10 Ways to Build a Good Resume
Whether you have recently graduated or taking a break to upgrade your skills or making a career shift, you need to have the right resume to get the right job! Resume building is the crucial first step
Data Scientists Archive
Category Soft SkillsJune 24, 2021
Category Technical SkillsFebruary 5, 2021
Coding principles for rapid machine learning experimentation
According to François Chollet, the creator of Keras and Someone who at his best, placed 17th on Kaggle’s cumulative leaderboard: it is not about having the best idea(s) from the start but rather iterating over ideas often
Category Soft SkillsSeptember 25, 2020
What to expect after completing a Data Science Certification Program?
1 in 3 ads we see now, sell ‘Certification Courses’ that would transform careers. There is hardly any talk about what to expect once we complete an online certification program/course, especially to change one’s line of profession.
Category Technical SkillsJuly 22, 2020
How can I solve any question on finding the probability of an event in a job interview / written test? (Part 2)
Properties of probability i) 0 ≤ P(A) ≤ 1. ii) P(ɸ) = 0, P(S) = 1. iii) For any two events A and B, P(AUB) = P(A) + P(B) – P(A∩B), where AUB is read as ‘A
Category Technical SkillsApril 13, 2020
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
Category Technical SkillsMarch 18, 2020
Outlier Detection in High Dimensional Data using ABOD
We know what outliers are – the data points that lie outside of where most of our data lie. When dealing with Outliers, it is relatively straightforward to find outliers in a uni-dimensional setting where we could
Category Technical SkillsMarch 11, 2020
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
Category Technical SkillsMarch 4, 2020
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
Category Technical SkillsFebruary 14, 2020
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
Category Technical SkillsFebruary 11, 2020
How to use ELMo Embedding in Bidirectional LSTM model architecture?
Embeddings from Language Models (ELMo) ELMo embedding was developed by Allen Institute for AI, The paper “Deep contextualized word representations” was released in 2018. It is a state-of-the-art technique in the field of Text (NLP). It is