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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/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/arturobp3/machine_learning

Projects that has been developed in the Machine Learning and Big Data subject. Python is the programming language used in them.

linear-regression neural-network numpy pandas python scikit-learn support-vector-machines

Last synced: 17 Nov 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: 28 Nov 2024

https://github.com/rickiepark/sklearn-tutorial

사이킷런 정주행 튜토리얼

machine-learning python scikit-learn

Last synced: 21 Dec 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/alvertogit/datascience

Data Science AI Artificial Intelligence Machine Deep Learning Classification Regression Python Keras TensorFlow TensorFlow2 TPOT XGBoost Matplotlib NumPy Pandas scikit-learn Folium Seaborn Jupyter Lab Notebook

artificial-intelligence data-science deep-learning jupyter-lab jupyter-notebook keras machine-learning matplotlib pandas python scikit-learn tensorflow tensorflow2

Last synced: 23 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/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/wwunlp/sner

𒈬 Sumerian Named Entity Recognition

machine-learning ner nlp python scikit-learn

Last synced: 18 Dec 2024

https://github.com/superbderrick/creditratingprediction

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

scikit-learn tensorflow

Last synced: 24 Dec 2024

https://github.com/arnabsaha7/piezoelectric-roads-implementation

This repository implements a piezoelectric road system in Python, leveraging Pandas, NumPy, scikit-learn, Matplotlib, and Seaborn. The requirements.txt file ensures version consistency for reproducibility.

pandas-python piezoelectric roads scikit-learn

Last synced: 13 Nov 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: 14 Dec 2024

https://github.com/namratha2301/intrusiondetection

Intrustion Detection Models based on Internet Traffic Data obtained from the NSL-KDD Dataset

decisiontree gradient-boosting intrusion-detection mlp-classifier naive-bayes-classifier nsl-kdd randomforest scikit-learn

Last synced: 30 Nov 2024

https://github.com/bhattbhavesh91/selectkbest-from-scratch

Implementing SelectKBest from Scratch for a Regression problem

feature-selection regression scikit-learn selectkbest

Last synced: 16 Nov 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: 13 Dec 2024

https://github.com/michaelsdavid/charcnn

A convolutional neural network that has detection for English characters (letters) written by hand.

character-recognition cnn-model convolutional-neural-network keras opencv2-python python3 scikit-learn tensorflow

Last synced: 16 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/dineshh912/machine-learning

Machine Learning basic model building with sci kit and create algorithm from scratch and many more

algorithm machine-learning python3 rnn-tensorflow scikit-learn tensorflow

Last synced: 13 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: 22 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: 19 Dec 2024

https://github.com/wwtg99/predict_height

Predict height by gender and genotypes using machine learning.

genotype height machine-learning scikit-learn

Last synced: 20 Dec 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: 11 Nov 2024

https://github.com/joshua-dias-barreto/diabetes-predictor

The objective of this project is to accurately predict whether a person has diabetes or not

colab-notebook deep-learning diabetes-prediction diabetic-retinopathy-detection logistic-regression machine-learning scikit-learn svm

Last synced: 12 Nov 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/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/mjahmadee/machinelearning2023

Welcome to the official GitHub repository for the "Machine Learning" course 2023! In this course, we explore the fascinating world of machine learning, diving deep into the algorithms, techniques, and tools that enable computers to learn from data and make intelligent decisions.

machine-learning python scikit-learn

Last synced: 12 Nov 2024

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/mekhyw/facial-emotion-classification

Very fast classification model for facial expressions using Mediapipe facial landmarks, Scikit-learn and OpenCV, as part of the DYNAMO project

keras-tensorflow mediapipe opencv scikit-learn spektral

Last synced: 12 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: 29 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/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/shreyansh055/dynamic_pricing_strategy_055

Dynamic Pricing Strategy Project: This project utilizes machine learning algorithms in Python to optimize ride-sharing prices through real-time demand and supply analysis. By leveraging historical Uber data, it dynamically adjusts prices to maximize revenue and improve customer satisfaction.

machine-learning numpy pandas python scikit-learn

Last synced: 14 Nov 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/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: 06 Dec 2024

https://github.com/pr38/numbadecisiontrees

novel 'numba' based recreation of scikit-learn's decision tree algorithm

decision-tree decision-trees machine-learning numba python scikit-learn

Last synced: 09 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: 09 Nov 2024

https://github.com/oscarqjh/ntu_sc1015_project

A mini project for NTU's data science and artificial intelligence mod - Analysis on League of Legends competitive matches

data-science machine-learning pandas python scikit-learn

Last synced: 09 Nov 2024

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/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/pr38/dask_backward_feature_selection

Backward step-wise feature selection using Dask, scikit-learn compatible

dask feature-selection machine-learning python scikit-learn

Last synced: 09 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/nazchanel/fake-news-detection-algorithm

A fake news detection algorithm. This repository contains the various variations of my original project. WIP.

dataset deep-learning fake-news-detection machine-learning-algorithms natural-language-processing scikit-learn work-in-progress

Last synced: 09 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: 09 Nov 2024

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

Microservices for spam filtering system

python scikit-learn

Last synced: 02 Dec 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/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/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/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/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/andreasgrv/tictacs

Machine learning pipeline configuration on steroids (on tictacs actually)

config pipeline reflection scikit-learn

Last synced: 11 Oct 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/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/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/hamidurrk/ground-station

Visualization and analysis tool to analyze signal strength data to identify areas with poor network coverage

machine-learning mean-shift network-analysis robotics scikit-learn

Last synced: 07 Dec 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/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/markdouthwaite/lingo

A package for quickly deploying Scikit-Learn Linear Models in Go.

golang linear-models machine-learning scikit-learn

Last synced: 21 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/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/kingabzpro/water-quality-app

Building an Water Quality Classifier Application with o1-preview Model

chatgpt docker huggingface o1-preview scikit-learn

Last synced: 21 Nov 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/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/meyiapir/nlu-api

Web API for accessing NLU models. With tools for training models.

api chat fastapi learning machine-learning nlu python ru russian-language scikit-learn

Last synced: 12 Nov 2024

scikit-learn Awesome Lists
awesome-python-data-science 379 awesome-deepnote 41
scikit-learn Categories
Other Awesome Lists 62 General 31 Deep Learning 11 Data Manipulation 8 Machine Learning 7 Deployment 7 Visualization 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