Topic: sk-learn Goto Github
Some thing interesting about sk-learn
Some thing interesting about sk-learn
sk-learn,A homework assignment for George Washington University's CSCI 4907.82 Natural Language Understanding class
User: aarifahullah
sk-learn,Real time face detection and recognition integrating with CCTV
User: adnan2232
sk-learn,Projet réalisé pour INSPIRE d'Article 1, mise en place d'algorithme de modération.
User: amauryfaure
sk-learn,WIP - playing around with the Keggle Titanic challange to get a better grasp on machine learning projects from start (raw data) to finish (predictions and evaluation)
User: annadunblad
sk-learn,Implementation of ML algorithms for FlipKart Product Category Classification based on the product's description and other features.
User: atharvajk98
sk-learn,scikit-learn Library (sk-learn) / Biblioteca scikit-learn (sk-learn)
User: azevedontc
sk-learn,Clustering Cryptocurrencies
User: fischlerben
sk-learn,Kaggle fun house
User: furyhawk
sk-learn,Regression Analysis of oceanographic data to find the relationship between the temperature and the salinity of water.
User: gauravthakur047
sk-learn,Testing AdaBoost and other functionality of sklearn library on different datasets.
User: joshuamhtsang
sk-learn,This is a portotype of GitHub recommender system.
User: lancepokaiwang
sk-learn,Some dimensionality reduction and clustering examples using sklearn library
User: lixirong
sk-learn,Spam Classifier using Naive Bayesian Method
User: mohsenpour
sk-learn,Aim of the problem is to find the health insurance cost incured by Individuals based on thier age, gender, BMI, number of children, smoking habit and geo-location.
User: natenaeltbekele
sk-learn,A Random Forest Approach to Estimate Rainfall
User: qwekem482
sk-learn,Analyzed a 23-feature dataset, targeting 'RainTomorrow' for weather insights. Conducted thorough data gathering, preprocessing, and feature selection. Evaluated diverse models (Logistic Regression, Random Forest, Decision Trees, K-means, K-nearest neighbors, Hierarchical clustering) and employed technical metrics for in-depth performance analysis.
User: sairajindroju
sk-learn,
User: souvik-clr
Home Page: https://car-price-prediction-18.herokuapp.com/
sk-learn,This is a regression problem to predict california housing prices.
User: swarupa567
sk-learn,Movie Revenue Prediction System predicts the revenue of a movie with 14 parameters: name, rating, genre, year, released, score, votes, director, writer, star, country, budget, company and runtime using gradient boosting______________________________ Training Accuracy: 91.58%____________ Testing Accuracy: 82.42%.
User: vikranth3140
Home Page: http://arxiv.org/abs/2405.11651
sk-learn,DE and DA samples
User: wildfielded
sk-learn,An interactive stock dashboard, enabling users to input stock codes, select dates, and visualize trends, indicators, and forecasts. Utilized yfinance for historical data and integrated SVR model for predictive analysis, showcasing interactive charts and forecasts.
User: yashverma3
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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
Some thing interesting about game, make everyone happy.
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.