Jaime Ide jaimeide

## kaggle_fraud_sklearn_TF
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Case Study: Fraud Detection\n",
    "\n",
    "Ref: https://www.kaggle.com/mlg-ulb/creditcardfraud"
   ]

## kaggle_fraud_lightgbm_catboost
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Case Study: Fraud Detection (LightGBM and CatBoost)\n",
    "\n",
    "Ref: https://www.kaggle.com/mlg-ulb/creditcardfraud"
   ]

## kaggle_fraud_xgboost
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Case Study: Fraud Detection (XGBoost)\n",
    "\n",
    "Ref: https://www.kaggle.com/mlg-ulb/creditcardfraud"
   ]

## tutorial_dpcca_computation.ipynb

      
        
          
            
              
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                jaimeide
                / tutorial_dpcca_computation.ipynb
            
            
              Last active
              December 28, 2023 12:22
            
              
                Python implementation of the Detrended Partial Cross-Correlation Analysis (DPCCA) coefficient
              
          
        
      
        
  
    
    

          
    
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	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"# Case Study: Fraud Detection\n",
	"\n",
	"Ref: https://www.kaggle.com/mlg-ulb/creditcardfraud"
	]