Data Analytics Using Python
Facebook has the weirdest ability to show you many ads that speak to your interests based on your browsing history. Coupled with the government's encouragement for more people to up-skill in technology with the introduction of the CITREP+ funding, I found myself enrolled in my first Python programming class in early 2019.
Sitting in a class of younger people; mainly NS men and university students, bought back a feeling of nostalgia. I loved my university days. One of the first modules I had in university was "Programming with C++". I couldn't wrap my head around programming and math, but, nevertheless, I enjoyed the module tremendously, being introduced to programming syntax, iterations such for loops and while loops.
When I graduated from school, there was little use for programming in my work. But over the years outside of work, I continued to dabble in different programming languages. This website is also born out of that kind of curiosity.
It wasn't until Python programming class that I started paying a lot more attention to what I was doing outside of work. The concepts of Statistics, Classification and Regression models in Machine Learning, and Naive Bayes classifier in Sentiment Analysis that made me sit up. These were models and theory I have learned before, and here we are in python programming class actually implementing the models and generating results for analysis.
I felt like this is a big aha moment for me and this was the starting point in my big interest in Data Science.
Read on to see my projects in Python.