Topic: scikitlearn-machine-learning Goto Github

👇 Here are 869 public repositories matching this topic...

aakash1822 / projects
scikitlearn-machine-learning,Leaf Disease Detection using Image Processing and Deep Learning
User: aakash1822
deep-learning image-processing keras-tensorflow convolutional-neural-networks scikitlearn-machine-learning opencv matplotlib python3 image-segmentation imageanalysis

abhinavthukral97 / sentimentanalysis
scikitlearn-machine-learning,Implemented text analysis using machine learning models to classify movie review sentiments as positive or negative. Built using Python 3.6.1.
User: abhinavthukral97
machinelearning scikitlearn-machine-learning sentiment-analysis text-analysis naive-bayes logistic-regression svm knn

aianytime / machine-learning-models-implementation
scikitlearn-machine-learning,Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
User: aianytime
machine-learning python sklearn machine-learning-algorithms pandas numpy eda pycaret scikitlearn-machine-learning scikit-learn

anujdutt9 / disease-prediction-from-symptoms
scikitlearn-machine-learning,Disease Prediction based on Symptoms.
User: anujdutt9
machine-learning python3 pandas disease-prediction scikitlearn-machine-learning scikit-learn

ashar367 / vehicle-detection-using-deep-learning-with-tensorflow-and-python
scikitlearn-machine-learning,This repository shows how to train a CNN model for detecting vehicles and other objects on streets
User: ashar367
machine-learning deep-learning neural-network convolutional-neural-networks computer-vision face-recognition face-detection object-detection object-tracking object-recognition

ashokc / word-embeddings-and-document-vectors
scikitlearn-machine-learning,An evaluation of word-embeddings for classification
User: ashokc
fasttext-embeddings word2vec elasticsearch scikitlearn-machine-learning naive-bayes-classifier neural-networks

atifkarim / time-series-forecasting-using-machine-learning-algorithm
scikitlearn-machine-learning,Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.
User: atifkarim
python36 numpy pandas scikitlearn-machine-learning neural-network machine-learning deep-learning lstm-neural-networks lstm evaluation-metrics arima-forecasting regression-models regression-analysis time-series data-science big-data

bpkaur / cheatsheets-for-data-science-and-machine-learning-beginners
scikitlearn-machine-learning,Cheatsheets for data science and machine learning beginners
User: bpkaur
jupyter-notebook python numpy pandas visualization scikitlearn-machine-learning data-science data-analysis

brainhack-school2020 / abide-fmri
scikitlearn-machine-learning,Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
Organization: brainhack-school2020
brainhack-school abide-data resting-state-fmri fmri cross-validation autism support-vector-classification cv-classifier jupyter-notebooks nilearn

brice-vergnou / spotify_recommendation
scikitlearn-machine-learning,Finding which songs I like or not based on songs statistics
User: brice-vergnou
ai artificial-intelligence spotify spotify-api spotify-playlist api python3 random-forest random-forest-classifier scikit-learn

code2k13 / rpipico_digit_classification
scikitlearn-machine-learning,Identification of handwritten digit from images taken by a  OV7670 camera module connected to a Raspberry Pi Pico and a 120x160 TFT LCD display. The Pi Pico running CircuitPython handles everything from image acquisition to post-processing and inference. This code is somewhat experimental, but it is fun to play with. For more information, please visit the project's webpage.
User: code2k13
Home Page: https://ashishware.com/2022/09/03/pipico_digit_classification/
artificial-intelligence camera circuitpython edge-computing edge-machine-learning image-recognition machine-learning ov7670 python raspberry-pi-pico

danmorales / cursods_profdanilo
scikitlearn-machine-learning,Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube
User: danmorales
deep-learning machine-learning machine-learning-algorithms aprendizado-de-maquina ciencia-de-dados scikit-learn data-science tensorflow tensorflow-tutorials keras-neural-networks

davidcico / forecasting-direction-of-trade-an-example-with-lstm-neural-network
scikitlearn-machine-learning,In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Network is used as an example of potential solution for such problem.
User: davidcico
scikitlearn-machine-learning linear-regression lstm lstm-neural-networks stock-price-prediction tick-data python python3 orderbook stock-forecasting

davisy / sms-spam-text-classification
scikitlearn-machine-learning,How to classifiy spam sms by using NLP
User: davisy
nlp nlp-machine-learning natural-language-processing text-classification text-analysis wordcloud scikitlearn-machine-learning classification-algorithm classification

edualgo / grokking-machine-learning
scikitlearn-machine-learning,This repo aims to contain different machine learning use cases along with the descriptions to the model architectures
Organization: edualgo
Home Page: https://github.com/Abhijit2505/Grokking-Machine-Learning/wiki
python3 machine-learning machine-learning-algorithms scikitlearn-machine-learning tensorflow2 hacktoberfest hacktoberfest2021

eswar3 / zillow-prediction-models
scikitlearn-machine-learning,Machine Learning Project using Kaggle dataset
User: eswar3
Home Page: https://www.kaggle.com/c/zillow-prize-1
eda machine-learning numpy parameter-tuning scikit-learn scikitlearn-machine-learning xgboost-algorithm

farshidnooshi / smart-educational-assistant
scikitlearn-machine-learning,Fuzzy Expert System to recommend research topic for university students based on their abilities
User: farshidnooshi
fuzzy computational-intelligence jupyter-notebook python java fcl scikitlearn-machine-learning fuzzy-expert-systems

guptaharshnavin / parkinson-disease-detection
scikitlearn-machine-learning,Parkinson Disease Detection using Machine Learning
User: guptaharshnavin
parkinsons-disease parkinsons-detection classification scikitlearn-machine-learning machine-learning exploratory-data-analysis

hussain0048 / machine-learning
scikitlearn-machine-learning,This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content
User: hussain0048
Home Page: https://coursesteach.com/
algbra classification decision-boundary feature-scaling gradient-descent-for-multiple-variables inverse-and-transpose logistic-regression machine-learning model multiple-features multivariate-linear-regression preprocessing-in-machine-learning python scikit-learn scikitlearn scikitlearn-machine-learning under underfitting unsupervised-learning

ibm / predict-opioid-prescribers
scikitlearn-machine-learning,A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.
Organization: ibm
Home Page: https://developer.ibm.com/patterns/analyze-open-medical-data-sets-to-gain-insights/
datascience machinelearning python3 scikitlearn-machine-learning pandas pixiedust dsx ibmcode call-for-code

innat / py4-ds
scikitlearn-machine-learning,:snake: Data Science Boot-Camp : UC San DiegoX
User: innat
data-science data-visualization python3 jupyter-notebook numpy matplotlib pandas nltk kaggle-soccor scikitlearn-machine-learning

jim-spyropoulos / trajectory-analysis-and-classification-in-python-pandas-and-scikit-learn
scikitlearn-machine-learning,Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.
User: jim-spyropoulos
python machine-learning classification trajectory scikitlearn-machine-learning dtw trajectory-analysis classifiers similarity-measures scikit-learn

joeyorlando / self_driving_car
scikitlearn-machine-learning,Neural network/Haar cascade trained self-driving RC car using Raspberry Pi
User: joeyorlando
raspberry-pi python3 python javascript raspberry-pi-camera haar-cascade unsupervised-learning neural-network raspberry-pi-car scikit-learn

jrasero / predicting-icns
scikitlearn-machine-learning,Results and plots replications for paper in prediction of Intrinsic Connectivity Networks in task versus resting fMRI
User: jrasero
scikitlearn-machine-learning keras-neural-networks resting-fmri task-fmri

kittupriyatham / machine-learning-model-deployment
scikitlearn-machine-learning,This is a machine learning model deployment project of Iris classification model in a minimal UI using flask web framework and deployed it in Azure cloud using Azure app service. We initially made this project as a requirement for an internship at Indian Servers. We are now making it open to contribution.
User: kittupriyatham
Home Page: https://mlmd2.azurewebsites.net/
flask scikitlearn-machine-learning azure-app-service machine-learning python

m-taghizadeh / python-full-course
scikitlearn-machine-learning,Full Python Programming Tutorials with Focus on artificial intelligence and machine learning
User: m-taghizadeh
Home Page: https://daneshjooyar.com/python
python mysql pyqt5 opencv scrapy selenium machine-learning artificial-intelligence oop regex

mansi1597 / heart-disease-prediction
scikitlearn-machine-learning,
User: mansi1597
django heart-disease-predictor heart-disease-analysis machine-learning python3 scikitlearn-machine-learning heart-disease

mattiaraffa / rf-vda-landslide-map
scikitlearn-machine-learning,Modello Random Forest per la creazione di una mappa di suscettibilità da frane superficiali // // Tesi di Laurea Magistrale in Scienze della Terra (Geologia Applicata) - Università degli Studi di Milano
User: mattiaraffa
random-forest random forest tree scikitlearn-machine-learning scikit-learn landslide-susceptibility-mapping landslide mapping susceptibility

mikeroyal / machine-learning-guide
scikitlearn-machine-learning,Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
User: mikeroyal
python deep-learning machine-learning-library machinelearning machine-learning-models pytorch machinelearning-python scikit-learn scikitlearn-machine-learning support-vector-machines

mohnkhan / deep-learning-cheat-sheets
scikitlearn-machine-learning,Deep Learning Machine Learning Cheat Sheets, Python Pandas, SciPy
User: mohnkhan
deep-learning keras-tensorflow machinelearning neural-networks numpy pandas python scikitlearn-machine-learning

munnam77 / machine_learning_cheatsheets
scikitlearn-machine-learning,
User: munnam77
keras machine-learning numpy scikitlearn-machine-learning scipy

naveen-chauhan / loan-prediction-classification
scikitlearn-machine-learning,A Classification Problem which predicts if a loan will get approved or not.
User: naveen-chauhan
machinelearning machine-learning machine-learning-algorithms loan-prediction-analysis loan-prediction-problem machinelearning-python machinelearningprojects machine-learning-tutorials machine-learning- jupyter-notebook

nidhaloff / igel
scikitlearn-machine-learning,a delightful machine learning tool that allows you to train, test, and use models without writing code
User: nidhaloff
Home Page: https://igel.readthedocs.io/en/latest/
machine-learning machinelearning machine-learning-algorithms machine-learning-library artificial-intelligence neural-network neural-networks sklearn scikit-learn scikitlearn-machine-learning data-science data-analysis preprocessing automation automl automl-experiments hacktoberfest hacktoberfest2021

nilkanthshirodkar / fake-news-detection
scikitlearn-machine-learning,Building Fake News Detection using Angular 6 in the frontend, Node JS in Backend to build API using Express JS and Python Scikit Learn machine learning package for detecting Fake News.
User: nilkanthshirodkar
Home Page: https://www.youtube.com/watch?v=llIHzyLu-NE
nodejs machine-learning angular expressjs scikitlearn-machine-learning

nishkarshraj / 100daysofmlcode
scikitlearn-machine-learning,My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
User: nishkarshraj
Home Page: http://github.com/NishkarshRaj
machine-learning python linear-regression linear-algebra scikitlearn-machine-learning deep-learning artificial-intelligence github-actions big-data polynomial-regression

ntmaldetect / ntmaldetect
scikitlearn-machine-learning,Open source malware detection program using machine learning algorithms on system call traces.
Organization: ntmaldetect
malware-detection malware-analysis python3 python system-calls system-call-analysis machine-learning machine-learning-algorithms sklearn sklearn-classify

omkarbuchade / smart-agricultural-system
scikitlearn-machine-learning,Smart agricultural system to recommend most profitable crops to farmers
User: omkarbuchade
scikit-learn scikitlearn-machine-learning regression python nodejs web-application data-analytics smart-agricultural machine-learning prediction

patelpurvip / spotify-hitpredictor
scikitlearn-machine-learning,A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
User: patelpurvip
Home Page: https://spotify-hitpredictor.herokuapp.com
machine-learning python scikitlearn-machine-learning flask heroku tableau spotipy spotify-api pandas dotenv random-forest-classifier neural-network svm-classifier logistic-regression minmaxscalar standardscaler numpy-library joblib

pranitbose / sentiment-analysis
scikitlearn-machine-learning,Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
User: pranitbose
pyhton3 machine-learning sentimental-analysis sentiment-classification product-reviews nltk anaconda-distribution amazon-reviews scikitlearn-machine-learning

ravjot03 / heart-disease-prediction
scikitlearn-machine-learning,
User: ravjot03
heart disease prediction model python logistic-regression seaborn matplotlib scikitlearn-machine-learning heart-disease-detection

rishawsingh / credit-card-fraud-detection
scikitlearn-machine-learning,System to tell apart the transaction was from the real user who owns the credit card or the transaction was from the stolen credit card.
User: rishawsingh
deep-learning credit-card creditcard credit-card-fraud fraud-detection fraudulent-transactions deep-neural-networks deep-learning-algorithms deep-learning-tutorial machine-learning

samcomber / spacv
scikitlearn-machine-learning,Spatial cross-validation in Python.
User: samcomber
cross-validation machine-learning spatial-data-science data-science python sklearn scikit-learn scikitlearn-machine-learning geographic-data-science

shubham0204 / scikit_learn_android_demo
scikitlearn-machine-learning,An Android app that runs a scikit-learn model converted to the ONNX format
User: shubham0204
Home Page: https://towardsdatascience.com/deploying-scikit-learn-models-in-android-apps-with-onnx-b3adabe16bab
android android-application deployment kotlin-android machine-learning scikit-learn scikitlearn-machine-learning

singhamanraj / gender-voice-recognition_machine-learning
scikitlearn-machine-learning,Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)
User: singhamanraj
logistic-regression decision-tree random-forest svm-classifier scikitlearn-machine-learning python-3 rprogramming

thedefibat / road-accidents-prediction-and-classification
scikitlearn-machine-learning,Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
User: thedefibat
decision-tree-classifier random-forest-classifier scikitlearn-machine-learning

tronixlab / arduinomicroml
scikitlearn-machine-learning,It generate C code for microcontrollers from Python with Scikit-learn.
User: tronixlab
Home Page: https://libraries.io/pypi/micromlgen
microml tinyml machine-learning scikitlearn-machine-learning python embedded-systems embedded-machine-learning arduino

vinayakumarr / kalasalingam
scikitlearn-machine-learning,IEEE "Invited Talk on Deep Learning" 03/02/2018
User: vinayakumarr
deep-learning deep-neural-networks deep-learning-tutorial machine-learning scikitlearn-machine-learning keras-tutorials

wikistat / ai-frameworks
scikitlearn-machine-learning,Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle
Organization: wikistat
apprentissage-machine spark-mllib scikitlearn-machine-learning data-science use-cases

yrtnsari / sentiment-analysis-nlp-with-python
scikitlearn-machine-learning,The project is a simple sentiment analysis using NLP. The project in written in python with Jupyter notebook. It shows how to do text preprocessing (removing of bad words, stop words, lemmatization, tokenization). It further shows how to save a trained model, and use the model in a real life suitation. The machine learning model used here is k-Nearest Neighbor which is used to build the model. Various performance evaluation techniques are used, and they include confusion matrix, and Scikit-learn libraries classification report which give the accuracy, precision, recall and f1- score preformance of the model. The target values been classified are positive and negative review.
User: yrtnsari
sentiment-analysis python jupyter-notebook scikitlearn-machine-learning knn-classification data-science pandas numpy machine-learning sklearn

ztqsteve / uber-rider-churn-analysis
scikitlearn-machine-learning,Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.
User: ztqsteve
python-pandas python-numpy python-matplotlib scikitlearn-machine-learning cost-benefit-analysis