Skip to content
View marta23-10's full-sized avatar

Block or report marta23-10

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
marta23-10/README.md

Hi there! I am Marta

💗 Currently pursuing a degree in Computer Science at Silesian University of Technology (Politechnika Slaska).
💗 My main focus is Data Analytics, Visualization, and Machine Learning.
💗 Passion for anything connected with data.
💗 Outside of coding, you'll find me reading books, baking, or hitting the gym.

Socials:

Facebook LinkedIn email

Tech Stack:

C++ Python R Matplotlib MySQL Postgres Git scikit-learn MySQL Arango DB scikit-learn Pandas NumPy Power Bi

GitHub Stats:



Pinned Loading

  1. eda-students-exam-scores-python eda-students-exam-scores-python Public

    EDA and regression modeling on a student exam scores dataset. Visualizes relations between study habits and performance and trains Linear Regression and Random Forest models to predict exam score (…

    Jupyter Notebook

  2. sales-analytics-portfolio-project sales-analytics-portfolio-project Public

    End-to-End Sales Analytics Project: Transforming raw data into actionable insights using Python (ETL), PostgreSQL, and Power BI. Analyzed revenue, profitability, and customer segments.

    Jupyter Notebook

  3. hr-data-cleaning-and-standarization hr-data-cleaning-and-standarization Public

    A Python data cleaning project demonstrating advanced Pandas techniques, regex, and data standardization on a messy HR dataset.

    Jupyter Notebook

  4. air-quality-prediction air-quality-prediction Public

    This project focuses on analyzing environmental data to predict the Air Quality Index (AQI). It utilizes a dataset containing time-series data of various pollutants (CO, NOx, Ozone, PM2.5, PM10) an…

    Jupyter Notebook