Topic: scikitlearn-machine-learning Goto Github
Some thing interesting about scikitlearn-machine-learning
Some thing interesting about scikitlearn-machine-learning
scikitlearn-machine-learning,Leaf Disease Detection using Image Processing and Deep Learning
User: aakash1822
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
scikitlearn-machine-learning,Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
User: aianytime
scikitlearn-machine-learning,Disease Prediction based on Symptoms.
User: anujdutt9
scikitlearn-machine-learning,This repository shows how to train a CNN model for detecting vehicles and other objects on streets
User: ashar367
scikitlearn-machine-learning,An evaluation of word-embeddings for classification
User: ashokc
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
scikitlearn-machine-learning,Repo for all my Coursera Course Exercises, Materials and Certificates
User: azminewasi
scikitlearn-machine-learning,Cheatsheets for data science and machine learning beginners
User: bpkaur
scikitlearn-machine-learning,Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
Organization: brainhack-school2020
scikitlearn-machine-learning,Finding which songs I like or not based on songs statistics
User: brice-vergnou
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/
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
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,How to classifiy spam sms by using NLP
User: davisy
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
scikitlearn-machine-learning,Machine Learning Project using Kaggle dataset
User: eswar3
Home Page: https://www.kaggle.com/c/zillow-prize-1
scikitlearn-machine-learning,Fuzzy Expert System to recommend research topic for university students based on their abilities
User: farshidnooshi
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/
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/
scikitlearn-machine-learning,:snake: Data Science Boot-Camp : UC San DiegoX
User: innat
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
scikitlearn-machine-learning,Neural network/Haar cascade trained self-driving RC car using Raspberry Pi
User: joeyorlando
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,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/
scikitlearn-machine-learning,Full Python Programming Tutorials with Focus on artificial intelligence and machine learning
User: m-taghizadeh
Home Page: https://daneshjooyar.com/python
scikitlearn-machine-learning,
User: mansi1597
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
scikitlearn-machine-learning,Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
User: mikeroyal
scikitlearn-machine-learning,Deep Learning Machine Learning Cheat Sheets, Python Pandas, SciPy
User: mohnkhan
scikitlearn-machine-learning,
User: munnam77
scikitlearn-machine-learning,A Classification Problem which predicts if a loan will get approved or not.
User: naveen-chauhan
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/
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
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
scikitlearn-machine-learning,Open source malware detection program using machine learning algorithms on system call traces.
Organization: ntmaldetect
scikitlearn-machine-learning,Smart agricultural system to recommend most profitable crops to farmers
User: omkarbuchade
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
scikitlearn-machine-learning,Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.
User: pranitbose
scikitlearn-machine-learning,
User: ravjot03
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
scikitlearn-machine-learning,Spatial cross-validation in Python.
User: samcomber
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
scikitlearn-machine-learning,Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)
User: singhamanraj
scikitlearn-machine-learning,Final Year Project on Road Accident Prediction using user's Location,weather conditions by applying machine Learning concepts.
User: thedefibat
scikitlearn-machine-learning,It generate C code for microcontrollers from Python with Scikit-learn.
User: tronixlab
Home Page: https://libraries.io/pypi/micromlgen
scikitlearn-machine-learning,IEEE "Invited Talk on Deep Learning" 03/02/2018
User: vinayakumarr
scikitlearn-machine-learning,Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle
Organization: wikistat
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
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
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