I am a naive coder - I started coding in 1992 with Logo, Basic and then C/C++ until 2002. I started with Python last year and have enjoyed solving mathematical problems on Project Euler.<p>Now, I am building a minor element of credit risk assessment of any borrower by analysing their bank statements. I aim to predict default behaviour of any borrower so that FIs could spend more time on decision-making by improving their turn-around-time in reading hundreds of lines of financial statements. For this, I started learning from Berkeley's Data 8.x<p>Now I plan to switch to fast.ai and hence want to know if there is anything that I need to take care of. I won't have any problem in picking up linear algebra because I did enjoy Maths in high-school and engineering.