Anaxagor/applybn

Multi-purpose data analysis framework based on Bayesian networks and Causal models

Language: Python - Size: 145 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 16 - Forks: 4

dmey/synthia

📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

Language: Python - Size: 19.7 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 64 - Forks: 9

jfilter/split-folders

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

Language: Python - Size: 88.9 KB - Last synced at: 5 days ago - Pushed at: about 2 years ago - Stars: 420 - Forks: 69

hk-mp5a3/Class-Imbalance

Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).

Language: Python - Size: 180 KB - Last synced at: 3 days ago - Pushed at: almost 7 years ago - Stars: 39 - Forks: 11

analyticalmindsltd/smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

Language: Jupyter Notebook - Size: 70.7 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 659 - Forks: 143

damianhorna/multi-imbalance

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

Language: Python - Size: 66 MB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 78 - Forks: 12

georgedouzas/imbalanced-learn-extra

Implementation of novel oversampling algorithms.

Language: Python - Size: 1.29 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 34 - Forks: 17

rajoy99/osman

osman: OverSampling by Deep Generative Models A pip package which oversamples class imbalance binary data by Deep Generative Models.

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

DitroniX/PVIM-Precision-Voltage-IoT-Monitor

DitroniX PVIM ESP32 AD7606 Precision Voltage IoT Monitor SDK Board

Language: C++ - Size: 71.1 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

priyavrat-misra/xrays-and-gradcam

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

Language: Jupyter Notebook - Size: 3.89 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 52 - Forks: 18

alfurka/synloc

A Python Package to Create Synthetic Tabular Data

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ChaitanyaC22/Fraud_Analytics_Credit_Card_Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

Language: Jupyter Notebook - Size: 67.3 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

alessandrosocc/Machine-Learning-Project-2022

Final project for the Machine Learning course at the University of Cagliari in 2022. Analysis of a dataset, use of Machine Learning techniques with Oversampling and Undersampling techniques. Final report with the results obtained.

Language: Python - Size: 1.4 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mcarocortes/Fraudulent_Transactions

Implementación de modelos de detección de fraude en tarjetas de crédito utilizando técnicas de aprendizaje automático y detección de anomalías. Se aborda el problema del desbalance de clases y se optimiza el rendimiento del modelo para minimizar falsos negativos.

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zahiriddin-rustamov/gat-rwos

A graph attention-guided oversampling method for imbalanced data classification using GAT and random walks.

Language: Python - Size: 622 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

attilalr/cv_with_transforms

Routines to perform cross-validation and nested cross-validation using data transformations

Language: Python - Size: 52.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

microchip-pic-avr-examples/pic18f56q71-rlc-meter-mplab-mcc

This repository contains a MPLAB® X project, a LCR meter implementation using the internal resources of PIC18F56Q71 microcontroller.

Language: C - Size: 14.2 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

RamEppala/imbalanceddatasetproject

Machine Learning Project on Imbalanced Data in R

Language: R - Size: 5.69 MB - Last synced at: 9 days ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 3

ncordon/imbalance

Language: R - Size: 6.55 MB - Last synced at: 22 days ago - Pushed at: over 5 years ago - Stars: 36 - Forks: 5

physicskitten/Diabetes-Study

Oversampling Class Imbalance, Feature Scaling, Parameter Tuning, Assessing Model Performance

Language: Python - Size: 29.3 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

hase3b/Class-Imbalance-Classification-Performance-Analysis

This repository contains the code, documentation, and datasets for a comprehensive exploration of machine learning techniques to address class imbalance. The project investigates the impact of various methods, like ADASYN, KMeansSMOTE, and Deep Learning Generator, on classification performance while effectively demonstrating benefits of pipelining.

Language: Jupyter Notebook - Size: 6.88 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

predict-idlab/TPEHGDB-Experiments

Experiments conducted on the TPEHGDB dataset to reproduce the reported results from "A critical look at studies applying over-sampling on the TPEHGDB dataset"

Language: Python - Size: 168 MB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 2

MaxHalford/pytorch-resample

🎲 Iterable dataset resampling in PyTorch

Language: Python - Size: 242 KB - Last synced at: 30 days ago - Pushed at: over 3 years ago - Stars: 91 - Forks: 4

joaopfonseca/publications

Repository containing most of the source code (LaTeX, Python, etc.) of all experiments and papers I have been involved with.

Language: PostScript - Size: 128 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

mmsaki/credit-risks-ml

Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.

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rdemarqui/financial_distress_prediction

Financial distress prediction from Kaggle

Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ramiyappan/Credit-card-Fraud

Explored various resampling techniques to learn from an imbalanced dataset for detecting Credit card frauds.

Language: Jupyter Notebook - Size: 9.23 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

micahwiesner67/Decision_Tree_Classifier_Heart_Disease

This is an end-to-end machine learning model in which I implement random-forest and decision tree classifiers to predict heart disease. I utilized cross-validation, and oversampling to deal with an imbalanced dataset.

Language: Python - Size: 302 KB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

tweichle/Predicting-Baseball-Statistics

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 14 - Forks: 4

hugohiraoka/Credit_Card_Customer_Churn_Prediction

Bank Credit Card Customer churn prediction

Language: Jupyter Notebook - Size: 66.1 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

juliorodrigues07/url_detection

Malicious URL detector built with deep exploration on feature engineering.

Language: Python - Size: 144 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

juliorodrigues07/tumour_detection

Brain tumour detector built with YOLOv8 model.

Language: Jupyter Notebook - Size: 148 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 1

IgnOrtega/Financial-payment-system-Fraud

Este proyecto consiste en la detección de fraudes utilizando machine learning, datos desbalanceados y técnicas de muestreo.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

AlexisBaladon/Pool-Analyzer

Satellite detection and image segmentation project in swimming pools implemented as a final project of the Image Processing course.

Language: Jupyter Notebook - Size: 223 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

sweesineng/STM32_ADC_MultiCh_OverSmp_DMA_TriggerTimer

STM32H7 ADC Multi Channel Multi Conversion TriggerTimer with Oversample and data transmit with DMA, In HAL/LL library

Language: C - Size: 271 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

bhaveshpariyani/Oversampling-data-analysis

Language: HTML - Size: 1.57 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

Pasqni/Cross_Selling_Prediction

ProfessionAI Data Science Master: Final project for "Fundamentals of Machine Learning" module: Cross Selling Prediction Model

Language: Jupyter Notebook - Size: 8.35 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

gkoays/Oversample-Image-Data-with-Augmentations

Language: Python - Size: 165 KB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning

Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances

Language: Jupyter Notebook - Size: 57.4 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 19

MatteoM95/Default-of-Credit-Card-Clients-Dataset-Analisys

Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

Language: HTML - Size: 25.2 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 6

haniye6776/outlier-detection

Language: Jupyter Notebook - Size: 4.29 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

haniye6776/fraud-detection-using-clustering

Language: Jupyter Notebook - Size: 481 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sumitkutty/Respondent-Group-Classification

6-class classification problem on a large dataset using machine learning.

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abdoghareeb46/NTI-Final-Assignment

NTI-Final-Assignment Use flask(python) and shiny dashboard (R) to build simple user interface to see how choosing classification model may affect prediction accuracy, using Customer Churn Dataset.

Language: Jupyter Notebook - Size: 534 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

WiktorPieklik/BaggFold

Official implementation of Bagging Folds using Synthetic Majority Oversampling for Imbalance Classification

Language: Python - Size: 1.08 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

phiyodr/multilabel-oversampling

Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). :sunflower:

Language: Python - Size: 358 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

monchack/WavOverSampling

Oversample 44.1kHz WAV file to 352.8kHz

Language: C++ - Size: 41 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

RimTouny/Phishing-Attack-Detection-using-Machine-Learning

Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.

Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

alessandrosocc/Deep-Learning-Project-2023

A study of oversampling techniques using GAN and CycleGAN: an overview using a binary classifier. University of Cagliari, 2022.

Language: Jupyter Notebook - Size: 6.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Seohee-Kim/GAN-Oversampling

센서 데이터를 활용한 공정 이상 예측 모델링

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epicure24/Classifier-for-highly-unbalanced-data

This repo represents all the resampling techniques needed to achieve better results in highly unbalanced or skewed data that has 77 % of data in one class and rest in others.

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sharmapratik88/AIML-Projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 110 - Forks: 75

atif-hassan/Regression_ReSampling

A python library for repurposing traditional classification-based resampling techniques for regression tasks

Language: Jupyter Notebook - Size: 187 KB - Last synced at: 12 days ago - Pushed at: almost 5 years ago - Stars: 16 - Forks: 3

newsteps8/Term-Deposit-Prediction

Unbalanced Customer Data

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

ncdisrup-ai/CreditCardFraudDetection

Detect fraudulent credit card transactions through supervised machine learning

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Louis-GUENEGO/NEXYS4ddr_microphone

An audio project with the NEXYS 4 ddr

Language: VHDL - Size: 3.85 MB - Last synced at: 30 days ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2

creativeDev6/twitter_sentiment_analysis_with_word2vec

Twitter sentiment analysis with word2vec.

Language: Python - Size: 2.08 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Warpedro1/Machine-learning-behind-the-curtain

This dataset was used to learn more about how some machine learning models work: KNN, Naive Bayes, and Decision Tree. It also includes some model evaluation metrics: Precision, Recall, Accuracy, and F1-Score. These metrics were derived from the confusion matrix.

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skinan/Improved-Sampling-and-Feature-Selection-to-Support-Extreme-Gradient-Boosting-For-PCOS-Diagnosis

This project is a part of the research on PolyCystic Ovary Syndrome Diagnosis using patient history datasets through statistical feature selection and multiple machine learning strategies. The aim of this project was to identify the best possible features that strongly classifies PCOS in patients of different age and conditions.

Language: Jupyter Notebook - Size: 516 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 6

alhomayani/Oversampling_BLE_fingerprints

The computing scripts associated with our paper entitled "Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models".

Language: Python - Size: 24.4 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

Angienoelhaverly/Credit_Risk_Analysis

Perform a Credit Risk Supervised Machin Learning Analysis using scikit-learn and imbalanced-learn libraries.

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EhtashamBillah/Synthetic-Minority-Over-Sampling-Technique-SMOTE-

For a classification problem, when classes in the dependent variable are severely imbalanced (e.g. 90 yes, 10% no), training an efficient machine learning model becomes very difficult. However with SMOTE method, we can transform the data into a balaced form and train the model efficiently.

Language: R - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

microchip-pic-avr-examples/attiny1627-force-sensitive-resistor-with-12-bit-adc

In the example application, the ADC result will be sent to an android/iOS app over Bluetooth communication using the RN4870 Click board. The ADC result will also be sent to a serial terminal and a 4x4 RGB Click board is used to illuminate different LEDs corresponding to the applied force on the force sensor on the Force Click board

Language: C - Size: 270 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

abhijha3011/Techniques-To-Handle-Imbalanced-Data

Different Techniques to Handle Imbalanced Data Set

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NatenaelTBekele/Credit-Card-Users-Churn-Prediction

Classification model that will help the bank improve its services so that customers do not renounce their credit cards

Language: Jupyter Notebook - Size: 8.05 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Leohrithik/Weather-Prediction

A simple machine learning model using KNN,GaussianNB,SVC algorithms

Language: Jupyter Notebook - Size: 175 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MathCortes/Projeto5-Diabetes-ML_Classification

A base de dados que será estudada nesse projeto contém diversas informações de saúde de pacientes localizados no Hospital de Frankfurt, na Alemanha. Através dela podemos ver quais são os pacientes com e sem diabetes

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joanitolopo/eval-sampling-methods

🔍 Evaluating Sampling Techniques for Healthcare Insurance Fraud Detection in Imbalanced Dataset.

Language: Python - Size: 188 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

prernasingh05/Bank_Customer_Churn_Model

Churn modelling for bank customers using machine learning.

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kaushalshetty/SMOTE

Synthetic Minority Over-sampling Technique

Language: Python - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 34 - Forks: 21

oliviercotte/Multi-level-delta-sigma-modulator

Multi-level second-order (Silva Steensgaard Structure) delta-sigma modulator

Language: VHDL - Size: 68.7 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1

oliviercotte/All-digital-modulator

All digital lowpas delta-sigma modulator (+digital up-converter) tune to fmax = 9 MHz

Language: HTML - Size: 128 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 3

a-memme/Credit_Risk_Analysis

Leveraging sampling techniques and classification algorithms to predict credit risk

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pagoma3/Sampling

Sprint 6, Task 1

Language: Jupyter Notebook - Size: 156 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

nzlul03/improving_ML_performance

Improving Machine Learning Performance by: feature engineering, oversampling and hyperparameter tuning

Language: Jupyter Notebook - Size: 431 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

RaffelRavionaldo/customer-churn-detection-in-telecommunications-companies

Membuat model machine learning XGboost dan logistic regression untuk mendeteksi status dari pelanggan perusahaan telekomunikasi

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fsarab/Credit-Card-Fraud-Detection

Notebook for finding fraud in credit card transactions using machine learning

Language: Jupyter Notebook - Size: 271 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

cdalsania/Credit_Card_Fraud_Detection

This project researched the credit card transaction dataset and tried various machine learning classification models on the dataset to determine the best model that would flag suspicious activity more accurately.

Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

shu-nya/Image-Classification-of-White-Blood-Cells

classification of WBC into 9 subtypes

Language: Jupyter Notebook - Size: 829 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Maoelan/heart-disease-prediction

Heart Disease Prediction with Imbalanced Data Handling using Oversampling and Undersampling, and Deployment using Flask.

Language: Python - Size: 83 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

jianninapinto/Bandersnatch Fork of BloomTech-Labs/BandersnatchStarter

This project implements a machine learning model using Random Forest, XGBoost, and Support Vector Machines algorithms with oversampling and undersampling techniques to handle imbalanced classes for classification tasks in the context of predicting the rarity of monsters.

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NestorRV/SOUL

SOUL: Scala Oversampling and Undersampling Library.

Language: Scala - Size: 8.52 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 10 - Forks: 2

jCodingStuff/NLPReddit

Multinomial classification tasks in Reddit

Language: HTML - Size: 32 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1

microchip-pic-avr-examples/avr64dd32-force-sensitive-resistor-mplab-mcc

Control LED array using a force sensitive resistor on an AVR64DD32.

Language: C - Size: 27.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AvinandanBose/Credit-Card-Fraud-Detection-Machine-Learning-

Credit Card Fraud Detection using Python and Machine Learning.

Language: Jupyter Notebook - Size: 77.5 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

unevens/oversimple

A library for audio oversampling, which tries to offer a simple api while wrapping HIIR, by Laurent De Soras, for minimum phase antialiasing, and r8brain-free-src, by Aleksey Vaneev, for linear phase antialiasing.

Language: C++ - Size: 1.05 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 32 - Forks: 0

jayanttikmani/cross-sellingCaravanInsuranceUsingDataMining

Data Mining of Caravan Insurance Data Set Using R

Language: Jupyter Notebook - Size: 649 KB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 9

adrian-io/mortgage-default-prediction

The goal of this project is to perform default prediction for commercial real estate property loans based on 17 variables.

Language: Jupyter Notebook - Size: 18.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shivtosh/Feature-engineering

This repository has the code for implementation of Principal Component Analysis, Upsampling (SMOTE), Downsampling (Random Undersampler) and combined via SMOTETomek.

Language: Jupyter Notebook - Size: 916 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

akashpalrecha/classification_oversampling

Utility package to help in oversampling images in Image Classification tasks

Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

MaheshBharadwaj/FlightDelayPrediction 📦

Two stage model to predict if a flight is delayed and if so, the amount of delay in minutes. Trained using data from 18,00,000 flights of which ~ 30% were delayed

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

microchip-pic-avr-examples/avr128db48-timer-triggered-adc-sampling-mplab-mcc

This example shows how to configure the Analog-to-Digital Converter (ADC) to trigger a conversion on a specific event. The Timer/Counter type A (TCA) overflow is used to trigger the ADC sample accumulation and ADC result is transmitted through USART.

Language: C - Size: 1.47 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

RaffelRavionaldo/Project-Based-Intern-Data-Science-Virtual-Internship-Experience-

Tugas akhir saat saya melakukan virtual internship ID/X pada laman rakamin

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kpratikin/Credit-Card-Fraud

Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).

Language: Jupyter Notebook - Size: 359 KB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 4

alexandrebvd/udacity-capstone-project-credit-card-fraud-prediction

Udacity capstone project | Credit card fraud prediction | Supervised Learning | Ensemble model | Data Sampling

Language: HTML - Size: 71 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 7

TzeLun/SMOTE

A minority oversampling method for imbalance data set

Language: Python - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

sanchitmisra/Bot-Class-Prediction

Classification model was created to conduct an analysis that can detect the Non- Human Traffic presence on website using, Gradient Boosting Classifier & RF.

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shuwang127/PatchClearance

Data clearance for security patches and non-security patches. This method is described as Nearest Link Search in the paper "PatchDB: A Large-Scale Security Patch Dataset", which appears in 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2021), Taipei, June 21-24, 2021, pp. 149-160.

Language: Python - Size: 388 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

ritzvik/oversampling-techniques

Language: Python - Size: 64.5 KB - Last synced at: 17 days ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 0

alyssonvidal/Credit-Card-Limit-Classification

The project is a challenge for the DS community, where students divided into groups should develop a machine learning model capable of predicting whether the customer, according to their history, could have their request for an increase in the credit limit granted or denied.

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