Last synced: 20 Jan 2025
https://github.com/i30101/mathworks2024
Coding tools for 2024 MathWorks Math Modeling Challenge
machine-learning mathematical-modelling python scikit-learn
Last synced: 12 Jan 2025
https://github.com/gangula-karthik/bank-transaction-classification
Classifying bank transactions with precision—your first step towards smarter finance management 💳🤖📊
finance machine-learning nlp scikit-learn
Last synced: 22 Dec 2024
https://github.com/sakshi2215/email-sms--spam_classifier
nltk-python scikit-learn streamlit-webapp
Last synced: 21 Jan 2025
https://github.com/paragon279/cancercellclassificationbyscikitlearn
Classifies cancer cell using Scikit-learn
machine-learning python scikit-learn
Last synced: 20 Jan 2025
https://github.com/pierrealexandre78/deathpredict
Predict Hospital mortality rate using Machine Learning for patients admitted in ICU (Intensive Care Unit)
healthcare hospital machine-learning predictions python random-forest-classifier scikit-learn xgboost-classifier
Last synced: 13 Jan 2025
https://github.com/sudarshanasrao/ee559-machine_learning-usc
USC graduate level Machine Learning course
cnn keras machine-learning neural-networks numpy python scikit-learn scipy tensorflow
Last synced: 13 Jan 2025
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: 28 Dec 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: 30 Dec 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: 30 Dec 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/oneapi-src/predictive-asset-health-analytics
AI Starter Kit for Predictive Asset Maintenance using Intel® optimized version of XGBoost
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*
Last synced: 05 Nov 2024
https://github.com/ghoumbadji/analyzing-customer-churn-for-a-telecom-company
The project involves utilizing various machine learning techniques, both supervised and unsupervised, to detect customer churn and identify the key factors contributing to it.
churn-analysis churn-prediction kaggle machine-learning pandas random-forest-classifier scikit-learn
Last synced: 26 Dec 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/deliprofesor/game-search-volume-prediction-machine-learning-models-and-forecasting
This repository uses machine learning models like Random Forest, XGBoost, LightGBM, and time-series forecasting with Prophet to predict game search volumes. Additionally, Grid Search is applied for hyperparameter tuning of the LightGBM model.
data-cleaning data-science data-visualization feature-selection forecasting-models game-search grid-search hyperparameter-tuning lightgbm machine-learning pandas prophet python random-forest scikit-learn time-series-analysis time-series-forecasting xgboost
Last synced: 26 Dec 2024
https://github.com/davidcgong/birddog.io
Real estate forecasting using Zillow Research data
forecasting pandas scikit-learn
Last synced: 21 Dec 2024
https://github.com/maxwelllzh/linearizer
Linearizing parameters for linear regression
data-analysis machine-learning scikit-learn
Last synced: 21 Dec 2024
https://github.com/myself-aas/predict-influence-of-social-media-and-other-socio-demographic-factors-on-study-duration
'The Study Duration Prediction Web App' uses machine learning to predict student study time based on factors like GPA, family background, social media engagement, and personal influences. Built with Flask and scikit-learn, it offers personalized insights into how lifestyle choices affect academic performance and study habits.
flask-application machine-learning machine-learning-algorithms prediction-model python scikit-learn scikitlearn-machine-learning webapp
Last synced: 19 Jan 2025
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: 21 Dec 2024
https://github.com/thammami01/simple-recruitment-ml
Simple recruitment app that allows job posting/application, and viewing regression/classification figures based on entries.
flask matplot-lib mongodb python scikit-learn
Last synced: 14 Jan 2025
https://github.com/ledsouza/machine-learning-semisupervisionado
Este projeto utiliza algoritmos de aprendizado de máquina semi-supervisionado para classificar a qualidade do leite como alta, média ou baixa.
data-science joblib machine-learning machine-learning-algorithms pandas python scikit-learn
Last synced: 14 Jan 2025
https://github.com/mpoojithavigneswari/sentiment-analysis
The primary goal of this project is to build a sentiment analysis model that can predict the sentiment of a given review (positive or negative).
deep-learning keras machine-learning nlp python rnn-lstm scikit-learn tensorflow
Last synced: 10 Oct 2024
https://github.com/siddhesh-agarwal/cognizant-prodigi-22
Supply chain event predictability and Visibility
fastapi javascript python react scikit-learn solidity sqlite typescript
Last synced: 14 Jan 2025
https://github.com/thananjaya/admission_chance_prediction
Admission Chance Prediction using linear regression, wrapped up using Flask framework
flask linear-regression machine-learning python3 scikit-learn
Last synced: 29 Nov 2024
https://github.com/5hraddha/optimize-oil-well-locations
In the quest for harnessing valuable energy resources, the OilyGiant mining company wants to expand its operations by discovering new oil well locations. To achieve this, a data-driven approach is adopted, leveraging geological exploration data from three distinct regions and employing techniques in data analysis and modeling.
linear-regression numpy pandas scikit-learn supervised-learning
Last synced: 07 Jan 2025
https://github.com/5hraddha/megaline-plan-recommendations
Megaline is a telecom operator and it offers its clients two prepaid plans, Surf and Ultimate.Megaline has found out that many of their subscribers use legacy plans. They want to develop a model that would analyze subscribers' behavior and recommend one of Megaline's newer plans: Smart or Ultra.
decision-tree-classifier logistic-regression random-forest-classifier scikit-learn supervised-learning
Last synced: 07 Jan 2025
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/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/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