2-month online coding challenge consisting of a series of competitions, online algorithm questions and online training workshops.
The data science projects consists of product classification, sentiment analysis, unsupervised machine translation and marketing analysis.
High variability of solar resource makes managing scheduling electricity generation, dispatching, and regulation of power become difficult task. Therefore, the solar irradiance forecasting help grid operators to schedule, dispatch, and regularize power optimally.
"Do programers consume coffee above normal average office worker and healthy consumption ?"
After i start drinking a cup of coffee as a ritual when coding, i was wandering lots of things about coffee and coding. I decide to do a little data analysis project based on available data on Kaggle for serving my curiosity and EDA practice using Plotly package.
Implemented transfer learning with Convolutional Neural Networks including Resnet50, Efficientnet B5, Inception V4 and Inception Resnet V2, on retinal images for rating
the severity levels of Diabetic Retinopathy using Keras (Tensorflow) and Fastai2 (Pytorch).
Learn to build static web application from scratch using Flask, lightweight WSGI web application framework writen in Python. Features in the app includes creating/deleting user information/post, updating the change into the database (SQlite3) and basic pretrained chatbot.
Reference: Corey Schafer Flask application tutorial