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scikit-learn

scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

https://github.com/tritonix711/ai-content-verifier

AI Content Verifier is a tool that finds out if text is written by AI or humans. It uses machine learning and natural language processing to give clear results and confidence scores. With an easy-to-use interface, it helps everyone from researchers to content creators check if the content is real or not.

git machine-learning nlp nltk numpy pandas python scikit-learn spacy tkinter

Last synced: 09 Jan 2025

https://github.com/subhangisati/identification-of-gemstone-using-mobilenetv2-and-transfer-learning

The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2

artificial-intelligence classification computer-vision convolutional-neural-networks cv2-library data-science deep-learning deep-neural-networks keras-neural-networks keras-tensorflow machine-learning multiclass-image-classification numpy-library pandas-dataframe python scikit-learn seaborn-python tensorflow

Last synced: 01 Jan 2025

https://github.com/gappeah/ethereum-prediction-ml

A machine learning project that predicts the future price of Ethereum (ETH) using the price data gathered from coincodex.com.

crypto cryptocurrency ethereum jupyternotebook lstm lstm-neural-networks machine-learning machine-learning-algorithms python scikit-learn scikitlearn-machine-learning sklean svm tensorflow

Last synced: 10 Nov 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/zehengl/ez-cuisine-classifier

A Streamlit app to predict what is cooking

fastai flask python scikit-learn

Last synced: 23 Nov 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/drreetusharma/molecular_innovations-for-kpgt-knowledge-guided-pre-training-of-graph-transformer-

Knowledge-guided-Pre-training-of-Graph-Transformer: The primary aim of this project is to leverage knowledge-guided pre-training techniques for enhancing the performance of graph transformers in molecular property prediction and drug discovery.

machine machine-learning neural-network pytorch rdkit scikit-learn

Last synced: 17 Nov 2024

https://github.com/benjdiasaad/random_forest

Présentation pptx sur l'algorithme Random Forest et l'utilisation de la forêt aléatoire pour un problème de régression

algorithme-random-forest data-mining decision-tree ensemble-learning machine-learning random-forest random-forest-regression scikit-learn supervised-learning

Last synced: 19 Nov 2024

https://github.com/k5924/stockpredictor

A stock price predictor built using python and tensforflow

python scikit-learn stock-price-prediction tensorflow

Last synced: 04 Jan 2025

https://github.com/ksalama/gcp-ml-serving

Examples of how to serve ML models on GCP

app-engine dataflow kubernetes machine-learning scikit-learn tensorflow

Last synced: 04 Dec 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.

artificial-intelligence data-analysis data-science jupyter logistic-regression machine-learning predictive-modeling python3 scikit-learn

Last synced: 09 Dec 2024

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/bhavik-jikadara/ai-ml-roadmap

Welcome to the ultimate guide for starting your journey in Artificial Intelligence and Machine Learning in 2024! This roadmap provides a step-by-step approach to mastering AI and ML, from fundamentals to advanced topics.

artificial-intelligence computer-vision deep-learning deployment fundamentals-of-programming keras libraries machine-learning mathematics mlops natural-language-processing production-code pytorch reinforcement-learning roadmap scikit-learn tensorflow tools

Last synced: 09 Nov 2024

https://github.com/ranjan2104/diabetes-prediction-application

It is a Model that Predict the Diabetes Status of any person by just giving the some observations so that take the decision on that with the accuracy of 93%+. Due to Trained Model with Data sets so that able to predict very carefully on the previous decision it is supervised learning model using an algorithm is Linear regression and Sklearn for testing and Training the Model and Flask is Uses in Backend and in Frontend HTML, CSS, Js is Using.

flask gunicorn itsdangerous jinja2 markupsafe matplotlib numpy pandas scikit-learn scipy werkzeug

Last synced: 08 Jan 2025

https://github.com/mgobeaalcoba/inferential_statistics_with_python

Explore the world of inferential statistics using Python. Learn hypothesis testing, confidence intervals, and statistical analysis techniques for data-driven decision-making and insights.

google-colab inferential-statistics jupyter-notebook matplotlib numpy pandas python3 scikit-learn seaborn statistics

Last synced: 19 Nov 2024

https://github.com/andreasgrv/tictacs

Machine learning pipeline configuration on steroids (on tictacs actually)

config pipeline reflection scikit-learn

Last synced: 11 Oct 2024

https://github.com/udityamerit/breast-cancer-prediction-using-different-ml-models

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: 15 Dec 2024

https://github.com/kohlerhector/dpdt-py

Implementation of Dynamic Programming Decision Tree algorithm (Kohler et. al. 2024).

decision-tree-classifier decision-trees dynamic-programming scikit-learn scikitlearn-machine-learning sklearn sklearn-classifier

Last synced: 08 Nov 2024

https://github.com/shourya1997/programming-language-detector

The Software will enable the user to detect the programming language without the help of file extension.

machine-learning python scikit-learn scikitlearn-machine-learning

Last synced: 11 Nov 2024

https://github.com/haloapping/malas-ngetik-clf

Saya malas ngetik, makanya saya buat aja template proyek kompetisi Kaggle 😜. Template ini khusus untuk kasus klasifikasi.

data-analysis exploratory-data-analysis feature-engineering kaggle kaggle-competition machine-learning python3 scikit-learn

Last synced: 06 Jan 2025

https://github.com/shreyansh055/time-series-forecasting_055

The Time Series Forecasting Project predicts future trends using historical data with Python, Pandas, and models like ARIMA, LSTM, and Prophet, focusing on scalable, accurate forecasting for business and finance.

lstm matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/raul23/ebook-classifier-training

Part 1: Experimenting with training an ebook classifier

ebooks machine-learning nlp python scikit-learn sklearn text-classification

Last synced: 14 Nov 2024

https://github.com/sn1027/hand-gesture-recognition-using-machine-learning-and-mediapipe

This Hand gesture recognition project using mediapipe is developed to recognize various hand gestures. The user can custom train any number of various hand gestures to train a model.

computer-vision customization custommodels handgesture-recognition machine-learning mediapipe modeltraining scikit-learn scikitlearn-machine-learning

Last synced: 23 Nov 2024

https://github.com/alextanhongpin/spam-api

Microservices for spam filtering system

python scikit-learn

Last synced: 02 Dec 2024

https://github.com/sa-y-an/omrnet

Neural Networks to evaluate OMR Sheets

computer-vision neural-network quantization scikit-learn tensorflow

Last synced: 04 Dec 2024

https://github.com/rahamniabdelkaderseifelislem/prodigy_ml_01

Task 1 of the Prodigy InfoTech ML internship which involves building a basic Linear Regression model.

linear-regression machine-learning machine-learning-models predictive-modeling python scikit-learn

Last synced: 23 Nov 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: 22 Nov 2024

https://github.com/ysayaovong/car-sales

An analysis of car sales data to uncover market trends and insights through data cleaning, analysis, and visualization.

automotive business-analysis data-analysis data-cleaning data-visualization market-trends matplotlib pandas python sales-data scikit-learn seaborn

Last synced: 23 Nov 2024

https://github.com/jesly-joji/house-price-prediction

House Price Prediction using Linear Regression with Scikit-learn and Flask

flask regression scikit-learn

Last synced: 22 Nov 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: 07 Dec 2024

https://github.com/jersongb22/computervision

Links to my repositories with a wide variety of Computer Vision models using CNNs, Transfer Learning, and Vision Transformer with TensorFlow, PyTorch, Hugging Face and Ultralytics.

cnn computer-vision efficientnetv2 hugging-face image-captioning image-classification image-segmentation lenet-5 object-detection opencv plotly python pytorch scikit-learn tensorflow tensorflow-hub ultralytics video-classification vision-transformer yolo11

Last synced: 05 Dec 2024

https://github.com/nafisalawalidris/logistic-regression-model-for-breast-cancer-recurrence-prediction

Predicting Breast Cancer Recurrence - A logistic regression model using patient attributes to classify recurrence risk. Dataset analysis and model evaluation. Contributions welcome.

breast-cancer classification-model data-analysis data-science healthcare logistic-regression machine-learning python recurrence-prediction scikit-learn

Last synced: 22 Nov 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 Nov 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: 22 Nov 2024

https://github.com/flysirin/adstextclassification

Classification of advertisements by topic

docker excel flask pandas python pytorch scikit-learn

Last synced: 22 Nov 2024

https://github.com/zazi2002/machine-learning-project

Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.

dimentionality-reduction ensemble-learning numpy pca random-forest scikit-learn

Last synced: 28 Dec 2024

https://github.com/h-fuzzy-logic/python-finding-nsf-award-themes

Using NLP to find themes and concepts in NSF Awards

nltk pandas python scikit-learn

Last synced: 15 Dec 2024

https://github.com/ishanoshada/matplot3dex

A Matplotlib 3D Extension package for enhanced data visualization

data data-science matplotlib python-packages scikit-learn

Last synced: 01 Dec 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: 01 Dec 2024

https://github.com/magnuss0/movie-rec-system

The project extracts movie data using TheMovieDB API, processes it using TF-IDF and cosine similarity for generating recommendations, and stores the data in a DuckDB database. The system is encapsulated within a FastAPI web application and can be deployed using Docker. It provides movie recommendations in JSON format.

cosine-similarity docker duckdb movies-recommendation moviesdb-api ploomber poetry-python scikit-learn streamlit tf-idf

Last synced: 25 Nov 2024

https://github.com/anans9/ham-spam-analysis

A significant aspect of this application is its advanced ham and spam analysis system. This feature is crucial in maintaining the integrity and quality of the email content.

flask matplotlib pandas python scikit-learn

Last synced: 28 Dec 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: 20 Dec 2024

https://github.com/spamfromaditya/drugs-consumption-prediction-model-eda-bagging-classifier

Drug consumption prediction models are like crystal balls for public health. By analyzing vast amounts of data, these models can identify individuals or communities at higher risk of drug use. They consider factors like demographics, social media activity, prescription history, and even economic indicators.

bagging-classifier machine-learning matplotlib numpy python scikit-learn

Last synced: 31 Dec 2024

https://github.com/canayter/unsupervised-machine-learning

Utilizing Python and unsupervised learning to predict if cryptocurrencies are affected by 24-hour or 7-day price changes.

k-means-clustering python scikit-learn unsupervised-machine-learning

Last synced: 09 Jan 2025

https://github.com/jersongb22/datascience_ibm_stockpredictionlstm_project

In the IBM Advanced Data Science specialization, an interactive real-time web application was developed using LSTM networks in TensorFlow to predict stock market trends for global companies.

apache-spark data-science deep-learning lstm-neural-networks machine machine-learning plotly python scikit-learn streamlit tensorflow

Last synced: 25 Nov 2024

https://github.com/oneapi-src/product-recommendations

AI Starter Kit for product recommendation system using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/francescopaolol/favoritatimeseriesforecasting

See: https://www.kaggle.com/competitions/store-sales-time-series-forecasting

jupyter-notebook kaggle-competition machine-learning pandas scikit-learn

Last synced: 22 Dec 2024

https://github.com/francescopaolol/titaniccompetition

It's my first kaggle competition about predict survival on the Titanic and get familiar with ML basics

jupyter-notebook kaggle-competition machine-learning ml pandas scikit-learn

Last synced: 22 Dec 2024

https://github.com/shaadclt/data-preprocessing-pipeline

This project contains a data preprocessing pipeline implemented in Python using the pandas and numpy libraries. The pipeline handles missing values, outliers, and normalizes numeric features in a dataset.

numpy pandas scikit-learn

Last synced: 07 Dec 2024

https://github.com/mehmoodulhaq570/machine-learning-models

A repository consisting of machine learning models for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.

decision-trees gradient-descent gradient-descent-algorithm knn-algorithm linear-regression linear-regression-models logistic-regression-algorithm machine-learning-algorithms machine-learning-models ml naive-bayes-algorithm one-hot-encoding pca python random-forest-classifier scikit-learn svm-model

Last synced: 22 Dec 2024

https://github.com/nemeslaszlo/heart-disease

Heart disease classification project with different models (LogisticRegression, KNeighboursClassifier, RandomForestClassifier) and detailed reports.

classification knearest-neighbor-classifier logistic-regression mathplotlib numpy pandas randomforest-classification scikit-learn seaborn

Last synced: 01 Dec 2024

https://github.com/francescopaolol/decisiontree

About classify iris plants into three species in this classic dataset

decision-tree-classifier jupyter-notebook kaggle machine-learning ml pandas scikit-learn

Last synced: 22 Dec 2024

https://github.com/colinwu0403/heartbpmusic

Music discovery platform that recommends you a song based on your heart's BPM and your mood using Machine Learning.

django neurokit2 scikit-learn spotify-web-api vuejs

Last synced: 08 Jan 2025

https://github.com/jdavydovportfolio/careerpredictor

A project leveraging AI and Machine Learning (Logistic Regression) to predict graduate job placements. Includes data preprocessing, exploratory analysis, and predictive modeling.

artificial-intelligence exploratory-data-analysis jupyter-notebook linear-regression logistic-regression machine-learning machine-learning-algorithms machine-learning-models matplotlib ml numpy pandas pandas-dataframe predictive-modeling programming python scikit-learn

Last synced: 07 Dec 2024

https://github.com/m-rishab/credbet

A loan prediction web app which tells You that you are eligible for loan or not!

decision-tree-classifier matplotlib numpy pandas python scikit-learn

Last synced: 21 Nov 2024

https://github.com/gmontamat/quora-question-pairs

Code for the Kaggle competition "Quora Question Pairs"

kaggle-competition quora-question-pairs scikit-learn spell-checker xgboost

Last synced: 30 Oct 2024

https://github.com/aryank1511/wattwise

WattWise is an innovative energy-saving app that uses an Arduino-powered device to monitor and predict household electricity usage and bills in real-time.

arduino docker flask machine-learning mqtt nextjs scikit-learn

Last synced: 10 Oct 2024

https://github.com/tharindanimnajith/deep-learning-spam-detection

Deep Learning classifiers to detect spam SMS messages - LSTM Model, DenseNet CNN Models - NLP, Python, Jupyter Notebook, Tensorflow, Keras, Numpy, Pandas, Matplotlib, Scikit-Learn

deep-learning densenet keras lstm nlp python3 scikit-learn tensorflow

Last synced: 25 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/francescopaolol/logisticregression

About predicting survival on the Titanic and get familiar with ML basics

jupyter-notebook kaggle logistic-regression machine-learning ml pandas scikit-learn

Last synced: 22 Dec 2024

https://github.com/ax-va/numpy-pandas-matplotlib-scikit-learn-vanderplas-2023

These examples provide an introduction to Data Science and classic Machine Learning using NumPy, Pandas, Matplotlib, and scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly Media in 2023.

ax-va classic-machine-learning data-science machine-learning matplotlib numpy pandas python scikit-learn

Last synced: 18 Nov 2024

https://github.com/soumya6tiwari/customer-segmentation-using-rfm-analysis

This project focuses on customer segmentation using RFM (Recency, Frequency, Monetary) analysis and K-Means clustering. It enables businesses to identify high-value customers, optimize marketing strategies, and improve customer retention through data-driven insights.

backend clustering flask frontend kmeans-clustering matplotlib numpy pandas python rfm-analysis scikit-learn unsupervised-learning

Last synced: 21 Dec 2024

https://github.com/zen204/airbnb_availability

A machine learning model that predicts Airbnb listing availability, utilizing feature engineering and supervised learning techniques to improve guest experience and optimize host management.

binary-classification data-analysis data-preprocessing data-visualization feature-engineering machine-learning matplotlib model-evaluation nlp pandas predictive-modeling python scikit-learn seaborn supervised-learning

Last synced: 03 Nov 2024

https://github.com/pockerman/tech3python

Collection of Python based algorithms on numerics, statistics, control etc

algorithms control estimation kalman-filter machine-learning numerical-methods particle-filter python3 scikit-learn statistics

Last synced: 06 Jan 2025

https://github.com/ewertondrigues02/previsao-de-vendas

Previsão de vendas de uma empresa fictícia onde foi feita análise com ferramentas como Jupyter Notebook, Google Colab, Python e bibliotecas de Machine Learn como: regressão linear, arvore de decisão, scikit-learn

analise-de-dados analise-exploratoria arvore-de-decisao ciencia-de-dados colab excel google-colab jupyter jupyter-notebook machine-learning previsao previsao-de-vendas python3 regressao-linear scikit-learn

Last synced: 18 Nov 2024

https://github.com/prithivsakthiur/data-board

Data Boards - Visualization of various plots ( Analysis )

data-analysis gradio huggingface keras mathplotlib pandas plots pyplot scikit-learn seaborn spaces

Last synced: 21 Dec 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/francescopaolol/sentimentanalysis

About sentiment analysis on IMDB Dataset of 50K Movie Reviews

jupyter-notebook kaggle machine-learning ml pandas scikit-learn sentiment-analysis

Last synced: 22 Dec 2024

https://github.com/tsu2000/audit_risk

Machine learning web app in Streamlit about classifying fraudulent companies using various classification models.

machine-learning plotly python random-forest scikit-learn streamlit-webapp

Last synced: 22 Nov 2024

https://github.com/upul/chocolate-quality-analysis

This repository contains a Jupiter notebook which describes how to use basic machine learning tools such Scikit-Learning, Pandas, and Numpy for buiding models.

machine-learning numpy pandas predictive-analytics scikit-learn

Last synced: 18 Nov 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/sethios-notebook/__ia_learnig__

Formation Python spéciale Machine Learning francais. Apprendre Python en 30 fichiers qui contiennent une formation sur Numpy, Pandas, Matplotlib, Scipy, Sklearn, Seaborn, H5py, et bien d'autres techniques. Python est le langage d'excellence pour le machine learning, le deep learning, et la data science.

iac machine-learning matplotlib numpy python scikit-learn

Last synced: 21 Dec 2024

scikit-learn Awesome Lists
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scikit-learn Categories
Other Awesome Lists 64 General 31 Deep Learning 11 Data Manipulation 8 Machine Learning 7 Visualization 6 Deployment 6 Model Explanation 5 Probabilistic Methods 5 Optimization 4 Reinforcement Learning 4 Computations 4 Time Series 3 Natural Language Processing 3 Web Scraping 3 Experimentation 2 Distributed Computing 2 Computer Vision 2 Feature Engineering 2 Automated Machine Learning 2