Week 21, 2021
The highlight this week was that CEEW and I decided to use google’s YOLO model to use in the bus shelter assesment project.
Work ★ ★ ★ ☆ ☆
I spent around 40% of the time in troubleshooting a bug in production. Another 30% in project management for the new contract. The remaining time was spent in creating database metrics mapping to clients internal measurement points. This task was challenging in that it required me to look at tiny details and make my way through incomplete and incoherent documents. No analytics or optimization at all this week.
Projects ★ ★ ★ ★ ☆
Machine Learning Bootcamp
This week I learned and applied concepts of Suport Vector Machines for an image recognition project. Another project was to perform Credit Assessment for a bank to predict how likely a candidate is to receive loan from the bank. The image recognition problem introduced me to the concept of Principal Component Analysis for feature selection and making pipelines to pre-process data. We also used GridSearchCV to find the best possible combinations of hyper-parameters like Gamma, C etc. And the Bank Credit Assessment had over 35 features including age, education, sex, duration, balance, etc. There were a lot of features and we used Pearson Correlation, and P-value to get rid of highly correlated features. p-value kept 17 features out of 37. Then we introduced Lasso Regressor which brought down the features to 2. And then Random Forest Classifier algorithm from sklearn package did the rest.
CEEW – Sustainable Mobility Research Assistant
We decided to go with Object Detection pre-trained model to rank the bus stops based on accessibility and security. The YOLO model (You Only Look Once) from Tensorflow evidently works best however, recent upgrades to other dependent packages like numpy and Keras have rendered the model unworkable. I felt frustration after upgrading and downgrading many packages but I still failed. I tried to find other pre-trained models but I was advised against it by the project lead. I hope the following week brings great news.Books ☆ ☆ ☆ ☆ ☆
No reading at all this week 🙁
Fitness ★ ★ ★ ★ ☆
- Biking: Decent miles covered this week. I approached close to 30 miles. Thanks to commute once again.
- Gym: I went to the gym only once this week. I feel horrible. I lack the discipline to make each hour count every single day. I had a lot of time to squeeze in a workout but I didn’t go. I found excuses like I went to the gym yesterday, or I biked 15 miles yesterday, or the left knee needs some rest. I wish to conquer these mind games. I hope I do. At least for the next week.