mart-mihkel/nullmodels

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metriculous-ml/metriculous

Measure and visualize machine learning model performance without the usual boilerplate.

Language: Python - Size: 3.54 MB - Last synced at: 9 days ago - Pushed at: 7 months ago - Stars: 97 - Forks: 11

sushant1827/Credit-Card-Fraud-Detection

Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data

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saranya-ponnarasu/Bank_TermDeposit_Prediction

Predicting Bank Term Deposit Subscribers using Decision Trees

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FabricioArendTorres/streamAUC

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

Language: Python - Size: 152 KB - Last synced at: 26 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

afairless/binary_classification_shap

Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering

Language: Python - Size: 22.5 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

larenwell/ai-ml-insurance-claim-challenge

The company has collected historical customer and claims data and wants to use it to develop a machine learning model that can predict whether a customer will file an insurance claim in the next year.

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larenwell/ai-ml-diabetes-challenge

Repository where it is intended to address the detection of patients who will be readmitted for problems with diabetes.

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eavise-kul/brambox-build

Build repository for brambox - https://gitlab.com/eavise/brambox

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larenwell/ds-ml-pycaret-latam-airlines-challenge

Repository where it is intended to address the challenge of LATAM Airlines, which consists of predicting the probability of delay of flights that land or take off from the Santiago de Chile airport (SCL)

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hidiryuzuguzel/Machine-Learning-Examples

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emrecanduran/Marketing-Campaign-Response-Prediction

Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.

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sheetalkalburgi/optimising-for-precision

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adarshsankarrs/Spotify-Data-Analysis---RF-vs-MLP-Study

The project involves using machine learning techniques, like RandomForestClassifier and MLP, to predict whether a song will be popular or not based on its acoustic features. The input consists of various acoustic and metadata features, while the output is a binary classification.

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sharmaroshan/SECOM-Detecting-Defected-Items

Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be very less in comparison to perfect Chips so we have apply either Over-Sampling or Under-Sampling.

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lotusCN/Precision-Recall-Curve

Matlab code for computing and visualization: Precision-Recall curve, AUPR, Accuracy etc. for Classification.

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pankush9096/kaggle-Credit-Card-Fraud-Detection

This is an highly imbalanced data with only 1.72% minority and 98.28% majority class, i will be explaining Up and down sampling and effect of sampling before and while doing cross validation. Model has been evaluated using precision recall curve.

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Ola76/Titanic_Dataset

In the project, Titanic data was obtained from Kaggle.com. The aim is to understand the survival rate and classes on the passengers.

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stefmolin/ml-utils

Machine learning utility functions and classes.

Language: Python - Size: 230 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 14

Mr-TalhaIlyas/Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras

ML/CNN Evaluation Metrics Package

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fethi-ourghi/face-detection-evaluation

Evaluation of different face detection algorithms existing in the literature using different benchmarks

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jaiminjariwala/Logistic_Regression_Project

A Classification Model that can predict whether or not a person has presence of Heart Disease or not!

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guilhermedom/sentiment-analysis-alexa-reviews

Fully connected neural network analyzing sentiments in reviews for Amazon's Alexa.

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schatzederwelt/customer-churn-prediction

Предиктивный анализ оттока клиентов

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AkashSDas/predict-hr-stay-or-leave

Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.

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jadhavsujit4/LuceneIndexing

Search engine that queries for information to find the best results based on custom analysers and indexing techniques.

Language: C - Size: 142 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

Jstacs/PRROC

Language: R - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

rohith28/Classification

Training binary classifier and multi-class classifier to classify the MNIST datase

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