caesarmario
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Just Nobody on GitHubJakarta, Indonesia
Pinned Repositories
big-mart-sales-preprocessing-SAS-studio
Data preprocessing, feature engineering, and EDA for "Big Mart Sales" data set using SAS Studio. The dataset is taken from Kaggle (https://www.kaggle.com/mrmorj/big-mart-sales).
data-slices
Welcome to "Data Slices", where imagination and information converge, inviting you to see the world through a new lens of data-driven artistry.
data-wizards-meetup
This repo is dedicated to the first Data Wizard meetup.
database-bookstore-case-study
A case study about designing simple database system for a bookstore. This repository contains ERD design and SQL codes for design of bookstore database system. The main purpose of this system is to build database system for bookstore.
etl-credit-card-dataset-using-pentaho
This repository contains ETL file from Pentaho Data Integration. The ETL process cleaned applicant with empty values/data and dirty data. The dataset is taken from https://www.kaggle.com/rikdifos/credit-card-approval-prediction
heart-disease-prediction-with-logistic-regression-SAS-studio
Heart disease prediction with logistic regression using SAS Studio. The dataset is taken from UCI Machine Learning about heart disease.
loan-prediction-SAS-studio
Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.
Mall-Customers-Clustering-Analysis-using-SAS-Enterprise-Miner
This repository contains mall customers clustering analysis. This repository also uses SAS Enterprise Miner to perform clustering and identify each cluster's characteristics. Full explanations about this repository can be seen on: https://medium.com/@caesarmario/mall-customers-clustering-analysis-da594bd2718b
online-banking-system-with-python
A banking system using Python. This codes allows the user to effectively manage all transactions of customers easily. The main purpose of this system is to simulate customer’s transaction management for Bank to maintain the detail record and for Bank Customer to do Transaction.
Team-Mayo-UN-Youth-Hackathon-2022-Submission
This repository is the Mayo team's submission of answers for the UN Youth Hackathon 2022. This repository includes Jupyter notebooks, presentation files, and raw & cleaned datasets. The topic is the rise of food & energy prices that affect poverty and hunger in Malawi.
caesarmario's Repositories
caesarmario/database-bookstore-case-study
A case study about designing simple database system for a bookstore. This repository contains ERD design and SQL codes for design of bookstore database system. The main purpose of this system is to build database system for bookstore.
caesarmario/data-slices
Welcome to "Data Slices", where imagination and information converge, inviting you to see the world through a new lens of data-driven artistry.
caesarmario/heart-disease-prediction-with-logistic-regression-SAS-studio
Heart disease prediction with logistic regression using SAS Studio. The dataset is taken from UCI Machine Learning about heart disease.
caesarmario/online-banking-system-with-python
A banking system using Python. This codes allows the user to effectively manage all transactions of customers easily. The main purpose of this system is to simulate customer’s transaction management for Bank to maintain the detail record and for Bank Customer to do Transaction.
caesarmario/etl-credit-card-dataset-using-pentaho
This repository contains ETL file from Pentaho Data Integration. The ETL process cleaned applicant with empty values/data and dirty data. The dataset is taken from https://www.kaggle.com/rikdifos/credit-card-approval-prediction
caesarmario/big-mart-sales-preprocessing-SAS-studio
Data preprocessing, feature engineering, and EDA for "Big Mart Sales" data set using SAS Studio. The dataset is taken from Kaggle (https://www.kaggle.com/mrmorj/big-mart-sales).
caesarmario/data-wizards-meetup
This repo is dedicated to the first Data Wizard meetup.
caesarmario/Mall-Customers-Clustering-Analysis-using-SAS-Enterprise-Miner
This repository contains mall customers clustering analysis. This repository also uses SAS Enterprise Miner to perform clustering and identify each cluster's characteristics. Full explanations about this repository can be seen on: https://medium.com/@caesarmario/mall-customers-clustering-analysis-da594bd2718b
caesarmario/loan-prediction-SAS-studio
Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.
caesarmario/data-warehouse-credit-card-applicant-using-pentaho
This repository contains OLTP, ETL process (using Pentaho Data Integration), and OLAP of credit card dataset. The dataset is taken from Kaggle (https://www.kaggle.com/rikdifos/credit-card-approval-prediction) and part of author Capstone Project.
caesarmario/bootcamp-idao-2022
IDAO 2022: Machine Learning Bootcamp
caesarmario/caesarmario
Personal repository
caesarmario/customer-rating-prediction-using-SAS-Enterprise-Miner
This repository contains SAS Enterprise Miner file to predict customer rating. The dataset is taken from Kaggle (https://www.kaggle.com/aungpyaeap/supermarket-sales).
caesarmario/introduction-to-decision-analysis
This repository contains tutorials/explanations about decision analysis. Some examples of decision analysis also performed using R programming languages.
caesarmario/Team-Mayo-UN-Youth-Hackathon-2022-Submission
This repository is the Mayo team's submission of answers for the UN Youth Hackathon 2022. This repository includes Jupyter notebooks, presentation files, and raw & cleaned datasets. The topic is the rise of food & energy prices that affect poverty and hunger in Malawi.
caesarmario/caesarmario.github.io
caesarmario/mnist-fashion-classification-tensorflow
MNIST Fashion Classification using TensorFlow (2019 version). The dataset is taken from Kaggle (https://www.kaggle.com/zalando-research/fashionmnist).
caesarmario/multiple-linear-regression-and-factor-analysis-red-wine-quality-using-IBM-SPSS
This repository stored the output of IBM SPSS's multiple linear regression and factor analysis of red wine quality dataset. The dataset used is from Kaggle (https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009). The software used in this repository is IBM SPSS 26
caesarmario/python-programming-training
Personal repository for python programming training.