📊 Applied Machine Learning in Python
In this certification, I learned and applied a variety of machine learning techniques, ranging from supervised learning for classification and regression to unsupervised learning for clustering and dimensionality reduction. I also learned how to evaluate model performance using techniques such as the Area Under the ROC Curve (AUC), as well as recall, precision, accuracy, and cross-validation, among others.
Jun 26, 2025
📊 Applied Plotting, Charting and Data Representation in Python
In this certification, I learned the fundamentals of information visualization, with a focus on creating reports and charts using Python’s Matplotlib library. I also learned to identify the key elements that make a visualization effective and engaging, how they differ from ineffective ones, and the best practices and design principles for clear communication.
May 30, 2025
📊 Introduction to Data Science with Python
I studied the foundational concept of Data Science with python. By the end of the course, I was familiar with data manipulation and cleaning techniques using the python pandas data science library. I also learned about Series and DataFrames as the central data structures for data analysis. Furthermore, I also learned how to run basic inferential statistical analyses.
Aug 28, 2024
Learn Python
Easily learn Python in 10 minutes!
Oct 24, 2023