I have been coding in Python, on and off, for two years now. Yet every time I am about to start a new project, I look for those quick recap videos on YouTube. But none seems to cater my explicit requirements, thus after a long overhaul, I came up with my version of a Python notebook that covers the topics relevant to the analytics domain.

Machine Learning is just a fancy term for Statistics. And to get through ML, one needs a good understanding of Linear Algebra, Calculus and Probability Theory. Thus, I have composed a quick lookup for all the mathematical concepts taught to me in my first two semester of MS.

While people are busy learning about the much hyped Python and R programming languages, they often neglect the basic querying concepts. And without a database, Data Science seems quite meaningless.