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/alejoduarte23/ssi-cov
The SSICOV is a system identification method for structural health monitoring (SHM) using Stochastic Subspace Identification (SSI). It processes acceleration data to extract modal parameters of a structure.
matplotlib modal-analysis numpy scikit-learn scipy signal-processing system-identification
Last synced: 14 Oct 2024
https://github.com/oneapi-src/intelligent-indexing
AI Starter Kit for Intelligent Indexing of Incoming Correspondence using Intel® Extension for Scikit-learn*
Last synced: 05 Nov 2024
https://github.com/spags093/spotify_song_data
Part 1: Analysis of Spotify song data that uses Machine Learning to determine what features make a "hit" song on Spotify.
machine-learning matplotlib music pandas python scikit-learn seaborn shap spotify spotify-api tensorflow
Last synced: 03 Nov 2024
https://github.com/devamoghs/pos-tagger-nltk-scikit-learn
Part-Of-Speech Tagger using custom trained models, implemented with Scikit-Learn and NLTK
machine-learning natural-language-understanding nltk-library part-of-speech-tagger pos-tagger scikit-learn
Last synced: 28 Oct 2024
https://github.com/marella/evaluate
A tool to evaluate the performance of various machine learning algorithms and preprocessing steps to find a good baseline for a given task.
lightgbm machine-learning python scikit-learn xgboost
Last synced: 25 Oct 2024
https://github.com/thomasthaddeus/dataanalysistoolkit
DataAnalysisToolkit is a Python-based data analysis tool designed to streamline various data analysis tasks. It provides the ability to load data from CSV files, perform statistical calculations, detect outliers, clean data, and visualize data.
data-science matplotlib python python-script python3 scikit-learn
Last synced: 30 Oct 2024
https://github.com/ahmedshahriar/sentiment-analysis
Sentiment Analysis Projects
adam-optimizer data-science-projects deep-learning deep-neural-networks dense densely-connected-networks jupyter-notebook long-short-term-memory lstm-model lstm-sentiment-analysis machine-learning matplotlib numpy pandas scikit-learn sentiment-analysis tensorflow tensorflow-hub tensorflow-models tensorflow-text
Last synced: 03 Nov 2024
https://github.com/joseabrantesjr/previsai
O PrevisAI é uma aplicação que utiliza tecnica avançada de deep-learning para prever os preços de fechamento de ações, ETFs, Fundos Imobiliários, Criptomoedas, etc.
acoes criptomoedas deep-learning etf fii keras mercado-financeiro numpy pandas previsao python scikit-learn tensorflow trade trading yfinance
Last synced: 31 Oct 2024
https://github.com/jhrcook/100daysofpython
100 days, at least 1 hour a day, of learning the Python programming language.
100-days-of-code 100daysofcode continued-learning data-analysis data-science decision-trees deep-learning keras keras-tensorflow machine-learning neural-network neural-networks plots python python3 scikit-learn tensorflow
Last synced: 11 Oct 2024
https://github.com/szymciem8/openleap
Hand gesture Python module
gesture-recognition library machine-learning mediapipe opencv python scikit-learn
Last synced: 03 Nov 2024
https://github.com/msjahid/machine-learning-projects
A collection of machine learning projects featuring models and algorithms for supervised and unsupervised learning, model evaluation, and optimization.
jupyter matplotlib numpy pandas python scikit-learn seaborn
Last synced: 11 Oct 2024
https://github.com/engageintellect/bitcoin-price-predictor
This Python project predicts whether the price of Bitcoin will increase or decrease on the next day, using historical price data and machine learning. Additionally, the project visualizes Bitcoin's price movements using candlestick charts along with moving averages for different timeframes.
bitcoin machine-learning matplotlib mplfinance numpy pandas python scikit-learn visualization yfinance
Last synced: 09 Oct 2024
https://github.com/wwunlp/sner
𒈬 Sumerian Named Entity Recognition
machine-learning ner nlp python scikit-learn
Last synced: 13 Oct 2024
https://github.com/spockoo/pylegend
A fusion between Python and legend, a name that suggests that the code is both modern and mythical. 3 months of work, with tons of errors to establish the calculations necessary for the superposition, I want to publish my work and improve it and share it under Apache 2.0 License. Designed to work with NBminer!
crypto crypto-tools how-to-farm-crypto kerastuner matplotlib matrix-multiplication mining nbminer numpy performance-optimization pickle project quantum quantumcircuits quantumcomputing qubits scikit-learn tensorflow
Last synced: 10 Oct 2024
https://github.com/gxuravkumar911/tubedigest
Demonstrating expertise in Python and Django, TubeDigest is a robust web application that leverages NLTK and YouTube API for AI-powered video summarization.
artificial-intelligence django machine-learning natural-language-processing nltk python scikit-learn text-analysis tf-idf web-development
Last synced: 10 Oct 2024
https://github.com/jonperk318/machine-learning-analysis-of-hyperspectral-data
Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material
data-analysis data-science deep-neural-networks explained-variance hybrid-perovskite hyperspectral-image-classification machine-learning matplotlib nmf non-negative-matrix-factorization python pytorch scikit-learn semi-supervised-learning signal-processing solar-energy spectroscopy unsupervised-learning vae variational-autoencoder
Last synced: 06 Nov 2024
https://github.com/markdouthwaite/lingo
A package for quickly deploying Scikit-Learn Linear Models in Go.
golang linear-models machine-learning scikit-learn
Last synced: 13 Oct 2024
https://github.com/noahgift/ucdmsba-machine-learning
Supplemental Class Material for UC Davis MSBA Graduate Machine Learning Course
bax452 classification data-science deep-learning graduate-school jupyter-notebook machine-learning material python r regression scikit-learn supplemental uc-davis-msba
Last synced: 11 Oct 2024
https://github.com/alexandregazagnes/scikit-res
Very Basic package to store results of ML models Grid search results are hard to exploit. This package aims to store them in a more convenient way.
data machine-learning mlops mlops-workflow results scikit-learn
Last synced: 28 Oct 2024
https://github.com/magnusax/automl
The project aims to develop a customized ML framework on top of existing libraries
data-science machine-learning machine-learning-algorithms machine-learning-library python scikit-learn
Last synced: 14 Oct 2024
https://github.com/lorey/data-intensive-latex-documents
Python framwork for data-intensive LaTeX documents.
automation latex machine-learning scikit-learn sklearn
Last synced: 14 Oct 2024
https://github.com/rjlovespy/house-price-predictor
A Tkinter GUI whose predictions are based on an ML model that is trained by Random Forest Regressor
cx-freeze gui-development jupyter-notebook machine-learning-models numpy pandas py-to-exe python random-forest-regression scikit-learn tkinter-gui
Last synced: 18 Oct 2024
https://github.com/g0r0kh/clustering
k-means & hierarchical clustering
conda matplot numpy pandas scikit-learn scipy sklearn
Last synced: 14 Oct 2024
https://github.com/owenodriscoll/automl
Python package for automated hyperparameter-optimization of common machine-learning algorithms
automl catboost classification hyperparameter-optimization lightgbm machine-learning optuna regression scikit-learn xgboost
Last synced: 27 Oct 2024
https://github.com/metriccoders/metriccoders_notebooks
This is the Metric Coders repository containing all the notebooks for machine learning.
artificial-intelligence genai keras llm machine-learning natural-language-processing pytorch scikit-learn tensorflow
Last synced: 27 Oct 2024
https://github.com/gitstar-oc/machine-learning
This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!
deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning
Last synced: 13 Oct 2024
https://github.com/veb-101/machine-learning-practice
Contains code-works from the Hands on scikit-learn and tensorflow book
deep-learning keras machine-learning python3 scikit-learn tensorflow-gpu
Last synced: 05 Nov 2024
https://github.com/f-aguzzi/chemfusekit
Chemometrics library for data fusion, model training and prediction of data from multiple sensor sources.
chemometrics datafusion knn lda pca plsda scikit-learn svm
Last synced: 27 Oct 2024
https://github.com/texnoforge/texnomagic
TexnoMagic library for digital Magic
gmm magic numpy python recognition scikit-learn scipy
Last synced: 11 Oct 2024
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: 17 Oct 2024
https://github.com/mohammadreza-mohammadi94/data-analysis-and-machine-learning-projects
A comprehensive collection of data analysis and machine learning projects, showcasing techniques and models for various data challenges. Dive in to explore code examples, analyses, and machine learning workflows.
data-analysis data-science dataframes exploratory-data-analysis pandas python scikit-learn visualization
Last synced: 07 Nov 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: 31 Oct 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: 31 Oct 2024
https://github.com/nirmalyabag20/diabetes-prediction-using-machine-learning
This project focuses on predicting diabetes using machine learning algorithms based on health metrics like glucose levels, blood pressure, and BMI. By comparing different models, the goal is to identify the most accurate approach for early diabetes detection, showcasing the potential of machine learning in healthcare.
decision-tree-classifier jupyter-notebook kneighborsclassifier logistic-regression matplotlib numpy pandas python random-forest-classifier scikit-learn seaborn svc
Last synced: 31 Oct 2024
https://github.com/gappeah/income-prediction-ml
This is a machine learning project aimed at predicting whether an individual's annual income exceeds $50,000 based on their demographic and personal information.
data data-science machine-learning ml numpy pandas python random-forest scikit-learn
Last synced: 10 Oct 2024
https://github.com/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
anaconda jupyter-notebook machine-learning numpy pandas python3 scikit-learn
Last synced: 26 Oct 2024
https://github.com/farahibrar/programming-in-python
Explore a comprehensive collection of Python programming for diverse data analysis and data science projects. This repository covers data exploration, visualization, statistical analysis, machine learning, NLP, and model deployment. Perfect for enthusiasts looking to delve into practical examples and advanced techniques.
beautifulsoup dataanalysis docker flask folium jupyter-notebook machine-learning matplotlib nltk numpy pandas python pytorch scikit-learn scikitlearn scipy seaborn spacy statsmodels tensorflow
Last synced: 15 Oct 2024
https://github.com/troublem1/mle
MultiLabel-Transformer(MLE) is an extended version of a LabelEncoder, such that, it encodes multiple categorical columns to numeric in any workflow or pipeline
packages python3 scikit-learn sklearn
Last synced: 14 Oct 2024
https://github.com/edikedik/eboruta
Flexible and transparent Python Boruta implementation
ensemble-models feature-selection machine-learning python scikit-learn
Last synced: 13 Oct 2024
https://github.com/ayushshahh/fespn
A neural network made to predict final exam scores of students
mlp mlp-regressor multilayer-perceptron neural-network prediction-model scikit-learn
Last synced: 18 Oct 2024
https://github.com/minaskar/sinflow
Sliced Iterative Normalizing Flow with Minimal Dependencies
density-estimation machine-learning normalizing-flow normalizing-flows numpy sampling scikit-learn scipy spline splines
Last synced: 14 Oct 2024
https://github.com/jesly-joji/house-price-prediction
House Price Prediction using Linear Regression with Scikit-learn and Flask
Last synced: 13 Oct 2024
https://github.com/fabianacampanari/practicalstats-pucsp-2024
Statistical Measures in Python - Age and Salary Analysis
excel hipoteses-tests hypothesis-testing linear-regression math matplotlib numpy pandas probabilistic-data-structures probability-distribution probability-statistics pythob3 scikit-learn scipy scipy-stats seaborn statisctics statsmodels
Last synced: 26 Oct 2024
https://github.com/sd338/fractureai
This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.
css cv2 flask gorq html javascript matplotlib npm numpy pandas pydantic python react scikit-learn torch torchvision ultralytics
Last synced: 31 Oct 2024
https://github.com/tynab/inferential-statistics
CyberSoft Machine Learning 03 - Inferential Statistics
anaconda anaconda-navigator cybersoft cybersoft-academy inferential-statistics ipynb jupyter-notebook machine-learning machine-learning-03 matplotlib ml ml-03 numpy pandas py python scikit-learn scipy seaborn sklearn
Last synced: 11 Oct 2024
https://github.com/skekre98/picture-compressor
A tool for compressing images using unsupervised machine learning
kmeans-clustering scikit-learn
Last synced: 13 Oct 2024
https://github.com/0xpriyanshujha/ml-expedition
Machine Learning Assignments and Practice from zero
deeplearning jupyter kaggle machinelearning neural-network python scikit-learn tensorflow
Last synced: 11 Oct 2024
https://github.com/marty1885/scirknn
Convert and run scikit-learn models into RKNN2 format to run on Rockchip NPUs.
npu rknn rknpu2 rockchip scikit-learn
Last synced: 15 Oct 2024
https://github.com/bhuvaneshwarguttula/student-performance-indicator
To understand and predict how the student's performance (test scores) is affected by the other variables (Gender, Ethnicity, Parental level of education, Lunch, Test preparation course).
exploratory-data-analysis machine-learning pandas python scikit-learn student-performance-analysis
Last synced: 10 Oct 2024
https://github.com/ibrahimsharaf/kaggle-competitions
gensim kaggle kaggle-popcorn machine-learning nltk scikit-learn
Last synced: 28 Oct 2024
https://github.com/filipspl/optuml
Optuna-optimized ML methods, with scikit-learn like API
hyperparameter-optimization hyperparameter-tuning machine-learning optuna python python-module scikit-learn
Last synced: 12 Oct 2024
https://github.com/chanioxaris/german-credit-data
Experimental classification algorithms on german credit data implemented using scikit-learn library
classification classifier cross-validation dataset information-entropy information-gain naive-bayes prediction random-forest scikit-learn support-vector-machines
Last synced: 02 Nov 2024
https://github.com/snikumbh/seqarchr
seqArchR: Identifying (promoter) sequence architectures de novo using NMF
clustering nmf nonnegative-matrix-factorization promoter-sequence-architectures r r-package scikit-learn sequence-analysis sequence-architectures unsupervised-machine-learning
Last synced: 11 Oct 2024
https://github.com/aahnik/gdsc-ml-ds-bootcamp-2023
This repo contains files given by my seniors as well as assignments and final project done by me during the bootcamp.
data-science machine-learning ml numpy pandas python3 scikit-learn
Last synced: 11 Oct 2024
https://github.com/nirmalyabag20/breast-cancer-prediction-using-machine-learning
This project leverages machine learning to classify breast cancer as malignant or benign based on tumor characteristics. By applying and evaluating multiple algorithms, the model achieves high accuracy, demonstrating the practical application of data-driven solutions in medical diagnostics.
logistic-regression matplotlib numpy pandas python scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/i-am-nolan25/bells-palsy-ml-research
A machine learning model to grade the severity of Bell's palsy
artificial-intelligence dlib healthtech jupyter-notebook machine-learning matplotlib numpy opencv pandas python research scikit-learn scipy
Last synced: 11 Oct 2024
https://github.com/raihan4520/ml
A collection of machine learning projects showcasing various algorithms and techniques, including a final project for the Machine Learning course at AIUB.
data-preprocessing jupyter-notebook machine-learning model-evaluation numpy pandas python scikit-learn
Last synced: 31 Oct 2024
https://github.com/vaibhavs10/learn-ml
Modified notebooks (single) from kaggle.com/learn with added nuances
decision-trees machine-learning pandas random-forest scikit-learn
Last synced: 25 Oct 2024
https://github.com/ivanyu/kaggle-digit-recognizer
Kaggle's "Digit Recognizer" competition
kaggle keras machine-learning scikit-learn
Last synced: 15 Oct 2024
https://github.com/flysirin/adstextclassification
Classification of advertisements by topic
docker excel flask pandas python pytorch scikit-learn
Last synced: 13 Oct 2024
https://github.com/aakanksha1406/fake-news-classifier
to identify when an article might be fake news
keras lstm lstm-neural-networks nltk python scikit-learn tensorflow
Last synced: 10 Oct 2024
https://github.com/monzerdev/fake-news-detection
Project implementing machine learning models to detect fake news articles. Utilizes Deep Neural Networks, Support Vector Machines (SVM), and Ensemble methods (Random Forest). Developed using Python with scikit-learn, PyTorch, and nltk.
dnn fakenewsdetection machinelearning nlp nltk python pytorch random-forest scikit-learn svm
Last synced: 03 Nov 2024
https://github.com/khadkarajesh/wine-prediction
White and Red Wine classification using logistic regression
airflow airflow-dags classification classification-algorithm data-science dataingestion evidently flask logistic-regression logistic-regression-algorithm machine-learning machine-learning-pipeline mlflow numpy pandas pipeline postgresql python scikit-learn supervised-learning
Last synced: 11 Oct 2024
https://github.com/mindful-ai-assistants/credit-card-prediction
💳 This repository focuses on building a predictive model to assess the likelihood of credit card defaults. The project includes data analysis, feature engineering, and machine learning to provide accurate default predictions.
jupyter logistic-regression machine-learning python3 scikit-learn
Last synced: 21 Oct 2024
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: 13 Oct 2024
https://github.com/priyanshulathi/url-based-web-phishing-detection-model
A machine learning project for detecting phishing URLs by extracting key features from web addresses and applying various classification algorithms to identify potential threats effectively.
decision-tree knn logistic-regression machine-learning python random-forest scikit-learn
Last synced: 13 Oct 2024
https://github.com/corentinth/ml-gender_classification
[Machine Learning] The Hello Wolrd of Machine Learning using sklearn
body-metrics gender-classification machine-learning scikit-learn
Last synced: 02 Nov 2024
https://github.com/udityamerit/machine-learning-for-beginners
artificial-intelligence classification classification-algorithm clustering clustering-algorithm clustering-methods machine-learning machine-learning-algorithms matplotlib numpy pandas python regression-algorithms regression-analysis regression-models scikit-learn scipy tensorflow
Last synced: 17 Oct 2024
https://github.com/jofaval/pima-indian-diabetes
Data Analysis and Classification of Pima Indian Women's Diabetes in 1988
data-analysis data-science deep-learning google-colab kaggle logistic-regression machine-learning pima-diabetes-data python scikit-learn xgboost
Last synced: 21 Oct 2024
https://github.com/bestmahdi2/uni__dataminningstackoverflowproject
A university project related to data mining lesson on StackOverflow website data with Python language
cart csv data-mining logistic-regression matplotlib mlp naive-bayes nltk numpy pandas python scikit-learn scipy seaborn stackoverflow svc textblob tqdm xgboost
Last synced: 14 Oct 2024
https://github.com/swimshahriar/heart-attack-prediction
Heart attack prediction from 13 features.
jupyter-notebook pandas python3 scikit-learn
Last synced: 02 Nov 2024
https://github.com/udityamerit/all_mlpackages
The `all_MLpackage` is a Python tool for breast cancer detection using scikit-learn's machine learning algorithms. It automates model training, generates accuracy comparisons, and helps identify the best-performing algorithm for diagnosis.
classification knn-algorithm logistic-regression machine-learning numpy pandas scikit-learn svm-model
Last synced: 31 Oct 2024
https://github.com/sanu0711/healthcare-intelligence
Enhancing Patient Care through AI-Driven Disease Prediction
ai-health-assistant chatbot decision-tree-classifier disease-prediction djang generative-ai k-nearest-neighbours leafletjs map medication-details medication-history naive-bayes-classifier py random-forest-classifier scikit-learn sklearn support-vector-machines symptom-checker voice-search
Last synced: 12 Oct 2024
https://github.com/rajikaimal/emma
:santa: Intelligent mention bot for GitHub organizations
bot emma machine-learning python scikit-learn
Last synced: 27 Oct 2024
https://github.com/andi611/libsvm-classification
Performing classification tasks with the LibSVM toolkit on four different datasets: Iris, News, Abalone, and Income.
abalone abalone-dataset classification classification-algorithm data-mining income income-dataset iris iris-dataset libsvm libsvm-ready news-dataset newsgroups-dataset scikit-learn svm svm-classifier svm-training
Last synced: 14 Oct 2024
https://github.com/vectominist/mednlp
Mandarin Medical Dialogue Analysis with Pytorch.
dialog huggingface mandarin medical pytorch scikit-learn transformers
Last synced: 14 Oct 2024
https://github.com/jasper-koops/easy-gscv
This library allows you to quickly train machine learning classifiers by automatically splitting the data set and using both grid search and cross validation in the training process.
classification machine-learning python3 scikit-learn
Last synced: 23 Oct 2024
https://github.com/xushiyan/udacity-machine-learning
Content for Udacity's Machine Learning curriculum
jupyter-notebook machine-learning numpy pandas python reinforcement-learning scikit-learn supervised-learning udacity-machine-learning unsupervised-learning
Last synced: 13 Oct 2024
https://github.com/drreetusharma/molecular_innovations-for-kpgt-knowledge-guided-pre-training-of-graph-transformer-
Knowledge-guided-Pre-training-of-Graph-Transformer-
machine machine-learning neural-network pytorch rdkit scikit-learn
Last synced: 12 Oct 2024
https://github.com/metriccoders/metriccoders_datasets
This is the Metric Coders repository containing all the datasets for machine learning.
data datasets machine-learning natural-language-processing scikit-learn
Last synced: 05 Nov 2024
https://github.com/afonsojramos/feup-iart
Projects developed for Artificial Intelligence class.
feup feup-iart iart neural-network python scikit-learn tensorflow
Last synced: 13 Oct 2024
https://github.com/dustinmichels/bayesian-values-guesser
Uses some user input, data from the World Values Survey <www.worldvaluessurvey.org>, and Bayes Rule to guess a number of beliefs the user might have. STATUS: In progress.
bayes-rule bayesian-values-guesser naive-bayes-classifier pandas python scikit-learn values-survey
Last synced: 27 Oct 2024
https://github.com/kaleharshavardhan07/spam_mail-_detector_ai_model
This project implements a spam detection system for SMS messages using machine learning techniques.
mathplotlib nltk numpy panda python scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/offchan42/thai-thesis-classification
Classify each document inside the corpus using Python machine learning module: scikit-learn
nlp python python2 scikit-learn segment thai thai-language thai-thesis-classification
Last synced: 29 Oct 2024
https://github.com/jswong65/machine_learning_nanodegree
Projects of Udacity Machine Learning nanodegree
machine-learning numpy pandas python scikit-learn scipy
Last synced: 29 Oct 2024
https://github.com/gerdm/machine_learning
A repository with a bunch of machine learning
analyses data-science machine-learning machine-learning-algorithms scikit-learn
Last synced: 29 Oct 2024
https://github.com/chrislemke/scikit-tabtrans
TabTransformer ready for Scikit learn 🧑🔬
deep-learning machine-learning python scikit-learn transformer
Last synced: 11 Oct 2024
https://github.com/prajwalsinha/unveiling-climate-change-dynamics-through-earth-surface-temperature-analysis
Climate change analysis through global surface temperature data. Includes data preprocessing, statistical analysis, visualizations, and forecasting. Python-based project using Pandas, Matplotlib, and Scikit-learn.
data dataanalysis dynamic-mapping pyplot python scikit-learn seaborn
Last synced: 03 Nov 2024
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/md-emon-hasan/ml-project-car-price-prediction
🚗 End-to-end ML project for predicting car prices based on various features. Includes data preprocessing, model training, and a Flask web for predictions.
car-price-prediction car-price-predictor data-science feature-engineering ml predictive-modeling scikit-learn
Last synced: 10 Oct 2024
https://github.com/shliakhovai/house-price-prediction
This repository contains a complete machine learning pipeline for predicting housing prices. It includes data preprocessing, feature engineering, and model training and evaluation components, designed to provide a robust solution for regression tasks.
data-science machine-learning matplotlib numpy pandas prediction python regression scikit-learn seaborn
Last synced: 03 Nov 2024
https://github.com/ksatrajit0/heart-disease-prediction-ml
Predicts the risk of heart attack in a patient using their medical record
heart-disease-prediction machine-learning matplotlib numpy pandas scikit-learn seaborn
Last synced: 31 Oct 2024
https://github.com/2003harsh/house-price-prediction-using-machine-learning
This project features a web app that predicts house prices using a linear regression model. Users can input details like location, square footage, bathrooms, and bedrooms through an HTML form. I've added a CI/CD pipeline with GitHub Actions, unit testing with pytest, and automated Docker containerization to improve deployment and robustness.
ci-cd data-analysis docker-image flask linear-regression machine-learning matplotlib mlops-workflow requests scikit-learn
Last synced: 10 Oct 2024
https://github.com/vishal-038/attendance_by_face_recogination
This project is a face recognition-based attendance system that uses Python, OpenCV, Scikit-learn, Streamlit, and various other libraries like Pandas, Numpy, Datetime, and OS for different functionalities. It enables adding faces to the database, taking attendance based on face recognition, and showing live attendance through a web interface built
Last synced: 09 Oct 2024
https://github.com/grampers-dev/co2oracle
The CO2 Oracle project uses machine learning and AI to analyze and predict CO2 emissions for environmental management. Using a Kaggle dataset, it demonstrates predictive analytics to understand and forecast emissions. Written in Python, it employs libraries like Pandas, NumPy, and Scikit-Learn.
artificial-intelligence machine-learning numpy pandas python scikit-learn
Last synced: 10 Oct 2024
https://github.com/michaelradu/computational-physics
A collection of Jupyter notebooks demonstrating the use of Python to solve classical and modern physics problems through computational modeling.
computational-model computational-modeling computational-physics education educational jupyter jupyter-notebook latex matplotlib notebook notebooks numerical-analysis numerical-methods numpy physics physics-analysis physics-simulation python scikit-learn
Last synced: 03 Nov 2024
https://github.com/rakshit-vasava/predictive-analytics-for-insurance-purchase
Predicting customer insurance purchases using stacking models and SMOTE for the Homesite Quote Conversion Problem on Kaggle.
k-nearest-neighbours kaggle-competition multilayer-perceptron python random-forest scikit-learn smote support-vector-machines
Last synced: 31 Oct 2024
https://github.com/anumit-web/ml-masterlist-2024
ML Masterlist, Machine Learning, 2024
image-segmentation kmeans-clustering machine-learning matplotlib numpy pandas reinforcement-learning scikit-learn supervised-learning unsupervised-learning
Last synced: 03 Nov 2024
https://github.com/timzatko/fifa-19-dataset-machine-learning
Player's value prediction and game position classification on FIFA 19 dataset.
data-analysis fifa19 machine-learning scikit-learn
Last synced: 11 Oct 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: 11 Oct 2024