Rapid Calculation of Model Metrics
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Updated
Jul 2, 2021 - R
Rapid Calculation of Model Metrics
This project aims to predict liver disease in Indian patients
Common metrics for evaluation of machine learning models
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 …
FTRL and LL models to determine Ad-Click-Revenue Payout & Column Efficiency
To Detect Early Sepsis Disease
Rank 4/125 MachineHack
BenchMetrics Prob: Benchmarking of probabilistic error performance evaluation instruments for binary-classification problems
A multiclass classification problem to classify malware classes.
Les bases du Deep Learning en Intelligence Artificielle.
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.
We load a historical dataset from previous loan applications, clean the data, and apply different classification algorithms on the data.
Rank 3/85 MachineHack
Detect duplicate questions that have already been asked on Quora.
Basic machine learning neuron in pure ruby
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
Machine Learning with Python
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