albarpambagio Goto Github PK

a133-gcp-labs

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

backpropagation101

balanced-scorecard-dashboard

This dashboard prototype serves as a foundation for future development. By integrating diverse metrics into a compact dashboard, aimed to empower executives to make informed decisions while efficiently managing their time across various responsibilities.

belajar-golang-dasar

Belajar GoLang Dasar

chart-doctor

Sample files to accompany the FT's Chart Doctor column

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

data-science

:bar_chart: Path to a free self-taught education in Data Science!

dw-productsurvey

This Python script simplifies the cleaning and processing of survey data in CSV format. It streamlines data preparation for surveys with multiple-choice questions, making it easier to analyze and work with the collected responses.

econ-food-data

This Python repository analyzes food price trends with modules for data handling, profiling, trend analysis, correlation, hypothesis testing, and Plotly visualizations. Designed for diverse datasets, it provides insights for decision-making.

food-econ-data

foodprice-forecasting

hugo-starter-project

math

🧮 Path to a free self-taught education in Mathematics!

missing-semester-id

The Missing Semester of Your CS Education 📚

notes-app-back-end

pet-projects

self-service-pos-system

This project aims to simplify and automate the checkout process for retail stores. Our system allows users to create, manage, and track transactions effortlessly, enhancing the shopping experience for both customers and store operators. With features like item addition, editing, summary display, total calculation, transaction reset etc

sumur-eda

Analyze the Olist dataset with ease using Python DataAnalysis class. Fetch, clean, and visualize data on customer cities, payment types, order status, and popular seller cities. Dive into the world of data analysis with SQLite, Pandas, Matplotlib, and Seaborn. Discover insights and trends in the Olist dataset effortlessly.