The success of our students in their careers is what matters the most to us and when our students land their dream job, their success becomes our success. One amongst many such moments came when our student Sashikant Dwivedi got his dream analytics job at TCS as a Sr. Analyst (Risk Analytics-Mortgage) and sent us […]
Manjul Nikumbh was at a career cross-roads having worked for 3.5 years as an Assistant Professor. He was itching to move from academia into industry but wasn’t able to convince recruiters who were looking for industry experience. Read on to see how Edvancer helped him make the shift: My background I’m Manjul Nikumbh and I’m […]
My background I have over 9+ years of experience in internal audit and as finance analyst. I have worked previously in financial services, IT hardware& software and Telecom with companies like HP, Protiviti and Capgemini. In terms of my academics, I have a B.Sc. degree from Loyola College and Masters in International Business from Grenoble […]
Inferential statistics help us to infer unknown properties or behaviour of a larger population by studying a representative sample, using various statistical testing procedures. For example, studying the effects of a new treatment over a small group of people to test if it performs better or worse than the standard treatment, or inferring ratings of […]
Job search is a tedious process involving going through numerous job pages and lengthy job descriptions and summaries. In this article, I will try to make this process a bit easier for you using Python’s Beautiful Soup and Word cloud library. We will extract information like job title, company name, location, job summary and description. […]
AI has become an integral part of our daily lives. It’s in our cars, telling us when it’s time for the engine to be serviced based on our driving patterns; it’s in our everyday Google searches and the suggestions from Amazon that follow us around on the web; it’s the chatbot on the end of […]
So far, we have explored the data using various descriptive statistics techniques and also dealt with missing values and outliers. It may seem that we are done with all the data pre-processing and preparation, and ready to apply one of the ML algorithms. Unfortunately, we are still far from simply applying any ML algorithm. Wondering […]
Jupyter notebook is an interactive web-based application used for capturing the whole computation process – developing, documenting, and executing code. Jupyter notebook is a part of the larger Jupyter project that also includes jupyter hub and jupyter lab. Jupyter notebook supports kernels in many languages like python, pyspark, R, Julia among a few. Jupyter notebooks […]
Well, there is no straightforward and sure shot answer to this question. The answer depends on many factors like the problem statement and the kind of output you want, type and size of the data, the available computational time, number of features and observations in the data, to name a few. Here are some important […]
In the last blog, we discussed the importance of the data cleaning process in a data science project and ways of cleaning the data to convert a raw dataset into a useable form. Here, we are going to talk about how to identify and treat the missing values in the data step by step. Real-world […]
