Productionizing Data Science Projects Using Sagemaker Notebooks and Airflow DAGs — In this article, I will talk about my experience on scheduling data science project’s notebooks on AWS Sagemaker instances using Airflow. …

A new tool that does what Airflow does but better — When I first joined my current company my first major project was deciding on a data stack we wanted to use for analytics. I researched the best solutions for ingestion, warehousing, transformation, and orchestration. All the others were fairly straightforward but the orchestration part stumped me. Sure, Airflow may be…

At Fasal we train and deploy machine learning models very fast and efficiently and for this, we have set up an AutoML approach to select the best performing model. In this article, I will discuss the approach that we use to automate our training and logging of machine learning models. …

Introduction In this blog, we will discuss the workflow of a Machine learning project this includes all the steps required to build the proper machine learning project from scratch. We will also go over data pre-processing, data cleaning, feature exploration and feature engineering and show the impact that it has on…