Journal 45
June 10 - June 16 I can't believe we are at the end of this course! These last 8 weeks have flown by because I was genuinely interested in the topics and enjoyed learning everything. This week was especially rewarding because it felt like the culmination of everything we have learned throughout the course so far, particularly with our lab homework being a sort of free-for-all coding assignment. I enjoyed the responsibility of designing and implementing my own machine learning workflow from start to finish. One of the most important things I learned this week was that building a machine learning model involves much more than just selecting an algorithm and fitting it to the data. I had to think carefully about each step of the process. I explored the data to understand the target variable and investigate relationships between predictors and churn. Then, I encoded categorical variables, split the data into training and test sets, scaled the predictor variables appropriately, tuned h...