Name: Mario Caesar
Type: User
Company: Just Nobody on GitHub
Bio: Hello World!๐ | Welcome to my profile | Check out my other works โคต
Location: Jakarta, Indonesia
Blog: https://linktr.ee/caesarmario_
Mario Caesar's Projects
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).
IDAO 2022: Machine Learning Bootcamp
Personal repository
This repository contains SAS Enterprise Miner file to predict customer rating. The dataset is taken from Kaggle (https://www.kaggle.com/aungpyaeap/supermarket-sales).
Welcome to "Data Slices", where imagination and information converge, inviting you to see the world through a new lens of data-driven artistry.
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.
This repo is dedicated to the first Data Wizard meetup.
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.
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 using SAS Studio. The dataset is taken from UCI Machine Learning about heart disease.
This repository contains tutorials/explanations about decision analysis. Some examples of decision analysis also performed using R programming languages.
Loan eligibility prediction in Lasiandra Finance Inc. (LFI) using SAS studio.
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
MNIST Fashion Classification using TensorFlow (2019 version). The dataset is taken from Kaggle (https://www.kaggle.com/zalando-research/fashionmnist).
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
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 customerโs transaction management for Bank to maintain the detail record and for Bank Customer to do Transaction.
Personal repository for python programming training.
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.