Welcome to my first monthly update!

On my blog, you will find content about my self-taught journey along with occasional analytical commentaries on software-engineering-related topics. I want to keep the monthly update clean and precise, if you are curious about the details you are welcome to check out my weekly blogs.

Accomplishments:

Fundamentals of Supervised Machine Learning

• Linear, Logistic, Polynomial & Softmax Regression

• Gradient Descent & Vectorization

• Regularization & Metrics

• Neural Network, Activation functions & Forward and Backward Propagation

Fundamentals of ML Libraries

• Scikit-learn, Numpy & Panda (check out my Scikit-learn Project on Kaggle)

• TensorFlow & Keras

Fundamentals of Embedded Environment

• Improved Proficiency in C

• Memory Management, Pointer & Segmentation fault

Fundamentals of Data Analytics

• Process of Data Analysis

• Data Life Cycle

• Introduction to SQL for database management

Project in progress

Unlike the small Scikit-learn project I've been diligently working on over the past couple of weeks, I've envisioned THREE big projects and ONE colossal project (not happening anytime soon) which will lead to the ultimate project of my life. For now, the three big projects are what I want to build and will be part of my portfolio. Due to the size of these endeavors and my limited availability, I will provide progress updates only during my monthly check-ins as I juggle various courses and potentially additional commitments.

However, I've already started planning for the first one. As a teaser, I can reveal that it will involve employing a neural network within a pre-trained GPT model. It'd be irresponsible for me to draw further detail at this point. So (finger-crossed) I can bring this into reality and I hope to share more information as it becomes available.