Hello all! I have writing on Medium for some time, but I just realized that I never create a complete About Me page — well, here it is. My name is Cornellius Yudha Wijaya and I am originally came from Indonesia. Currently, I have a full-time job as a Data…

Which pandas data frame EDA packages suit you? — As a data scientist, our work would always involve exploring data or often called Exploratory Data Analysis (EDA). The purposes of exploring data are to know our data better and grasp what we are dealing with. Previously, exploring data using the pandas data frame is a big hassle because we…

Learn the reinforcement learning hands-on with these packages — Reinforcement Learning is a machine learning study field with concerns about optimal decision-making. By learning from the environment, Reinforcement Learning would find the parameter that maximizes rewards. Unlike supervised or unsupervised learning, Reinforcement Learning uses an independent learner (agent) to learn the environment without any labels or directions. The learner…

Know the differences in the machine learning algorithms — A machine learning model is an algorithm designed to study data and create an output that solves human problems. What is a classification algorithm in machine learning, and how useful was each model in solving our business problem? What Is the Difference Between Supervised, Unsupervised, and Reinforcement Learning? Machine learning is a field of study where humans try to give…

Improve your workflow with these extensions — Jupyter is a platform many data scientists use to perform their work and was mainly developed for data people. Jupyter is widely popular in the data community because the environment is much more intuitive than other programming IDE and accessible at any level. As good as it is, working on…

End-to-end AI model development in one platform in one place — AI model application is becoming bigger with many relevant use cases such as image and object detection. The progress was tremendous, and instead of developing the model from scratch, we could rely on a platform that would provide automatic model development. I have recently come across an automatic hardware-aware AI…

Learn widely used Graph Database for your skillset — Data is everywhere and can be stored in any kinds of form. With the current progression of technology, data is not only stored in the form of tables but could have another possible form. One of them is in graph form, which we call a graph database. Graph database store…

Synthetic data could help mitigate fraud cases — Fraud cases are common in any business industry and cause massive financial loss. Small or Big, every business would face the fraud problem whether they like it or not — as long as there are people with bad intentions. Many efforts have been exerted in machine learning fraud detection research…

Some of the time series packages you could add to your arsenal — Time series forecasting is a method in the statistics field to analyze historical data with a time component and create a prediction based on it. Some classic examples of time series forecasting methods are Moving Average, ARIMA, and Exponential Smoothing. These methods have been used for a long time and…