NumPy and overview of the general Python libraries
When
This workshop will cover general Data Science methods, techniques, and tools to enable scientific discovery in the applied sciences. It will help participants in carrying out a complete data mining & data modeling process with the help of statistical analysis, classical machine learning and visualization techniques.
Skills development:
- Apply Jupyter Notebooks in your problem-solving environment.
- Discover how the Python programming language is used in general applied Data Science tasks.
- Make use of NumPy library for working with fundamental data structures and mathematics.
- Solve data analysis problems with the help of the Pandas library.
- Produce different data visualization plots with the help of Matplotlib and Seaborn libraries.
- Classify the main type of Machine Learning problems and identify the most used algorithms.
- Carry out Time Series Analysis and produce forecasting scenarios.