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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/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/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/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/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/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/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/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/wwunlp/sner

𒈬 Sumerian Named Entity Recognition

machine-learning ner nlp python scikit-learn

Last synced: 13 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/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/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/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/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/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/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/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/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/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/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/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/reekrajroy/selflearning_chatbot

Self learning chatbot using python.

python scikit-learn

Last synced: 06 Nov 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/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/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/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/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/skekre98/picture-compressor

A tool for compressing images using unsupervised machine learning

kmeans-clustering scikit-learn

Last synced: 13 Oct 2024

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

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

flask scikit-learn

Last synced: 13 Oct 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: 14 Oct 2024

https://github.com/nirmalyabag20/loan-status-prediction-using-machine-learning

This project focuses on predicting the loan status (approved or not approved) based on various applicant details. The goal is to develop a machine learning model that accurately classifies whether a loan should be approved, helping financial institutions make informed lending decisions.

matplotlib numpy pandas python scikit-learn seaborn support-vector-machine

Last synced: 31 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/nirmalyabag20/crop-yield-prediction-using-machine-learning

This project uses machine learning to predict crop yields based on factors like region, crop type, rainfall, temperature, and pesticide use. By analyzing a dataset of over 28,000 records, the models provide accurate yield forecasts, helping optimize farming decisions and resource management, ultimately contributing to sustainable agriculture.

jupyter-notebook matplotlib numpy pandas python scikit-learn seaborn

Last synced: 31 Oct 2024

https://github.com/adzialocha/notebook

Jupyter notebooks for random experiments with audio processing, data analysis and machine learning

jupyter-notebook keras learning librosa music21 scikit-learn

Last synced: 05 Nov 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/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/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/mg380/ibm-applied-data-science-capstone

This Capstone is the 10th (final) course in IBM Data Science Professional Certificate specialization, and it actually summarises in the form of project all materials that have been learned during this specialization

capstone data data-analysis data-science datascience ibm machine-learning plotly python scikit-learn sql

Last synced: 10 Oct 2024

https://github.com/kingabzpro/water-quality-app

Building an Water Quality Classifier Application with o1-preview Model

chatgpt docker huggingface o1-preview 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/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/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/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/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/noahtigner/discoverdaily

A Spotify Recommender System. Trains a Classifier on your musical tastes and recommends songs daily. Uses the Spotify API and scikit-learn for machine learning.

machine-learning recommender-system scikit-learn spotify spotify-api

Last synced: 04 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/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/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/vectominist/mednlp

Mandarin Medical Dialogue Analysis with Pytorch.

dialog huggingface mandarin medical pytorch scikit-learn transformers

Last synced: 14 Oct 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/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/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/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/jesly-joji/spam-ham-classifier

Used Naive Bayes Algorithm, NLP Text Preprocessing Techniques

naive-bayes-classifier nlp scikit-learn streamlit text-preprocessing

Last synced: 01 Nov 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/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/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/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/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/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/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/rizz1406/spam-email-detector

Spam Email Classifier using Python and Streamlit A simple machine learning project that classifies emails as **spam** or **ham** using the **Naive Bayes algorithm** and **TF-IDF** for text feature extraction. The project includes a user-friendly web app built with Streamlit

nlp pandas pytho3 scikit-learn streamlit

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/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/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