Data Science Tutorial Resume Ranking using NLP

Various surveys reveal that job postings receive an average of 250 applications, so this kind of resume screening manually turns out to be a daunting task. In our data science certification and project-based training we will be teach text mining using Natural Language processing Toolkit, data analysis, NumPy, Pandas, scikit-learn seemed to be the solution to getting the important data without reading every resume. Using Python NLP toolkit can ease HR jobs in filtering resume with certain surrounding words, patterns, range, and based sentence constructions. You will be learning what is data science, the necessity of data science, reasons why to learn python, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing In this video tutorial we have made those for our learners and new data science aspirants.
If I am a good python developer and the company hires me and they are making me work on Java, my python skills are useless. And on the other hand, if there is a vacant place in a company so according to the owner of the company, he/she will prefer a best possible candidate for that vacancy. So, our system will act as a handshake between these two entities. The company who prefers the best possible candidate and the candidate who prefers the best possible job according to his or her skills and ability.Going through candidates resume takes a lot of time, especially when you are dealing with hundreds of openings with multiple candidates for each opening.
The topics for today's video are How to analyze a candidate profile by using NLP toolkit from python and we will be taking an example custom regular expression? Please watch our video tutorial, like our video and subscribe our channel for more live updates or if you have any specific requirement you can reach us visit BISP Trainings or call +91 769-409-5404 or +1 386-279-6856.