On the first week, I started learning Intelligent System and got tasked to get the topic for final project and also got into a group. So, I got into a group with Frendy and Fariz.
On the second week, I told my group that we should try stock prediction as our topic for final project.
On the fifth week, we started to search around what algorithm that will be suited for stock prediction. But Frendy and Fariz weren’t familiar with stock prices and their terms. So they learned on about stock first.
On the sixth to eighth week, we were still confused on whether to implement and searching for the algorithm that are suited for stock prediction.
On the ninth week, we found one article that are probably suited for our final project https://towardsdatascience.com/https-medium-com-vishalmorde-xgboost-algorithm-long-she-may-rein-edd9f99be63d
In the tenth and eleventh week, we started to play around with the code and how to implement XGBoost, we did find some code, but they were only predicting and showing the accuracy only, not the chart and not the closing price.
In the twelfth week, as our project presentation growing near. We asked our lecturer, Ms. Nurul about it and I finally understand the code and I tinkered with it. I was more to tinker with the XGBoost code rather than the SVM and Linear regression as it was being done by the others.
