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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/juliandavidmr/machinelearningscikit

Clasificador de flores mediante aprendizaje supervisado

neural-network python scikit-learn sklearn

Last synced: 11 Oct 2024

https://github.com/imsanjoykb/automated-spam-mail-detection-and-flask-deployment

This is an simple NLP project in which the model is able to predict the incoming mail whether it is spam or not spam(ham). As we seen in gmail automatically the mail is classified and stored in spam or inbox so this project is prototype.

flask machine-learning naive-bayes-classifier nlp python scikit-learn

Last synced: 12 Oct 2024

https://github.com/oneapi-src/purchase-prediction

AI Starter Kit for Purchase Prediction model using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 05 Nov 2024

https://github.com/kamomille/titanic

Auriez vous survécu au naufrage du Titanic ?

data-science jupiter-notebook machine-learning scikit-learn titanic

Last synced: 28 Oct 2024

https://github.com/superbderrick/creditratingprediction

A simple data prediction system that evaluates creditRating with a little bit data

scikit-learn tensorflow

Last synced: 06 Nov 2024

https://github.com/oneapi-src/intelligent-indexing

AI Starter Kit for Intelligent Indexing of Incoming Correspondence using Intel® Extension for Scikit-learn*

machine-learning scikit-learn

Last synced: 05 Nov 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/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/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/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/cyberfantics/bitcoin-price-prediction

A deep learning-based web app for predicting future Bitcoin prices using historical data. Users can interactively select prediction days and view recent price data in real-time.

artificial-intelligence artificial-neural-networks bitcoin deep-learning machine-learning neural-network prediction-model scikit-learn tensorflow

Last synced: 02 Nov 2024

https://github.com/plantaest/feverfew

Comprehensive link checker tool for Wikipedia

aws-lambda caddy java mantine onnx python quarkus react scikit-learn typescript

Last synced: 14 Oct 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/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/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/pr38/dask_tfidf

A Dask native implementation of 'Term Frequency Inverse Document Frequency' for dask-ml and scikit-learn

dask dask-ml distributed-computing machine-learning python scikit-learn

Last synced: 27 Oct 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/andreasgrv/tictacs

Machine learning pipeline configuration on steroids (on tictacs actually)

config pipeline reflection scikit-learn

Last synced: 11 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/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/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/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/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/udityamerit/python-librearies-for-data-science

Python libraries for data science enable efficient data manipulation, analysis, and modeling. Key libraries include NumPy for numerical computing, pandas for data handling, Matplotlib for visualization, Scikit-learn for machine learning, TensorFlow for deep learning, and BeautifulSoup/requests for web scraping. These libraries simplify complex data

beautifulsoup data data-science data-science-libraries machine-learning matplotlib numpy pandas requests scikit-learn scikitlearn-machine-learning tensorflow

Last synced: 08 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/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/reekrajroy/selflearning_chatbot

Self learning chatbot using python.

python scikit-learn

Last synced: 06 Nov 2024

https://github.com/rutujar/scikit-learn

Scikit learn is applied for Androsensor (available in google play store) datasets and iris data sets.

jupyter-notebook linear-regression machine-learning python scikit-learn svm

Last synced: 13 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/sayakpaul/patients-conversation-detector

Contains my experiments for ZS's hiring hackathon (II).

data-science keras machine-learning nlp python scikit-learn text-classification

Last synced: 28 Oct 2024

https://github.com/zacheddy/issuelabeler

Automatically label issues on GitHub repositories with machine learnin' (demo available)

classifier machine-learning python scikit-learn

Last synced: 14 Oct 2024

https://github.com/aadityatamrakar/captcha_ai

ML program to decode text from captcha images.

matplotlib python scikit-learn sklearn

Last synced: 14 Oct 2024

https://github.com/krzjoa/scikit-gbm

scikit-learn compatible tools to work with GBM models

data-science feature-engineering gbm gradient-boosting machine-learning scikit-learn

Last synced: 07 Nov 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/aianytime/recommendation_system_implementation

Complete concepts behind implementing a Recommendation System using Association Rules, Collaborative Filtering, and Matrix Factorization.

collaborative-filtering data-science machine-learning matrix-factorization python recommender-system scikit-learn

Last synced: 07 Nov 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/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/thenorthkun/twitter-gender-text-analysis

This Project contains a vivid analysis of texts, words (using NLP) typed by Male & Female users active on Twitter. 🐦👨📝

analysis data-visualization natural-language-processing scikit-learn

Last synced: 14 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/andreped/nlp-mtl

Training neural networks to solve multiple tasks simultaneously from free text through multi-task learning

bert-embeddings keras multi-task-learning natural-language-processing neural-networks nlp scikit-learn

Last synced: 07 Nov 2024

https://github.com/kohlerhector/tree-mbpo

Study Model-Based Policy Optimization by varying the model estimator classes (e.g Decision Trees vs MLP)

decision-tree mbpo mbrl mlp rl sac scikit-learn stable-baselines3

Last synced: 08 Nov 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/facultyai/faculty-xval

Cross-validation of Keras and scikit-learn models with the Faculty platform

cross-validation faculty-platform keras machine-learning python scikit-learn

Last synced: 08 Nov 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/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/rs2416/Detecting_Social_Anxiety

This repository contains the full dataset and code needed to recreate the classification models and reproduce the results within this paper: https://formative.jmir.org/2021/10/e32656/

jupyter-notebook machine-learning python scikit-learn social-anxiety

Last synced: 03 Aug 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/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/swaathi/cpt-recommendation

Collaborative Filtering using User-Item and Item-Item Models

collaborative-filtering numpy recommendation-system scikit-learn

Last synced: 30 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/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/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/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/kawai-senpai/info-through-app-usage

This project aims to predict the gender of individuals based on their app usage patterns. The project leverages data collected through a custom survey to train machine learning models. By analyzing various app usage statistics, such as time spent on different categories of apps, we aim to determine the user's gender with high accuracy.

ad-tech gender-prediction prediction-model profession-prediction scikit-learn survery

Last synced: 08 Nov 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/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/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/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

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/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: 03 Nov 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: 05 Nov 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/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/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/vectominist/mednlp

Mandarin Medical Dialogue Analysis with Pytorch.

dialog huggingface mandarin medical pytorch scikit-learn transformers

Last synced: 14 Oct 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/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/kingabzpro/mlops-with-jenkins

From data ingestion to deploying the model using Jenkins.

classification fastapi jenkins mlops 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