ETL Explained in a few words In this article I attempt to explain the ETL process in a simple way using few words with some Python code. What is ETL? In computing, ETL stands for extract, transform, load. It is the general procedure of copying data from one or more sources into a…

Learn how to automatically and quickly send data from Google Sheets and Excel to Big Query — Google BigQuery (GBQ) doesn’t require additional maintenance costs and processes your data in less than a minute. You can learn about uploading data to GBQ from CSV and JSON files, using the BigQuery API, or from other Google services in this article. …

Performing machine learning with data that is in motion Are you tired of retraining models and want to instead build dynamic models, then online machine learning (and therefore River!) might be what you’re looking for. When the goal is to learn and predict with a single instance at a time…

Anomalies Anomalies are data patterns that have different data characteristics from normal instances. Application In Business The detection of anomalies has significant relevance and often provides critical actionable information in various application domains. For example, anomalies in credit card transactions could signify fraudulent use of credit cards. An anomalous spot in an astronomy…

Data in Action Introduction Insurance companies, financial companies, statistical agencies, and government departments, increasingly require records about entities from multiple sources to be integrated to allow efficient and accurate decision making. In my line of work, I often encounter many millions of records with detailed information about people, such as customers…

This post is for all the Data Scientist /Analysts friends who love Pandas, Scikit-Learn, Numpy & want to apply their analysis to larger datasets without having to rewrite code in another language . As always, I will try to keep this article concise , simple & useful . …

A step-by-step guide. This article is intended to introduce Airflow to beginners. My objective is to keep it succinct, simple and write in a way that that would make a quick read. The main idea is to give you a step-by-step walkthrough on how to deploy Airflow. I encourage you…

Ensemble learning helps improve machine learning results by combining several models. Ensembles can give you a boost in accuracy on your dataset. In this post we will discover how to create some of the most powerful types of ensembles in Python using scikit-learn. We will go through Boosting, Bagging and…

In the cut throat digital age we live today, the importance of setting the right data analysis questions can define the overall success of a department. This article is intended to help everyone from business side of the house , students , interns, anybody who wants to learn more about…