Hrishikeshbele's Stars
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
amanjeetsahu/Natural-Language-Processing-Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Yang-Munil/Encore_PlayData_Semi_Project
UCI Bank Marketing || Dealing with Imbalanced Datasets
Brunopaes/mooncake
This Data Science-like project is aimed on analyzing a bunch of techniques for False Negatives (Frauds classified as Non-Frauds) in a extreme imbalanced dataset - Financial Fraud and improving the predictors performance.
faerlin-developer/binary_classification_with_imbalanced_dataset
Final project for Machine Learning Certificate at Brainstation
janeminmin/imbalanced-dataset-analysis
In this project we address the problem of classification on imbalanced classes dataset to predict if the client will subscribe a bank term deposit. We use a number of machine learning and deep learning algorithms: random forest tree, logistic regression, linear supporting vector machine and multi-layer perceptron neural network, to perform the classification. Combining those algorithms with four ways of rebalancing methods, we are able to compare precision, recall, 10-fold cross-validation scores and auc-roc curve of the mentioned method-combinations. Furthermore, we discuss the reasons of differences among rebalancing methods on different algorithms. LinearSVC has best performance considering processing time and performance indices. Using randomly undersampling, it can achieve the classification sensitivity (recall) of 0.67 and precision of 0.27 with an auc score of 0.72 on class yes. In the end, we took logistic regression algorithm as example to build up our cost-based model, using cross validation to find out the best lowcost rate for class “no” (Known that cost for class “yes” is assigned as 1). Meanwhile we compared it with the f1 score targeted model with best class_weight parameter.
Limor-Raviv/Tutorial_Agent_Based_Models
A Tutorial for Agent Based Models in Python
ssiddhantsharma/Simple-SIR-Model
A basic SIR model to improve my understanding on the subject.
petroniocandido/COVID19_AgentBasedSimulation
COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
TheAlgorithms/Python
All Algorithms implemented in Python
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.