Background and Motivation Since the start of the COVID-19 pandemic, there have been numerous studies aimed at understanding how the virus propagates, how effective different measures are in slowing the spread of the virus, and on attempts to forecast the number of positive cases and/or deaths caused by the virus Continue Reading
XGBoost Hyperparameter Tuning
As I mentioned in my last post, I revisited my earlier Github projects (https://github.com/marin-stoytchev/data-science-projects ) looking to apply some of the things learned during the last four months. One of the projects I put significant work into is a project using XGBoost and I would like to share some insights Continue Reading
Taking the AWS Certified Machine Learning – Specialty Exam
After taking the AWS Certified Cloud Practitioner exam in April, following my plan on May 20th I took successfully the AWS Certified Machine Learning – Specialty exam. Here I would like to share my preparation for the exam and the experience with taking the exam itself. Preparation for the exam Continue Reading
Taking the AWS Certified Cloud Practitioner Exam
Five days ago, I took the AWS Certified Cloud Practitioner exam and would like to share my experience while it is still fresh in my mind. Motivation for taking the exam My motivation for taking this exam was manifold. The first reason is my belief that having knowledge and being Continue Reading
LSTM Suitability For Stock Price Predictions And Other Thoughts
The subject of this post is the use of LSTM models for time series analyses and stock price predictions in particular. In February this year, I took the Udemy course “PyTorch for Deep Learning with Python Bootcamp” by Jose Portilla. I would like to mention that this is a good Continue Reading
One Of My First Experiences With Kaggle Data
After taking several Data Science and Machine Learning online courses (for more on this see my previous post) in January 2020 I decided to create my own projects with real-world data. I had already decided that I will be using Random Forest Classifier (RFC) and was looking for suitable data Continue Reading
Thoughts On The Data Science And Machine Learning Courses I Have Taken So Far
In January 2019, after a long career in the wireless communications industry I decided to leave my job and to focus on transitioning into the fields of Data Science and Machine Learning (I discuss what lead me to this decision in my previous post). However, I did not start right Continue Reading
My Path In Science And Engineering Until A Year Ago
Blogs are intended for the people who would read them, but in my first post I would like to provide some background before moving on to discussing subjects related to Data Science and Machine Learning. It is in the nature of scientists and engineers wanting to learn new things and Continue Reading