There are 0 repository under logloss topic.
Rapid Calculation of Model Metrics
This project aims to predict liver disease in Indian patients
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.
FTRL and LL models to determine Ad-Click-Revenue Payout & Column Efficiency
To Detect Early Sepsis Disease
We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.
Les bases du Deep Learning en Intelligence Artificielle.
Rank 3/85 MachineHack
Rank 4/125 MachineHack
BenchMetrics Prob: Benchmarking of probabilistic error performance evaluation instruments for binary-classification problems
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.
A multiclass classification problem to classify malware classes.
Determining the class of cancer-causing mutations using text and genetic data
Machine Learning with Python
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.
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.
This repository has the implementation of Logistic Regression algorithm from scratch, using SGD (Stochastic Gradient Descent). Scikit Learn library is not used.
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.
My absolutely first Kaggle competition
India hacks machine learning challange
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.
Crop damage classification
Detect duplicate questions that have already been asked on Quora.
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
Identify the Question asked on Quora is Duplicate of Questions which are already asked.
📖 BERT를 이용한 소설 작가 분류
An intro to tensorflow