Topic: logloss Goto Github
Some thing interesting about logloss
Some thing interesting about logloss
logloss,We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.
User: agisthemantobeat
logloss,This project is to build machine learning models on the byte and asm files to predict which type of malware these files represent. The byte files contain the hexadecimal codes and the asm file contains the assembly language code which contains keywords, opcodes, registers, APIs. We have to extract features from these files and build the optimal machine learning models on these extracted features.
User: ashwin4glory
logloss,Determining the class of cancer-causing mutations using text and genetic data
User: ayushi22137
logloss,India hacks machine learning challange
User: azharuddinkazi
logloss,Common metrics for evaluation of machine learning models
Organization: bsm
logloss,Les bases du Deep Learning en Intelligence Artificielle.
User: camara94
logloss,Rank 3/85 MachineHack
User: chandrashekhar1227-ml
logloss,Rank 4/125 MachineHack
User: chandrashekhar1227-ml
logloss,FTRL and LL models to determine Ad-Click-Revenue Payout & Column Efficiency
User: concealedtea
logloss,Machine Learning with Python
User: elizabethshen
logloss,BenchMetrics Prob: Benchmarking of probabilistic error performance evaluation instruments for binary-classification problems
User: gurol
logloss,Create a machine learning model to help an insurance company understand which claims are worth rejecting and the claims which should be accepted for reimbursement.
User: hariprasath-v
logloss,Crop damage classification
User: hariprasath-v
logloss,Rapid Calculation of Model Metrics
User: jackstat
logloss,This project is a famous example of machine learning. Thanks to the keras library, we have data of written diggits and the purpose is to train a ML algorithm in order to predict the correct output.
User: jean-lcs
logloss,load a dataset using Pandas and apply the following classification methods (KNN, Decision Tree, SVM, and Logistic Regression) to find the best one by accuracy evaluation methods (Jaccard, F1-score, LogLoss) for this specific dataset.
User: m-imani
logloss,Detect duplicate questions that have already been asked on Quora.
User: manish-vi
logloss,A machine leaning based loan classifier using many classification techniques then, uses them trying to find the best parameters for each one of them hence, compares between them according to various metrics
User: mostafa-wael
logloss,Identify the Question asked on Quora is Duplicate of Questions which are already asked.
User: nihar-max
logloss,Identify American Express customers most likely to default in the next 3 months based on 190 anonymized transaction data features for over 500000 American Express customers.
User: ol0fmeistr
logloss,๐ BERTแ แ ณแฏ แแ ตแแ ญแผแแ กแซ แแ ฉแแ ฅแฏ แแ กแจแแ ก แแ ฎแซ๋ฅ
User: oneonlee
Home Page: https://youtu.be/vhv7x94hOyU
logloss,This project aims to predict liver disease in Indian patients
User: padhma
logloss,competition | bert-base-uncased
User: pchlq
logloss,A multiclass classification problem to classify malware classes.
User: pranshu1921
logloss,An intro to tensorflow
User: rsk97
logloss,This repository has the implementation of Logistic Regression algorithm from scratch, using SGD (Stochastic Gradient Descent). Scikit Learn library is not used.
User: sachelsout
logloss,January Hackathon of Machine Hack, involving Multi-class Classification Modeling, Advance Feature engineering, Optimizing Multi-Class log loss score as a metric to generalize well on unseen data.
User: satyampatidar
logloss,Basic machine learning neuron in pure ruby
User: victorauthiat
logloss,My absolutely first Kaggle competition
User: wongkhoon
Home Page: https://www.kaggle.com/competitions/icr-identify-age-related-conditions/overview
logloss,To Detect Early Sepsis Disease
User: ymeghana
Home Page: https://sepsis-detection.herokuapp.com/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.