Github Link for access to codes and a reflection on this module
This is the GitHub link to all the codes I practised during the course of this module.
https://github.com/jayeetaroy/ML_practice\
This was a very intense few weeks. Learning about ML requires a steep learning curve. I am not happy though about not finishing the whole Udemy by the end of this module. I will have to take it up later after I finish up with the third module. But I still am pleased with my progress. This was especially rough because of sudden interviews popping up at any time and then I would have to drop this for a while until I got done with that.
What I did take away from this experience after my last module, is that studying something so intensive using MOOCs requires a lot of patience and perseverance. I realised that any given day I would prefer a classroom setting to learn new subjects over an online course. There are some many nuances to a classroom setting, that you don't find here. Many times in a classroom, you would just ask the professor a half-baked question because a lot of the time even you are not sure of what exactly are you confused about. But it is the brilliance of our professors, who can still catch the exact point that you did not understand and give you the answer instantly. This also makes understanding the rest of the class easier. The same freedom is not available online. Sure there are discussion forums, taking the example of the support vector problem I was stuck on, it took a lot of days and random google searching for me to be able to identify my problem and to find the answer to it.
It was an interesting learning experience and it also taught me how I need to improve my listening skills. Keeping focus in the classroom is also easier than in these videos because I did find myself zoning out way more often than I would like. I will try to work on these issues in my next module.
https://github.com/jayeetaroy/ML_practice\
This was a very intense few weeks. Learning about ML requires a steep learning curve. I am not happy though about not finishing the whole Udemy by the end of this module. I will have to take it up later after I finish up with the third module. But I still am pleased with my progress. This was especially rough because of sudden interviews popping up at any time and then I would have to drop this for a while until I got done with that.
What I did take away from this experience after my last module, is that studying something so intensive using MOOCs requires a lot of patience and perseverance. I realised that any given day I would prefer a classroom setting to learn new subjects over an online course. There are some many nuances to a classroom setting, that you don't find here. Many times in a classroom, you would just ask the professor a half-baked question because a lot of the time even you are not sure of what exactly are you confused about. But it is the brilliance of our professors, who can still catch the exact point that you did not understand and give you the answer instantly. This also makes understanding the rest of the class easier. The same freedom is not available online. Sure there are discussion forums, taking the example of the support vector problem I was stuck on, it took a lot of days and random google searching for me to be able to identify my problem and to find the answer to it.
It was an interesting learning experience and it also taught me how I need to improve my listening skills. Keeping focus in the classroom is also easier than in these videos because I did find myself zoning out way more often than I would like. I will try to work on these issues in my next module.
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