Transforming Careers Archive

Becoming a successful data scientist: All you need to know (Part 4)

For those of you who did not read the first few articles in this series, you can find them here (part 1, part 2, part 3). This week, I will take the enterprise point of view to

Becoming a Successful Data Scientist: All You Need to Know (Part 3)

If you have missed out on the start of this insightful series you can click here. For those of you who missed out on our article on how to become a data scientist in this series, you

Becoming a Successful Data Scientist: All You Need to Know (Part 2)

For those of you who did not read the first article in this series, you can find it here. We expect no technical background to understand these articles.  However, these are mostly useful for those who have

Becoming a Successful Data Scientist: All You Need to Know

In this sequence of articles, we will find answers to the following questions.   What is data science? How old is it? How do I figure out how to become a good data scientist (hint:  you need not

Web Scraping using Selenium

What is Web Scraping? Web Scraping is a popular methodology to extract data from websites. This is often done to derive insights for Sentiment Analysis, Predicting User preferences, Cross-Selling products, etc. Some of the real-life examples of

Outlier Detection in High Dimensional Data using ABOD

We know what outliers are – the data points which lie outside of where most of our data lies. When dealing with Outliers, it is relatively straightforward to find outliers in a uni-dimensional setting where we could

All the Numbers Behind the Decision Tree

In this article, we are going to see various numbers which we get as output after we implement a decision tree. Prerequisite Before you can start reading this blog we expect you to have these prior understanding

Healthy Healthcare Industry – AI Made It True

Diagnosis of health conditions to treatment, managing the patient’s health record to patient engagement and adherence… today, Artificial Intelligence (AI) is involved at every point in the healthcare industry. AI is re-connecting the modern world with advanced

Outlier Detection in Time Series

Anomalies a.k.a Outliers are patterns in data which do not conform to the data points near to it.  Statistically, they are the data points that are deemed to belong to a different population. Timely detection of anomaly

Multi-Label Classification

Classification has been a go-to approach for various problems for many years now. However, with problems becoming more and more specific a simple classification model can’t be the solution for all of them. Rather than having one