Get project assistant and solve your python assignments, quiz help, be Industry Ready on python programming language, and app development using python.

Find out more about Akash

• Tell us more about your subject. How did you develop an interest in this field?

  Python programming and machine learning has been my favourite subject since I have started learning it. I was always fascinated about the automated things. You can fulfill all your dreams using python and machine learning. It also has database connectivity so I learnt that too(SQL and MySQL). Do whatever you want in very few line of code and no time. You can use Arduino programming also for automating anything you want. This is how I developed the interest in the above points.

• What or who is the motivation behind you choosing to teach & why?

  When I was leaning there was always difficulty to find quality content on the internet. Also there was any platform for individual learner to help. Then I got to know about Superprof and I decided to teach here.

• How does your work help society?

  Teaching individuals always help to grow them. Students from all over the world comes on this platform requesting the classes. So its doesn't only help that individual to learn and grow but it also helps the society to grow because every individual is related to some society.

• If you had to think of a role model for your work, who do you think of & why?

  Role model for my work would always be myself. Because believe in me. Rather than This i love some work from the scientists like Einstein, Nikola Tesla, and Stephen Hawkins. Because of these guys I have developed interest in astro physics, particle physics and quantum physics. I would love to apply my machine Learning technology in these fields.

• Tell us about your hobbies outside teaching.

  I love gaming. Besides teaching I spend some time in gym and I also love playing cricket, watch movies (Sci-Fi), and cooking.

• Do you have an anecdote to tell us about your student or professional life?

  Most of the students when first hear about machine learning, they think that either we are going to learn the machines or we are going to teach machines like humans. Almost 80 percent of the students tend to think this way.