Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
scikit-learn
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
- GitHub: https://github.com/topics/scikit-learn
- Wikipedia: https://en.wikipedia.org/wiki/Scikit-learn
- Repo: https://github.com/scikit-learn/scikit-learn
- Created by: David Cournapeau
- Released: January 05, 2010
- Related Topics: scikit, python,
- Aliases: sklearn,
- Last updated: 2024-11-08 00:26:25 UTC
- JSON Representation
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/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/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/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/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/superbderrick/creditratingprediction
A simple data prediction system that evaluates creditRating with a little bit data
Last synced: 06 Nov 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/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/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/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*
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/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.
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/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/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/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
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/filipspl/optuml
Optuna-optimized ML methods, with scikit-learn like API
hyperparameter-optimization hyperparameter-tuning machine-learning optuna python python-module scikit-learn
Last synced: 12 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/fabianacampanari/practicalstats-pucsp-2024
Statistical Measures in Python - Age and Salary Analysis
excel hipoteses-tests hypothesis-testing linear-regression math matplotlib numpy pandas probabilistic-data-structures probability-distribution probability-statistics pythob3 scikit-learn scipy scipy-stats seaborn statisctics statsmodels
Last synced: 26 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/ryandsilva/machine-learning-starters
Common Machine Learning Examples :computer:
decision-trees deep-learning genetic-algorithm keras lightfm machine-learning naive-bayes nlp object-detection opencv pandas python random-forest scikit-learn scikit-surprise svm svr tensorflow textblob tpot
Last synced: 20 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/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/sanu0711/healthcare-intelligence
Enhancing Patient Care through AI-Driven Disease Prediction
ai-health-assistant chatbot decision-tree-classifier disease-prediction djang generative-ai k-nearest-neighbours leafletjs map medication-details medication-history naive-bayes-classifier py random-forest-classifier scikit-learn sklearn support-vector-machines symptom-checker voice-search
Last synced: 12 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/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/andi611/libsvm-classification
Performing classification tasks with the LibSVM toolkit on four different datasets: Iris, News, Abalone, and Income.
abalone abalone-dataset classification classification-algorithm data-mining income income-dataset iris iris-dataset libsvm libsvm-ready news-dataset newsgroups-dataset scikit-learn svm svm-classifier svm-training
Last synced: 14 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/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/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
https://github.com/jbayardo/aa-tp1
Machine learning on spam
email-classifier jupyter-notebook numpy pandas python scikit-learn spam-filtering text-processing
Last synced: 17 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/shayanshahrabi/machine_learning_with_jadi
Course notes, codes and projects including
classification clustering jupyter-notebook machine-learning python recommender-system regression scikit-learn
Last synced: 26 Sep 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/animesh-ghosh/summer-training
Work done during Summer Training with OSAHub.
anaconda jupyter-notebook machine-learning numpy pandas python3 scikit-learn
Last synced: 26 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*
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/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/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/ondrejhruby/fashion-mnist
Machine Learning Project: Fashion MNIST Classification using Random Forest and PCA for dimensionality reduction.
classification computer-vision data-processing dimensionality-reduction fashion-mnist feature-extraction image-classification machine-learning machine-learning-algorithms pca pca-analysis python random-forest scikit-learn
Last synced: 12 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/gerdm/machine_learning
A repository with a bunch of machine learning
analyses data-science machine-learning machine-learning-algorithms scikit-learn
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/ikegami-yukino/yascikit-learn
Yet another scikit-learn
ftrl k-medoids machine-learning naive-bayes-classifier python scikit-learn x-means
Last synced: 12 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/0xpriyanshujha/ml-expedition
Machine Learning Assignments and Practice from zero
deeplearning jupyter kaggle machinelearning neural-network python scikit-learn tensorflow
Last synced: 11 Oct 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