https://github.com/csinva/trees-to-networks

Bridging random forests and deep neural networks. Partial implementation of "Neural Random Forests" https://arxiv.org/abs/1604.07143

artificial-intelligence classification decision-tree decision-tree-classifier deep-learning machine-learning machinelearning neural-network neural-networks paper-implementations python pytorch random-forest scikit-learn statistics

Last synced: 28 Oct 2024

https://github.com/mateuszk098/kaggle-notebooks

Bunch of notebooks collection from Kaggle competitions.

data-science deep-learning jupyter-notebook kaggle kaggle-competition lightgbm machine-learning machine-learning-algorithms neural-networks notebook numpy pandas python python3 pytorch scikit-learn supervised-learning tensorflow unsupervised-learning xgboost

Last synced: 07 Nov 2024

https://github.com/sayakpaul/bentoml-explorations

Contains my experiments made with the mighty library BentoML

bentoml python rest-api scikit-learn tensorflow zomato

Last synced: 28 Oct 2024

https://github.com/jbeno/datawaza

Data science tools for exploration, visualization, and model iteration.

data-science dataviz machine-learning matplotlib pandas scikit-learn seaborn

Last synced: 10 Oct 2024

https://github.com/klane/springboard

Springboard Data Science Career Track assignments

data-science jupyter-notebook pyspark python scikit-learn springboard sql

Last synced: 31 Oct 2024

https://github.com/andi611/naive-bayes-and-decision-tree-classifiers

Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)

adult-dataset data-mining data-mining-algorithms decision-tree decision-tree-algorithm decision-tree-classifier decision-trees graphviz income-dataset mushroom-classification mushroom-classifier naive-bayes naive-bayes-algorithm naive-bayes-classification naive-bayes-classifier news-data scikit-learn scikitlearn-machine-learning sklearn

Last synced: 14 Oct 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/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/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/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/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/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/andreasgrv/tictacs

Machine learning pipeline configuration on steroids (on tictacs actually)

config pipeline reflection scikit-learn

Last synced: 11 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/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/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/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/georgedouzas/imbalanced-learn-extra

Implementation of novel oversampling algorithms.

clustering-base-oversampling data-science geometric-smote geometric-somo imbalanced-data imbalanced-learn imbalanced-learning kmeans-smote machine-learning oversampling python scikit-learn smote somo

Last synced: 29 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/justsecret123/twitter-sentiment-analysis

A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

classification data-analysis data-science deep-learning deep-neural-networks docker glove-embeddings kaggle lstm lstm-neural-networks machine-learning natural-language-processing nlp python rnn scikit-learn sentiment-analysis sentiment-classification tensorflow word-embeddings

Last synced: 05 Nov 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/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/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/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/szymciem8/openleap

Hand gesture Python module

gesture-recognition library machine-learning mediapipe opencv python scikit-learn

Last synced: 03 Nov 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/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/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/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/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/wwunlp/sner

𒈬 Sumerian Named Entity Recognition

machine-learning ner nlp python scikit-learn

Last synced: 13 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/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/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/mayank0255/crime-prediction-analysis-2019

A Study of Lightweight Approaches to Analyze Crime Conditions in India 2001-2019

clustering crime-analysis data-mining data-visualization decision-trees fuzzy-logic matplotlib naive-bayes-classifier numpy pandas python random-forest scikit-learn tableau

Last synced: 08 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/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/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/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/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://gitlab.com/moongoal/sklearn-relief

Relief algorithms implementation

feature feature ranking feature selection intelligence learn learning machine intelligence machine learning ranking relief relieiff rrelieff scikit scikit-learn sklearn

Last synced: 10 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/shuyib/pimamlsklearn

Using various supervised learning estimators in Sci-Kit Learn to get the best prediction accuracy if possible for the pima indians dataset.

cross-validation-score datascienceresearch diabetes machine-learning machine-learning-algorithms matplotlib-figures numpy pima-indians-dataset predictive-modeling python-3-5 roc-auc scikit-learn seaborn supervised-learning-estimators test-split-accuracy

Last synced: 12 Oct 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/rakibhhridoy/supportvectormachinein-medical

Support vector machine in medical disease detection. Both linear and non-linear data can be fitted in svm through its kernel specialization In medical we focus on precision or recall rather than accuracy.

diabetes-prediction machine-learning medical precision-medicine recall-precision scikit-learn support-vector-machines svm

Last synced: 06 Nov 2024

https://github.com/rakibhhridoy/easywaydiveinto-datascience

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow

Last synced: 06 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/mafesan/2021-tfm-code

Revelio: Machine-Learning classifier to identify Bots integrable with GrimoireLab

bot-accounts data-analysis data-analytics data-science grimoirelab machine-learning metrics open-source open-source-community project-health python scikit-learn

Last synced: 05 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/karimosman89/legal-document-nlp

Create a tool that uses NLP to extract key information from legal documents, contracts, or agreements.Use NLP techniques for named entity recognition and text classification.Streamline the review process for legal teams by automating information extraction.

nltk python scikit-learn spacy

Last synced: 07 Nov 2024

https://github.com/vatshayan/hospital-discharge-analysis

Analysis of Hospitalization Discharge Rates in Lake County, Illinois of various attributes like Anxiety, Alcohol, mood, Diabetes, Asthma, etc

data-analysis data-visualization jupyter-notebook machine machine-learning machine-learning-algorithms scikit-learn

Last synced: 11 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/bacross/datamunger

python package for handling nan's and outliers

data data-frame datamunger knn nan outliers python scikit-learn

Last synced: 19 Oct 2024

https://github.com/t-nicole13/Wine_Quality_Analysis

Assessment of which Machine Learning Model is best used to predict wine quality.

classification decision-trees jupyter-notebook machine-learning multiple multiple-linear-regression python random-forest scikit-learn visual-studio-code

Last synced: 23 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/george-gca/ai_papers_search_tool

Automatic paper clustering and search tool by fastext from Facebook Research

fasttext fasttext-embeddings fasttext-python nlp python scikit-learn

Last synced: 11 Oct 2024

https://github.com/islam-hady9/smartai_customersupport

Smart Customer Support Assistant

customer-support gpt-2 natural-language-processing python pytorch scikit-learn transformers

Last synced: 10 Oct 2024

https://github.com/bistcuite/plainml

Painless Machine Learning Library for python based on scikit-learn

machine-learning ml plainml python scikit-learn

Last synced: 19 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/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/jedirhymetrix/twittersentiments

Twitter sentiment analyzer written in Python

machine-learning python scikit-learn tensorflow twitter-sentiment-analyzer

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/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/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/dr413677671/quantflow-deep-learning-quant-framework

A Light-weight Deep-learning Quant Framework

deep-learning keras matplotlib quantitative-finance scikit-learn seaborn signal-analysis signal-processing tensorflow

Last synced: 22 Oct 2024

https://github.com/tansudasli/analytics-sandbox

from Statistical approach to Machine learning

feature-engineering machine-learning matplotlib numpy opencv pandas probability regex scikit-learn seaborn statistics

Last synced: 11 Oct 2024

https://github.com/realamirhe/leaf-node

A leaf node for your machine learning journey, from scratch to practical applications...

algorithm auto-encoder classification cybernetics feature-extraction feedback-mechanism lda learning machine-learning machine-learning-journey numpy pca practice regression scikit-learn sklearn smlfdl

Last synced: 03 Nov 2024

https://github.com/samarpan-rai/serveitlearn

It creates an extremely thin layer around FastAPI library which allows you to create an end point super fast.

fastapi inference ml pypi scikit-learn

Last synced: 30 Oct 2024

https://github.com/pankajarm/tabular_ml_toolkit

A helper library to jumpstart your machine learning project based on tabular or structured data.

data-science feature-engineering hyperparameter-tuning machine-learning parallelism python scikit-learn structured-data tabular xgboost

Last synced: 03 Nov 2024

https://github.com/glubbdubdrib/lazygrid

Automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.

artificial-intelligence cross-validation database grid-search grid-search-hyperparameters keras machine-learning memoization model-comparison model-selection neural-networks openml optimization pipeline python scikit-learn tensorflow

Last synced: 03 Nov 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/rodrigo-arenas/scikit-pipes

Scikit-Learn useful pre-defined Pipelines Hub

beginner-friendly good-first-issue help-wanted help-welcome machine-learning pipeline-framework scikit-learn scikit-learn-pipelines sklearn sklearn-pipeline

Last synced: 03 Nov 2024

https://github.com/priboy313/pandasflow

A set of custom python modules for friendly workflow on pandas

catboost data-analysis data-science pandas phik python scikit-learn shap

Last synced: 03 Nov 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/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/skekre98/picture-compressor

A tool for compressing images using unsupervised machine learning

kmeans-clustering scikit-learn

Last synced: 13 Oct 2024

https://github.com/wkrzywiec/polish-crops

Machine learning project to find out if price of a wheat in Poland depends on a weather.

decision-tree-regression eurostat imgw jupyter-notebook linear-regression machine-learning matplotlib-pyplot numpy pandas pipenv poland polynomial-regression python random-tree regression-models scikit-learn support-vector-regression

Last synced: 29 Oct 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: 03 Nov 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/aarryasutar/logistic_regression_on_age_prediction

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

accuracy-score confusion-matrix f1-score feature-selection logistic-regression model-training numpy pandas precision recall rmse roc-auc-curve scikit-learn visualization

Last synced: 03 Nov 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/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/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/an-exodus/dubai-real-estate-price-prediction-ml

This repository contains a comparative analysis of machine learning algorithms to predict real estate prices in Dubai. Using data from Bayut, we evaluate Decision Tree, Linear Regression, Random Forest, and Gradient Boosting models based on their predictive accuracy.

decision-tree gradient-boosting linear-regression machine-learning random-forest scikit-learn

Last synced: 03 Nov 2024

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

egghead machine-learning scikit-learn

Last synced: 07 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: 03 Nov 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/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