Data Science is one of the hottest fields of the 21st century. It is in high demand across the globe with bigwigs like Amazon, Google, Microsoft paying handsome salaries and perks to data scientists. This course provides you with a great kick-start in your data science journey by starting with Python Basics, Data Visualization, Data Scraping, Building Web Scrappers using Scrapy, Data Cleaning and applying various machine learning algorithms like Linear Regression, Logistic Regression, Decision Trees, Naive Bayes, Principal Component Analysis, Feature Engineering, T-SNE Visualizations, Deep Learning & Reinforcement Learning for video games. The complete course is very practical and makes sure you do sufficient hands-on practice on the concepts taught by solving assignments and challenges.
Bonus - Reinforcement Learning for Video Games
There are no pre-requisites to join the course. Familiarity and ability to write code in any programming language is a must.
After completing this course, you can apply for the following roles -
Anuj is an open-source enthusiast and a GSoC mentor and admin under the RedHat Foundation. He has worked in the core teams of various products by RedHat and is an expert in Enterprise Java and web services. He is also administrating in GSoC'19 under the umbrella of JBoss for Servers and IoT monitoring.
Currently doing his Masters in Machine Learning from IIT Delhi, Prateek is an ace programmer who has worked with SanDisk and HackerEarth in the past. He has also won prestigious hackathons including Google’s Code For India and Smart City Hackathon. A Computer Science Graduate from DTU, he is highly popular among students for his teaching methods. His interactive CV (www.prateeknarang.com) is also well known in 120+ countries.