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Some thing interesting about sklearn-library
Some thing interesting about sklearn-library
sklearn-library,A Machine Learning challenge #6 - "Predict the damage to a building", organised by Hacker earth. Rank: 242 out of 7540 participants.
User: abhishekmamidi123
Home Page: https://www.hackerearth.com/challenge/competitive/machine-learning-challenge-6-1/
sklearn-library,A collection of notebooks for my final year project. The notebooks are used to create a virtual personal trainer to check bicep curls, squats and overhead presses.
User: abid-mahdi
sklearn-library,Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.
User: akshaydnicator
Home Page: https://datahack.analyticsvidhya.com/contest/linguipedia-codefest-natural-language-processing-1/
sklearn-library,Fake news detection using Naïve Bayes in Python along with confusion matrix calculated using sklearn.
User: areesha-tahir
sklearn-library,Gender Classification Machine Learning Model using Sk-learn in Python with 97%+ accuracy and deployment
User: aryanraj2713
sklearn-library,A Medicine Recommendation System in machine learning (ML) is a software application designed to assist healthcare professionals and patients in selecting the most appropriate medication based on various factors such as medical history, symptoms, demographics, and drug interactions
User: azaz9026
sklearn-library,QuickCNN is high-level library written in Python, and backed by the Keras, TensorFlow, and Scikit-learn libraries. It was developed to exercise faster experimentation with Convolutional Neural Networks(CNN). Majorly, it is intended to use the Google-Colaboratory to quickly play with the ConvNet architectures. It also allow to train on your local system.
User: cg1507
sklearn-library,I have a dream: to give HomeAssistant the ability to reason and perform actions logically and comprehensively, using AppDaemon, Sklearn, and Decision Tree.
User: dadaloop82
sklearn-library,kaggle 比赛 使用sklearn进行kaggle数据竞赛基础及实践
User: ewenwan
sklearn-library,Leveraging the power of Machine Learning as a tool, we delve into the realm of app permissions to discern the true nature of applications, whether they harbor malicious or benign intent. By analyzing and predicting based on these permissions, we unlock valuable insights to safeguard users in the digital landscape.
User: findcoding
sklearn-library,Data Science - low level to high level
User: gonieahn
sklearn-library,Ika is an application to make classification of mail thank to labels built by a clustering model of machine learning.
User: harisonm
sklearn-library,A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Organization: heidelbergcement
Home Page: https://hcrystalball.readthedocs.io/
sklearn-library,To create a Decision Tree classifier and visualize it graphically, the purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
User: jaanvig
sklearn-library,A machine learning model which predicts the gender based on the data with which it is trained.
User: jamesgeorge007
sklearn-library,This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.
User: jen-uis
sklearn-library,This repo contains EDA on famous IRIS dataset. Also I've compared various Models like Naive bayes, SVM, Logistic Regression.
User: kritikaparmar-programmer
sklearn-library,AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
User: ksachdeva
sklearn-library,Use Seattle's public energy data and build a model predicting energy consumption
User: laurentveyssier
sklearn-library,企业信用分析平台(EEAP)
User: lihanghang
sklearn-library,Decision Tree Classifier model implemented in a python program.
User: mahesh147
sklearn-library,A hackathon challenge solved using NLP where we actually try to predict the correct name of the recipe!
User: manasgandhi99
sklearn-library,Exploring sklearn 🌟
User: maneprajakta
sklearn-library,Exploratory data analysis tools
User: marcosalvalaggio
Home Page: https://edamame-doc.readthedocs.io/en/latest/index.html
sklearn-library,Python Data Analytics, Machine Learning & Natural Language Processing
User: martandsingh
Home Page: https://www.facebook.com/codemakerz
sklearn-library,Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data
User: mcabinaya
sklearn-library,Examining EEG brain signals of people with epilepsy
User: msadeqsirjani
sklearn-library,Machine Learning 100 Days Challenge
User: nitesh009
sklearn-library,SVR for multidimensional labels
User: nwtgck
sklearn-library,Machine Learning algorithms implementation using Python
User: pavankalyan1997
sklearn-library,Uber Technologies, Inc., commonly known as Uber, is an American technology company. Its services include ride-hailing, food delivery (Uber Eats), package delivery, couriers, freight transportation, and, through a partnership with Lime, electric bicycle and motorized scooter rental. The company is based in San Francisco and has operations in over 900 metropolitan areas worldwide. It is one of the largest firms in the gig economy. so that i Make this Project so company can pred there weekly as well as monthly rides pred that can company help to mange there rides info correctly
User: ranjan2104
sklearn-library,Machine Learning model to Direct Customers to Subscription.
User: rishawsingh
sklearn-library,Repository containing examples of KNN Algorithm
Organization: robots-vision
sklearn-library,The project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and face lower risk by tempering potential losses when the market is down.
User: rochitasundar
sklearn-library,⚒️ Data preprocessing is the process of transforming raw data into an understandable format. It is also an important step in data mining as we cannot work with raw data. The quality of the data should be checked before applying machine learning or data mining algorithms
User: rojaachary
sklearn-library,Building a iOS Application using Apple's Core ML Framework, we will builed a Linear SVC model using sklearn library on the SMS Data, users will type a message on their iPhone and our model will then identify whether the message is a Spam or a Ham (Not spam).
User: rudrajikadra
sklearn-library,This is an extension of FINAL YEAR PROJECT in which further features such as news feed, stock analysis have been added.
User: sandy0002
sklearn-library,Heart disease is a major global health concern that affects millions of people around the world. Early detection and accurate prediction of heart disease can help to prevent the progression of the disease and save lives. In this project, we aim to develop a predictive model for heart disease using various machine learning algorithms.
User: shangamesh2805
sklearn-library,Machine learning projects done as part of an online PGPML course offered by Great Learning, an ed-tech company.
User: shrishailsgajbhar
sklearn-library,In this project, we have detected the malicious URLs using lexical features and boosted machine learning algorithms
User: sid321axn
sklearn-library,Neural Network with functions for forward propagation, error calculation and back propagation is built from scratch and is used to analyse the IRIS dataset.
User: srilakshmi-thota
sklearn-library,Implementation of Linear regression on Boston House Pricing and Diabetes data sets using python.
User: syamkakarla98
sklearn-library,Evaluating multiple classifiers after SVM-RFE (Support Vector Machine-Recursive Feature Elimination)
User: tanerarslan
sklearn-library,A python chatbot framework with Natural Language Understanding and Artificial Intelligence (using NLTK) 💬
User: tharun-tharun
sklearn-library,Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.
User: transitive-bullshit
Home Page: https://sklearn.vercel.app
sklearn-library,❤️ Cardio Guide is an application which uses Machine Learning Model to predict the chances of Heart Disease with an accuracy of 81.967%. With this it also provide you with tips to improve your health status which directly benefits your heart.
User: undiscovered-genius
Home Page: https://hearth-disease-prediction-app.herokuapp.com/
sklearn-library,Classification of MXenes into metals and non-metals based on physical properties
User: utsavmurarka
sklearn-library,Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and learning using Sklearn tool.
User: wmichalska
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An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.