Master predictive modeling with Scikit-Learn pipelines. Learn the importance of feature engineering and how to prevent data leakage.
In this short project, I scraped all of Lebron's regular season points and plotted them in an interactive graph.
In this project I analyzed a fitness center's attendance data to predict attendance rates of its group classes.
A marketing agency presents a promotional plan to a telecommunication company to increase its subscriber base and generate revenue. Using population and location data, we estimated the feasibility of this plan in this case study.
The tweet that started the trend was posted on June 12 (Philippine Independence day). On that tweet, the author stated that he dined in at a Tropical Hut branch, and he is their only customer. Despite the pandemic “restrictions”, commercial activity on malls and fast food chains are pretty much back to “normal”, so having only one customer is disheartening.
In this project I trained a transformer model to recognize words from audio.
In this article, I fine-tuned a pre-trained object detection model using a small custom dataset.
In this article, we will build a simple deep learning based demo application that can be accessed publicly in Hugging Face spaces
The rate at which unreliable news was spread online in the recent years was unprecedented. In this project, I finetuned some language models to make an unreliable news classifier.
In this article, we will discuss how to quickly showcase your model publicly as a machine learning application for free.
Code This case study is my capstone project for the Google Data Analytics Certification offered through Coursera. I was given access to …