Some Python scripts & notebooks for Delft3D4-FLOW turbidity current simulations

create and share Jupyter notebook by using watson studio

Full data analysis and data visualization projects notebooks using Pandas, Numpy, matplotlib and seaborn

Create two Jupyter Notebooks: use API calls to determine weather conditions for 500 cities around the equator; use Geoapify API based on the weather analysis to plan future vacations.

This notebook is in the area of People Analytics and includes the analysis of the IBM dataset to identify attrition. Besides attrition I also focus on diversity. I created strategies to reduce attrition.

Module 10 - Using python programming and unsupervised learning, I am creating a notebook that clusters cryptocurrencies by their performance in different time periods. Then I will plot the results for a better visual

Explore cryptocurrency market trends with Python using unsupervised learning techniques. Using Jupyter Notebooks to implement K-means clustering and Principal Component Analysis (PCA) to analyze and predict price trends of cryptocurrencies over 24-hour and 7-day periods.