cRistiancec

analytics-framework

RFM Analysis, Machine Learning Forecasting and Predictive Modeling for a business

animated_bar_charts_in_R

Code to demo how to build Animated Bar Charts in R

bz_vis_luxor_strat

Trading Project 01: Data visualization of Brent crude oil futures historical prices and testing Luxor trading strategy

COVIT-19

Python Pandas MatPlotLib Public Datasets

Credit-Risk-Analysis

Credit-Risk-Modeling-ARIMA-Time-Series-Forecasting-ADF-Test

ARIMA, Time Series Forecasting, ADF Test

DMKM_CS_CreditScoring

CASE STUDY about CREDIT SCORING PROBLEM

EncServicio

Encuesta Servicio IGS

Estadistica-con-R

Apuntes personales sobre estadística, machine learning y lenguaje de programación R

forecasting-time-series

Time series forecasting is the use of a model to predict future values based on previously observed values. Time series are widely used for non-stationary data, like economic, weather, stock price, and retail sales in this post. We will demonstrate different approaches for forecasting retail sales time series

cRistiancec/analytics-framework

RFM Analysis, Machine Learning Forecasting and Predictive Modeling for a business

cRistiancec/forecasting-time-series

Time series forecasting is the use of a model to predict future values based on previously observed values. Time series are widely used for non-stationary data, like economic, weather, stock price, and retail sales in this post. We will demonstrate different approaches for forecasting retail sales time series

cRistiancec/1.Credit_risk_modelling_Project

This is a credit risk modelling project done for a real company. Language used is R. Models used: multiple regress, k-means clustering, random forest classification.

cRistiancec/Analisis-de-Componentes-Principales--ACP-

El análisis de componentes principales (ACP)

cRistiancec/Canada-Housing-Prices-SVAR

cRistiancec/covid_prediction_ec

This repository contains the scripts implemented for the predictions of Covid-19 in Ecuador, using R language..

cRistiancec/Credit-Card-Default-Prediction-

Aim is to predict credit card default. This notebook discusses about the whole data science project cycle involving EDA, visualizations, feature engineering, feature selection, model building.

cRistiancec/Credit-card-default-prediction-1

Default of Credit Card Clients Dataset

cRistiancec/Credit_Cards-Clustering

Clusterización y análisis de datos sobre comportamientos de clientes con tarjetas de crédito.

cRistiancec/curso-see

Taller Final del curso: Procesamiento de Lenguaje Natural organizado por la Sociedad Ecuatoriana de Estadística, dictado por Hugo Porras

cRistiancec/Customer-Segmentation-credit-card-transaction-using-PCA-and-DBSCAN

Customer segmentation helps in enabling companies to identify patterns and behaviors within their customer base. This repository outlines my significant contribution to the project, which involved the implementation of the DBSCAN clustering algorithm in conjunction with PCA for dimensionality reduction.

cRistiancec/ECM

Estimate of GDP growth rate by error correction models (Brazil Example)

cRistiancec/EP6035

Tecnicas de analisis de series de tiempo

cRistiancec/fable

Tidy time series forecasting

cRistiancec/free_r_tips

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

cRistiancec/Giant_Super_Store_Sales-Forecasting-R

Giant_Super_Store_Sales Forecasting-R

cRistiancec/Introducci-n-a-tidyverse

Introducción a tidyverse - R Weekend

cRistiancec/meetup-presentations_barranquilla

cRistiancec/modelo_GARCH_MSFT

Modelación del precio de cierre de las acciones de Google a través de un modelo GARCH de series de tiempo.

cRistiancec/Modelos_VAR

Este repositorio presenta la predicción del PIB y tasa de inflación en Honduras mediante modelos VAR

cRistiancec/PowerBI-visuals-clustering-kmeans

R-powered custom visual. Implements k-means clustering

cRistiancec/practica_final_visualizacion

cRistiancec/Proyectos_Dario

Ejercicios_de_practica_en_R (Estadistica descriptiva)

cRistiancec/R-Studio-Twitter-Scrape-Word-Cloud-and-Sentiment-Analysis

cRistiancec/redaccion_documentos_R

Este repositorio servirá para almacenar el material del curso Redacción de documentos académicos con R

cRistiancec/Risk-Model

Project part of "Risk modelling" class

cRistiancec/Risk-Models-1

Score de Crédito, Grupos Homogéneos y Alocación de Capital de la cartera crediticia

cRistiancec/rstudio-themes

A collection of themes for RStudio

cRistiancec/Time-Series

I show how to analyze time series, make forecasts and use various methods to evaluate time series models.

cRistiancec/Time_series_analysis_arctic-

The scope of our project includes using R for Time Series Analysis and Forecasting, using several models for Time Series Data to improve interpretability and to emphasise y trends or patterns.