AI/ML Projects

Certificates

Machine Learning Specialization

Stanford Online Coursera

Completed: January 14, 2024

3 Courses

Comprehensive specialization covering modern machine learning concepts including:

  • Supervised Machine Learning: Regression and Classification
  • Advanced Learning Algorithms
  • Unsupervised Learning, Recommenders, Reinforcement Learning

Topics covered: Linear regression, logistic regression, neural networks, decision trees, clustering, anomaly detection, and best practices for building ML models.

Data Science

Between 2023 and 2024, I explored the theoretical foundations of data science, focusing on data analysis, data wrangling, and data visualization concepts.

I studied how to structure, clean, and interpret data using NumPy and Pandas, and learned about machine learning fundamentals, Jupyter notebooks, and Bash scripting.

These studies, completed through Udemy, Datawars.io, and Coursera, gave me an understanding of data organization and analysis principles that I aim to apply in future real-world projects.