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: 2024-11-07 00:26:22 UTC
- JSON Representation
https://github.com/akhileshthite/india-population
ML (simple linear regression) model for predicting India's population.
machine-learning numpy pandas python scikit-learn
Last synced: 12 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/pierluigi-failla/pipesnake
a pandas sklearn-inspired pipeline data processor
feature-engineering feature-extraction pandas pipeline pipeline-data-processor python scikit-learn
Last synced: 11 Oct 2024
https://github.com/stewartpark/sklearn2gem
⚡ sklearn2gem ports your scikit-learn model into a fast ruby C binding!
ruby rubygem scikit-learn sklearn
Last synced: 11 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/m-muecke/text-normalizer
Text normalizer integration for sklearn.pipeline.Pipeline class
Last synced: 28 Oct 2024
https://github.com/kengz/feature_transform
Build ColumnTransformers (Scikit or DaskML) for feature transformation by specifying configs.
column-transformer dask-ml dataset feature-engineering feature-transformation machine-learning scikit-learn
Last synced: 11 Oct 2024
https://github.com/mbarbetti/mediastinal-lymphoma-classification
Machine-learning-based classification of bulky mediastinal lymphomas using radiomic features
diagnosis-prediction lymphoma-classification machine-learning personalized-treatment precision-medicine radiomics-analysis scikit-learn texture-analysis
Last synced: 11 Oct 2024
https://github.com/iamwatchdogs/cardiovascular-risk-prediction
This mini-project uses machine learning algorithms to predict possible risks of heart disease by analyzing given data.
jupyter-notebook machine-learning-algorithms matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Oct 2024
https://github.com/george-gca/ai_papers_analysis
Do some analysis based on main AI conferences
conferences data-analysis fasttext fasttext-embeddings fasttext-python python scikit-learn top2vec
Last synced: 11 Oct 2024
https://github.com/matbesancon/kaggle-digit-recognizer
Some tests with the Kaggle Digit Recognition challenge
image-processing kaggle kaggle-digit-recognizer machine-learning mnist-dataset numpy pandas python scikit-image scikit-learn
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/vatshayan/pokemon-analysis
Visualization, Analysis & Predicting the accuracy of finding Pokemon power, attack & speed through Machine Learning
artificial-intelligence data data-analysis data-science data-visualization dataset machine-learning machine-learning-algorithms pokemon scikit-learn
Last synced: 11 Oct 2024
https://github.com/jawwad-fida/data-science-salary-estimator
A tool that estimates data science salaries (MAE ~ $ 11K) to help data scientists negotiate their income when they get a job.
data-science machine-learning project scikit-learn
Last synced: 11 Oct 2024
https://github.com/rishav-raj-sinha/data_transformer
GUI based data transformation web-app
data-science datacleaning dataengineering datamanipulation machine-learning pandas python scikit-learn streamlit
Last synced: 12 Oct 2024
https://github.com/tszon/data-science-projects
Included are all the worth-noting Data Science projects in my learning journey with DataCamp.
data-analysis data-science exploratory-data-analysis feature-engineering machine-learning modelling preprocessing-data scikit-learn supervised-learning
Last synced: 12 Oct 2024
https://github.com/nathan-lindstedt/student_risk
Student Success Model (SSM)
fairlearn machine-learning scikit-learn shap student-risk xgboost
Last synced: 12 Oct 2024
https://github.com/gititsid/visaverdict
A ML project to predict possibility of US Visa approval
classification python3 random-forest-classifier scikit-learn
Last synced: 12 Oct 2024
https://github.com/zahediparsa/ml_birkaracademy
Developed exercises and practical tasks to help students grasp key machine learning topics in a course hosted by Birkar Academy and ICDS.ai
decision-trees iris-dataset knn machine-learning mlp-classifier scikit-learn
Last synced: 12 Oct 2024
https://github.com/shubhamsoni98/prediction-with-binomial-logistic-regression
To predict client subscription to term deposits and optimize marketing strategies by identifying potential subscribers.
binomial data data-science eda machine-learning matplotlib pipeline python scikit-learn seaborn sklearn sql visualization
Last synced: 12 Oct 2024
https://github.com/shubhamsoni98/project_using_knn
This project applies the K-Nearest Neighbors (KNN) algorithm to predict iPhone purchases based on customer data. Using features like age, salary, and previous purchase behavior, the KNN model classifies customers into buyers and non-buyers.
anaconda analytics data data-science eda knn knn-classification machine-learning-algorithms predict project python scikit-learn tableau
Last synced: 12 Oct 2024
https://github.com/jenil311/application-of-covid-19-spread-analysis
The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.
covid19-tracker machine-learning regression-analysis regression-models ridge-regression scikit-learn
Last synced: 12 Oct 2024
https://github.com/rggh/wine_ml
wine
linear-regression matplotlib ml scikit-learn
Last synced: 12 Oct 2024
https://github.com/0eix/ibm-ds-spacex-falcon9
IBM Professional data science certificate Final Project Notebooks
data-science data-visualization exploratory-data-analysis ibm poetry scikit-learn shap
Last synced: 12 Oct 2024
https://github.com/priyanshulathi/cancer-diagnosis-prediction-model
A Machine Learning project to predict cancer malignancy using K-Nearest Neighbor, Support Vector Machine, and Decision Tree algorithms.
machine-learning numpy pandas python scikit-learn
Last synced: 12 Oct 2024
https://github.com/smahala02/svm-machine-learning
This repository provides an in-depth tutorial and practical implementation of Support Vector Machines (SVM) for classification tasks, using Python and popular data science libraries.
classification data-science machine-learning python scikit-learn svm
Last synced: 12 Oct 2024
https://github.com/dwija12903/password-strength-checker
A Model to evaluate the strength of passwords and enhance security for your applications.
matplotlib pandas scikit-learn seaborn xgboost
Last synced: 12 Oct 2024
https://github.com/sdpdas/sm_sentiment_analysis
Using Natural Language Processing (NLP) and pandas, numpy, scikit-learn for classification and applying logistic regression as it is a supervised model, lastly NLTK. Pickle library used for saving and running the model anywhere.
logistic-regression machine-learning nlp scikit-learn sentiment-analysis stemming vectorizer
Last synced: 12 Oct 2024
https://github.com/jhylin/ml1-1_small_mols_in_chembl
Polars dataframe library and logistic regression in scikit-learn (update)
logistic-regression machine-learning parquet-files polars-dataframe scikit-learn
Last synced: 12 Oct 2024
https://github.com/simhayn/binary-classification
Alzheimer's disease detection using XGBoost and other prediction models.
alzheimer-disease-prediction binary-classification exploratory-data-analysis mental-health prediction-model python scikit-learn xgboost
Last synced: 07 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/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/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/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/zescalante/data1030-final-project
Final project for DATA1030
data-science machine-learning scikit-learn
Last synced: 31 Oct 2024
https://github.com/daniel-furman/recfeatureselect
Feature selection functions (1) using the multi-collinearity matrix and recursively proceeding to a spearman threshold and (2) using Forward Stepwise Selection running on an ensemble sklearner (with options for HPO).
correlation-threshold machine-learning modeling multicollinearity recursion recursive-algorithm scikit-learn spearman-rho
Last synced: 13 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/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/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/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/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/skekre98/movie-recommender
Content-based recommendation engine for movies
cosine-similarity recommendation-system scikit-learn
Last synced: 13 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/drorata/mnist-examples
ML examples for the MNIST dataset
machine-learning ml mnist python scikit-learn torch
Last synced: 11 Oct 2024
https://github.com/snikumbh/archr
archR: Identifying promoter sequence architectures de novo using NMF
archr discovery nmf non-negative-matrix-factorization promoter-sequence-architectures r r-package scikit-learn sequence-architectures unsupervised-machine-learning
Last synced: 11 Oct 2024
https://github.com/alchemine/diabetes-prediction
Diabetes Prediction and Analysis (NHIS-2018)
eda jupyter python scikit-learn streamlit
Last synced: 11 Oct 2024
https://github.com/i-am-nolan25/bell-s-palsy-severity-determination
A machine learning model to grade the severity of Bell's palsy
dlib jupyter-notebook machine-learning matplotlib numpy opencv pandas python scikit-learn scipy
Last synced: 11 Oct 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/akansharajput280799/data-driven-insights-into-job-satisfaction-and-compensation-trends
This project analyzes 2020 employee data to identify factors influencing job satisfaction, performance, and salary differences, offering insights for improving engagement and workplace strategies.
cluster-analysis colab-notebook data-cleaning descriptive-statistics factor-analysis hypothesis-testing jupyter-notebook matplotlib python scikit-learn seaborn t-test visualization
Last synced: 31 Oct 2024
https://github.com/kheriberto/logistic_regression_project
A project that analyses dummie data from an advertising company using logistic regression
data-analysis logistic-regression pandas python scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/tavneetsingh01/data-science-and-analytics-lab-practicals
This Repository contains the lab Programs for On-Going Data Science and Analytics Lab (CSL DC205) Fall 2024
conda data-science jupyter-notebook linear-regression logistic-regression matplotlib-pyplot naive-bayes-classifier pandas polars python scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/filsan95/project-iot_malware_identification
This repository contains the code and data for a project that detects malware from IoT devices using a publish-subscribe model with Confluent and Databricks. The project streams IoT device data to Kafka, analyzes it, and detects malware using machine learning models such as Random Forest and Gradient Boosted Trees.
apache-kafka classification confluent databricks machine-learning-algorithms scikit-learn sql
Last synced: 13 Oct 2024
https://github.com/sreekar0101/-movie-recommendation-system-using-python
The Movie Recommendation System is designed to suggest personalized movie recommendations by analyzing extensive datasets containing movie details and credits.ultilizes python libraries numpy pandas and scikit learn.The system achieved a 15% improvement in accuracy compared to the baseline model by identifying key factors that influence user choice
data-analysis data-visualization numpy-library pandas-dataframe scikit-learn seaborn-python
Last synced: 13 Oct 2024
https://github.com/mecha-aima/fake-bills-detection
This Python project implements a simple classification model comparison using scikit-learn to classify banknotes as either "Authentic" or "Counterfeit" based on four features
classification-model machine-learning model-selection scikit-learn
Last synced: 13 Oct 2024
https://github.com/moanassiddiqui/handsonml_ml
This is the complete part I of the Hands-On Machine Learning book which was about the classical machine learning models.
hands-on machine-learning scikit-learn
Last synced: 12 Oct 2024
https://github.com/greatepee/book-recommendation-system
Book Recommendation System
collaborative-filtering cosine-similarity evaluation-metrics k-precision kaggle kaggledatasets mae numpy pandas python scikit-learn scipy svd svd-matrix-factorisation
Last synced: 12 Oct 2024
https://github.com/sonaligill/olympics-analysis
The outcome of this project is an interactive streamlit web application that visualizes the analysis of Olympic data while rendering different aspects of Olympic history, compare country performances, and gain insights into athlete demographics.
numpy plotly python scikit-learn scipy streamlit
Last synced: 12 Oct 2024
https://github.com/lucasfrag/dengue-prediction-knc
Projeto desenvolvido para realizar previsão de casos de dengue usando o algoritmo de classificação KNeighborsClassifier.
data-science knearest-neighbor-classifier machine-learning pandas python scikit-learn
Last synced: 12 Oct 2024
https://github.com/umasivakumar14/f1imagerecognition
Predicts the F1 driver given in an image of their face.
crossvalidation flask gridsearchcv haar-cascade image-recognition machine-learning python scikit-learn seaborn wavelet-transform
Last synced: 12 Oct 2024
https://github.com/qinhanmin2014/sklearn-svm-guide
Rapidly obtain acceptable results using SVM (based on scikit-learn)
machine-learning scikit-learn svm
Last synced: 28 Oct 2024
https://github.com/aneeshmurali-n/nlp-emotion-classification-in-text
Develop machine learning models to classify emotions in text samples.
bag-of-words data emotion-classification feature-extraction machine-learning naive-bayes natural-language-processing nlp nltk preprocessing python scikit-learn svm text-classification tf-idf tokenizer vectorizer
Last synced: 31 Oct 2024
https://github.com/drreetusharma/mental_health_brain_tumor_classification
Multi-Classification-Brain-Tumor_datasets
machine machine-learning matplotlib-pyplot neural-network numpy pandas scikit-learn seaborn
Last synced: 12 Oct 2024
https://github.com/eesunmoon/applied_machine_learning
[COMS4995] Applied Machine Learning
applied-machine-learning machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 31 Oct 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: 31 Oct 2024
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: 31 Oct 2024
https://github.com/musty-ess/shopping-prediction-ai-using-machine-learning
This project is an AI model designed to predict whether customers on an online shopping website will complete a purchase. It uses machine learning, specifically a k-nearest neighbors (KNN) classifier, to analyze user behavior and predict their purchasing intent.
ai-prediction classification-model k-nearest-neighbors knn-classifier machine-learning online-shopping python scikit-learn sensitivity-specificity user-behavior-prediction
Last synced: 31 Oct 2024
https://github.com/mayankyadav23/shipment-pricing-prediction
Shipment Pricing Prediction 📦🔍 is a machine learning project that forecasts shipment prices based on various supply chain factors. Using advanced regression models, it provides valuable insights 📊 to optimize pricing strategies in the supply chain analytics domain.
data-visulization flask ineuron-ai machine-learning python scikit-learn shipment-and-pricing
Last synced: 31 Oct 2024
https://github.com/ngangawairimu/linear-regression-
This project builds a linear regression model in Python to predict outcomes and derive insights from feature data. It covers data cleaning, feature analysis, and model evaluation, showcasing predictive modeling techniques using scikit-learn, pandas, and visualization libraries.
data-analysis linear-regression machine-learning predictive-modeling python scikit-learn
Last synced: 31 Oct 2024
https://github.com/ffstghc/caco2ml
Main code chunks used for models in the publication "Exploring the Potential of Adaptive, Local Machine Learning (ML) in Comparison ton the Prediction Performance of Global Models: A Case Study from Bayer's Caco-2 Permeability Database"
caco-2 local-models machine-learning pharmacokinetics scikit-learn
Last synced: 31 Oct 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: 31 Oct 2024
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/gurramankit/censusproject_ml_randomforest
The objective of this project is to build a classification model using the Census Income dataset from the UCI Machine Learning Repository. The model predicts whether an individual's income exceeds $50,000 per year, based on their demographic and employment-related attributes.
matplotlib numpy pandas python random-forest scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/haekalsetiawan/banana-quality-ml-analysis
The Banana Quality Analysis ML project classifies the quality of bananas using machine learning. By analyzing banana images and relevant features, the model categorizes bananas into quality tiers. Key stages include data preprocessing, feature extraction, model training, and evaluation, resulting in high accuracy.
Last synced: 31 Oct 2024
https://github.com/legendarym4x/data_science
Data Science Course
jupyter-notebook keras matplotlib nltk numpy pandas scikit-learn spacy tensorflow
Last synced: 12 Oct 2024
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: 31 Oct 2024
https://github.com/aleksibovellan/ai-image-recognition-for-finnish-trees
AI/ML Trained Image Recognition for Finnish trees in Python with Gradio Web Interface
ai finnish gradio image ml numpy opencv-python python python3 pytorch recognition resnet-18 scikit-learn torch torchvision torchvision-transforms tree trees
Last synced: 31 Oct 2024
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: 31 Oct 2024
https://github.com/msikorski93/sentinel-2-image-clustering
Image clustering with k-means approach.
clustering gis google-earth-engine k-means-clustering remote-sensing satellite-imagery scikit-learn sentinel-2 unsupervised-machine-learning
Last synced: 31 Oct 2024
https://github.com/jupitvq/simple-uib-assistant
Chatbot sederhana berbasis scikit-learn untuk membantu mahasiswa memberikan informasi seputar akademik & administrasi UIB.
chatbot machine-learning scikit-learn virtual-assistant
Last synced: 31 Oct 2024
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/lakshitalearning/codsoft
Machine Learning Projects - CODSOFT Internship: This repository showcases my machine learning projects completed during my internship at Codsoft. It demonstrates my skills in developing innovative solutions using various ML techniques and tools.
churn-prediction codsoft codsoftinternship deep-learning handwritten-text-recognition internship-project keras machine-learning python rnn-tensorflow scikit-learn spam-detection
Last synced: 03 Nov 2024
https://github.com/alexstratou/predicting-heart-disease-risk-with-scikit-learn
Predicting heart disease risk using combined UCI data and machine learning
cardiovascular-diseases classification cvd heart heart-disease jupyter-notebook machine-learning python scikit-learn sklearn
Last synced: 03 Nov 2024
https://github.com/ledsouza/deep-learning-noticias
Este projeto visa construir dois modelos de Machine Learning: um para classificar notícias em diferentes categorias e outro para realizar o autocomplete de texto, prevendo a próxima palavra em uma frase. O conjunto de dados fornecido consiste em notícias de um site de notícias, já pré-processadas e armazenadas em um arquivo CSV.
deep-learning keras machine-learning python scikit-learn tensorflow
Last synced: 10 Oct 2024
https://github.com/alexliap/sk_serve
Deployment of a Scikit-Learn model and it's column transformations made easy.
machine-learning mlops model-deployment scikit-learn
Last synced: 10 Oct 2024
https://github.com/khanovico/energy-data-analysis
This is the cloud model analyzing real world dataset with BigQuery and other big-data analyzing tools. I implemented docker image for running this app on cross-platform environments.
big-data-processing bigquery docker google-app-engine jupyter-notebook mlflow python scikit-learn seaborn xgboost
Last synced: 10 Oct 2024
https://github.com/sudarsann27/basic_machine_learning_algorithms
Basic Machine learning algorithms using scikit-learn and other fundamental libraries
data-science data-visualization ensemble-model kaggle numpy pandas scikit-learn supervised-machine-learning
Last synced: 03 Nov 2024
https://github.com/archish27/pythontutorial
Python Programming Tutorial for new geeks who want to learn python from scratch to deal with various applications
matplotlib numpy pandas pygame python python-2 python-3 scikit-learn soup
Last synced: 12 Oct 2024
https://github.com/jingjing515/purchase-behavior-analysis
Purchase Behavior Analysis for Targeted Customer Segmentation
clustering-algorithm data-mining machine-learning python scikit-learn
Last synced: 03 Nov 2024
https://github.com/akash-nath29/mnist_test
Handwritten digit recognition API using Scikit-Learn and FastAPI
fastapi machine-learning scikit-learn
Last synced: 10 Oct 2024
https://github.com/prakharchoudhary/mlchallenge-2
My submission for machine learning challenge #2, organised by hackerEarth.
adaboost gradient-boosting-classifier jupyter-notebook machine-learning python scikit-learn
Last synced: 12 Oct 2024
https://github.com/rohitpawar001/machine_learning
This repository contains all the machine learning algorithms and the ml concepts.
classification hyperparameter-tuning linear-regression logistic-regression machine-learning naive-bayes numpy pandas python regression scikit-learn smote svm
Last synced: 10 Oct 2024
https://github.com/gliuck/diabetesprediction
Machine learning exam project, focused on predicting diabetes based on health and demographic data. The project uses models like Logistic Regression, KNN, SVM and NN to analyze and predict the likelihood of diabetes in individuals.
machine-learning machine-learning-models numpy-library pandas-library prediction-model python scikit-learn
Last synced: 03 Nov 2024
https://github.com/rosieoh/emergency_dataanalysis
오픈데이터분석-응급의료체계 방안 정책 제안 데이터 분석
ipython matplotlib numpy pandas python scikit-learn scipy
Last synced: 12 Oct 2024
https://github.com/khruthwik/potato-disease-classification
Potato Disease Classification - Training, Rest APIs, and Frontend to test.
convolutional-neural-networks deep-learning docker fastapi flask javascript keras keras-tensorflow python pytorch reactjs scikit-learn tensorflow
Last synced: 01 Nov 2024
https://github.com/nickklos10/concrete-compressive-strenght-prediction
This project predicts concrete compressive strength using a neural network regression model built with Keras.
jupyter-notebook keras matplotlib numpy pandas python scikit-learn
Last synced: 24 Oct 2024
https://github.com/nicofilips/cs50ai-harvard
Harvard University Online Course | CS50-AI | Artificial Intelligence with Python | Project Solution
artificial-intelligence harvardcs50 natural-language-processing neuronal-network nltk python scikit-learn tensorflow
Last synced: 14 Oct 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