IBM Data Science Professional Certificate

Descriptive And Inferential Data Analysis Using Python Projects

WatchTower - A platform to save your valuable time while staying updated in the Cyber realm.

Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.

An introduction to python

Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.

A native Rust library for Delta Lake, with bindings into Python

My Personal Bio with a Github Action which generate a chart of my Blitz Chess Rating from Lichess.com

Classifying whether an asteroid is hazardous or not.

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.

Análise dos fatores depressivos - base de dados NHANES 2005-2006

The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

Seamlessly switch Pandas DataFrame backend to PyArrow.

This repository contains my solutions to LeetCode's Daily Challenges and Study Plan problems. It's a resource where I share my approaches and solutions to various coding challenges found on LeetCode.

Full stack Data science : How to become a data scientist

I am an aspiring Python developer who has honed my skills by creating several projects while mastering the language’s fundamentals. My work spans web development, machine learning, and natural language processing (NLP). Additionally, I have a background in education.

Practice sessions for the elective course "Machine Learning and Data Mining" in the Faculty of Mathematics and Informatics, Sofia University.

Daily scraper for player stats in the WHL

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Collection, visualization and analyses of data for different categories of Indices.