I'm so excited to write this post. Time series forecasting was something that I thought was missing from the classes I took at SMU. Prof Roh pointed me in the direction of learning Prophet from Meta.
Trying my hand at my second Kaggle competition using quanteda. I wonder how I will perform. Wish me luck!
I completed Module 5 of my course, which was about Text Classification and Topic Modeling. I wanted to get some practice with what I learnt in class, as well as explore more about the quanteda package.
My first Kaggle competition. Wish me luck.
We ran out of time during class due to the immense amount of material that needed to be covered. Hence, these assessment questions became homework assignments. Within, you will find explorations of PCA using the tidymodel way, as well as using prcomp from Base R.
This short exercise was assigned as homework. Let's practice my ML skills and try and predict customer attrition from this dataset.
Use Machine Learning to develop a model to determine if a proposed drug could be a mutagen.
Type 2 diabetes is one of the most prevalent chronic diseases in the United States, affecting the health of millions of people, and putting an enormous financial burden on the US economy.
In this next exercise, we try and predict the probability that a hotel's reservations will eventually be cancelled, given information we have on hand, such as ADR, customer segment, and deposit type...
Let's try and predict the mediaa rental price per sqft of HDA flats given information about their location, age, distance to MRT station....
ML
I started Module 1 of SMU Academy’s Predictive Analytics and Machine Learning class in January 2024. This blog will serve as a repository for various Machine Learning projects I embark on.
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