For the level 4 machine learning project, after I’m done should I just publish the code to GitHub or should I actually deploy the code and visualize it like you did with the level 4 tweet project or in react? My bad if this is a dumb question idk much about machine learning but I’m going to start
4:39 Machine Learning Predictions Project. 1. Get data -> Kaggle is a good place for that 2. Clean up the data -> numpy, pandas 3. Run data through Scikit learn library 4. Get Metrics on the data -> Accuracy, Precision, Recall
Great Video! I have a question though, aren't the projects scattered in terms of technologies? Like if you want to land an internship as a web dev shouldn't you focus on web projects instead of doing different stuff like machine learning and data science or should you do project in many fields to maximize internship oppurtunities?
for sure that can help you on a skills basis. But to be fair those technologies are generally easier to learn than ML/AI. So to make ur resume stand out imo these projects help a bit. But of course having web projects will prove you have the skills.
Great video! Do you have your predication project published on git hub by any chance and can you elaborate a bit more on how you made it, like what language did you use, etc. I feel like it’s a wonderful project but really don’t know where to start and although you explained it pretty well in this video, I hope u can elaborate a bit more.
I haven’t really gotten any internships yet, and I’m going into my junior year soon, is it a good idea to stay in college to get a masters and rack up internships or is that not really worth it? I’m genuinely a little concerned on my competition
it's nicer to have an internship than not. But extending your college to do that, you're going to have to see if you can afford those extra semesters/years and if that cost is worth it for you. Each case is different, but for most people it isn't worth it to spend that extra time. Rather I'd say look for low hanging fruit opportunities: projects, research opportunities at universities, or even unpaid internships (any experience you can get).
Just found your channel, enjoy your content. Keep it up man. Just a beginner learner here. Going to try out the beginners project in my free time.
sweet thank you
For the level 4 machine learning project, after I’m done should I just publish the code to GitHub or should I actually deploy the code and visualize it like you did with the level 4 tweet project or in react? My bad if this is a dumb question idk much about machine learning but I’m going to start
4:39 Machine Learning Predictions Project.
1. Get data -> Kaggle is a good place for that
2. Clean up the data -> numpy, pandas
3. Run data through Scikit learn library
4. Get Metrics on the data -> Accuracy, Precision, Recall
Very informative thanks man
Great Video! I have a question though, aren't the projects scattered in terms of technologies? Like if you want to land an internship as a web dev shouldn't you focus on web projects instead of doing different stuff like machine learning and data science or should you do project in many fields to maximize internship oppurtunities?
for sure that can help you on a skills basis. But to be fair those technologies are generally easier to learn than ML/AI. So to make ur resume stand out imo these projects help a bit. But of course having web projects will prove you have the skills.
Heavy on the Javascript. It's so helpful for so many projects and its definitely super applicable in a real job. Great Advice.
thank you! Yes I agree, super super helpful for software engineering.
Great video! Do you have your predication project published on git hub by any chance and can you elaborate a bit more on how you made it, like what language did you use, etc. I feel like it’s a wonderful project but really don’t know where to start and although you explained it pretty well in this video, I hope u can elaborate a bit more.
Great video! What programs do you use to create the animations in the video?
Wow I really enjoyed editing and camera quality this video, also as a freshman in uni I found this really insightful, you outdone yourself mashallah.
thank you so much!
This video really motivates me to build over the summer, Thanks!
So happy to hear! you got this!
I haven’t really gotten any internships yet, and I’m going into my junior year soon, is it a good idea to stay in college to get a masters and rack up internships or is that not really worth it? I’m genuinely a little concerned on my competition
it's nicer to have an internship than not. But extending your college to do that, you're going to have to see if you can afford those extra semesters/years and if that cost is worth it for you. Each case is different, but for most people it isn't worth it to spend that extra time. Rather I'd say look for low hanging fruit opportunities: projects, research opportunities at universities, or even unpaid internships (any experience you can get).
This really helpful thanks
Glad it helped :)
very cool animations
thank you!
How would azure be to learn instead of aws?