My Toolbox
My foundational knowledge in Machine Learning comes from self-directed MOOCs, and I practice my skills by working on side projects or Kaggle competitions that I find interesting. I am adept in building ML models for regression, classification, Natural Language Processing, image classification, image segmentation.
Here's a list of the programming languages I speak:
- Python (scikit-learn, Pandas, Keras, OpenCV, Dask, etc)
- Pytorch
- Tensorflow
- R studio (Rmarkdown, ggplot, dplyr, etc)
- SQL
- Spark MLlib
- Matlab (my first programming language)
- MongoDB
- Tableau
- D3
- Docker
Course Certificates
- Machine Learning Engineering for Production (Coursera)
- AWS Machine Learning Certificate
- AWS Cloud Practitioner Certificate
- Deep Learning 5-course Specialization (Coursera)
- Bayesian Statistics: From Concept to Data Analysis (Coursera)
- Machine Learning (Coursera)
- Learning Python for Data Analysis and Visualization (Udemy)