In this article, the use of probability sampling methods is discussed. As data science enthusiasts, we come across different situations where we need to draw conclusions on several populations of interest. However, several restrictions are there if we are to study the whole population. It is time consuming, costly and…

Consider that you are an amateur bettor and started betting for money recently. Having lost a number of your initial bets, you decide to ask an expert bettor to reveal his betting strategy. The expert comes up with a number of rules-of-thumb he considers to have helped him to make…

Machine Learning (ML) Pipelines help maintain the order of various sequential steps in a workflow from basic data injection to cleaning, model training, monitoring, and deployment. …

Welcome back to the four-part series featuring the Women@OCTAVE: Vindya Mahavithana — Analytics Delivery Manager, Hiruni Kandaudaarachchi — Analytics Delivery Manager, Karisma White — Analytics Delivery Associate, Malshini Nissanka — Data Science and Engineering Associate, Akshila Anurangi — Data Science and Engineering Associate, and Poorna Rajapathirane — Visualisation Analyst. …

Welcome back to the four-part series featuring the Women@OCTAVE: Vindya Mahavithana — Analytics Delivery Manager, Hiruni Kandaudaarachchi — Analytics Delivery Manager, Karisma White — Analytics Delivery Associate, Malshini Nissanka — Data Science and Engineering Associate, Akshila Anurangi — Data Science and Engineering Associate, and Poorna Rajapathirane — Visualisation Analyst. …

Welcome back to the four-part series featuring the Women@OCTAVE: Vindya Mahavithana — Analytics Delivery Manager, Hiruni Kandaudaarachchi — Analytics Delivery Manager, Karisma White — Analytics Delivery Associate, Malshini Nissanka — Data Science and Engineering Associate, Akshila Anurangi — Data Science and Engineering Associate, and Poorna Rajapathirane — Visualisation Analyst. Today…

This International Women’s Day, OCTAVE is delighted to resume our series Women@OCTAVE! …

A realistic view of what is typically expected from a Data Scientist candidate, and how you can achieve it. — “I’m a final year university student enthusiastic about Data Science and want to start my career in Data. I have done a few Data Science certifications; what other skills are important for me to become a Data Scientist?” As Data Science professionals, we hear this question often. Chances are that…

Just like, how a carpenter uses many tools to build a chair, the Data Scientist’s tools are different machine learning models that contribute to build solutions for an analytical problem. There are many algorithms developed by research scientists over the years, such as linear regression, logistic regression, decision tree algorithms…