This is the repository perceived as a data science portfolio. It contains information about my data science/machine learning/artificial intelligence projects and education courses.
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Recruit Restaurant Visitor Forecasting - data analysis, visualization and building model to predict how many future visitors a restaurant will receive.
Highlights: time series forecasting, Kaggle dataset, python, matplotlib, scikit-learn, Jupyter Notebook.
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Money Machine - the application used for trend analysis for currencies (EUR, USD, GBP, CHF) and also some stocks from the Warsaw Stock Exchange. The data used in the analysis is downloaded from multiple unofficial sources. The forecasting/prediction model will be developed soon.
Highlights: currency and stock trend analysis, python, matplotlib, Jupyter Notebook.
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Business Travels Analysis - data analysis and visualization for dataset containing records about business trips in a company.
Highlights: real data, python, matplotlib, scikit-learn, Jupyter Notebook.
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M.Sc. in Computer Science, Wroclaw University of Technology
- Final Thesis: Applied machine learning algorithms in medicine.
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Postgraduate Education, Wroclaw University of Economics
- Course: Data Science - advanced data analysis
- Duration: 2018.10 - 2019.06
List of online courses and workshops I enrolled to in order to acquire knowledge and build my understanding on the subjects related to data science and machine learning.
- Udacity Nanodegree Program - Become a Data Scientist - Term 1 (since 2018.07)
- Data Workshop course - Practical Machine Learning - (2017.10 - 2017.12)
- edX course - Essential Mathematics for Artificial Intelligence
- Microsoft Virtual Academy course - Data Science and Machine Learning Essentials
- Pluralsight course - Understanding Machine Learning with Python
- Udacity course - Machine Learning for Trading
- Udemy course - Machine Learning A-Z™: Hands-On Python & R In Data Science
- Udemy course - Python for Financial Analysis and Algorithmic Trading
Source codes and other resources can be found at data-science-courses repository.
- Practical Machine Learning (Nov - Dec 2017) (DataWorkshop - Vladimir Alekseichenko)
I love listening to podcasts and those are the ones I am subscribing:
This is a selection of books for data science and related disciplines that I often use as a good reference.
If you liked what you've seen, want to have a chat with me about the portfolio, work opportunities, or collaboration, feel free to reach me out:
- Email: mariusz.rokita@gmail.com
- Twitter: @MariuszRokita