A simple integration between Python and SQL, in this project the Python language and Pyodbc library were used in the Jupyter Notebook environment and SQL were used in the SSMS 19 environment

Face ID recognition for log in users

Julia visualization examples

In this project, I am going to try performing customer segmentation and other related analysis on online retail data using some unsupervised learning techniques via python.

All the code I write for classes (notes, homeworks, projects, etc.).

This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, and many others. The analysis explore the factors and patterns in the creditworthiness of borrowers and the borrowing trend of Prosper Loan Business.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Data Structures, Leetcode Solutions | Python Jupiter notebook

Machine learning model deployment, also known as putting models into production, refers to making your models available to end users or systems. The deployment of machine learning models, on the other hand, is complicated. This post will show you how to use the Flask API to bring your trained machine learning models into production.

Material from IBM course through Coursera

A collection of data analysis and engineering projects showcasing my skills

Simulation of a Spacecraft’s re-entry into the Earth’s atmosphere.

Python integration with RStudio Connect

Beginner-level data science projects covering a range of topics including data visualization, data cleaning and statistical analysis.

Studying PySpark

NFL Jupyter Notebooks

Stable Diffusion WebUI versi Jupyter Notebook di Google Colab.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

In this repository, Churn model prediction is done by using Artificial Neural Network (ANN).

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

A python package for time series analysis using Sentinel-1 SAR

Crawlers to get remote jobs

All my work I'm doing in college.

This repository contains our work for Final Project: Quattro - Rakamin Data Science Bootcamp Batch #30.

Helm Chart & Documentation for deploying JupyterHub on Kubernetes

Main class! practice of Microsoft AI School

This project aims to provide suggestions to increase profit on Adidas products across USA. ANOVA was used to check statistical significance.

Notebooks for Julia Differential Equations

Basic classes for controlling measuring equipment in my lab with PyVisa and some Jupyter notebooks with usage examples

Simulate optical communications systems with Python.