I have complete the course and I am now looking for some projects that will help me utilize all that I have learnt (and forgot). I want to practice a lot so that I don’t forget what I have learnt. Can you please suggest any specific projects to work on?
Regards,
Ravi
There are real world applications where you can apply your learnings - it comes down to problems you’re interested in, data availability and compute availability. For example, I briefly worked on exoplanet detection using data collected from Kepler telescope. Alternatively, if you don’t have a problem in mind and want to explore options, you can look at publicly available datasets published by others - Eg: CIFAR-100, Fashion MNIST, Kaggle datasets, etc. Alternatively, if you’re not interested in any problem but are interested in competing against others over a common problem, you can work on a Kaggle competition. There’s no lack of ways to practice and sharpen your skills.
1 Like
I agree with @SNaveenMathew. A great way to push yourself to apply what you have learned through projects is to work on something you are interested in. Kaggle datasets and competitions are great resources, as the above answer also said.
1 Like
There’s a data resource I don’t see recommended often enough. The US government puts out datasets at data.gov. Some interesting stuff there.
3 Likes
Other than Kaggle’s projects archive, another good source of free datasets is the “UCI Machine Learning Repository”.
2 Likes
First of all, I want to thank you all for your eagerness to help someone who has come from completely different domain, struggled and worked hard with statistics, mathematics and motivated by the great Andrew Ng. I want to bring change to my life, but I am a kind of person who is good at following pointed instructions at the outset. If I may be allowed to ask you all brilliant minds to suggest me:
- One project for multiple linear regression and 2. One project for classification (logistic regression). It will be greatly helpful for me as I plan to work on them with your help through this excellent forum.
I am expecting some ampathy from you in kickstarting my career. I just need your kick, once my engine starts, I will be doing the same for all the new comers.
regards,
Ravi Verma
The pages includes links to reference solutions.
Linear regression with multiple features:
Classification:
1 Like
Can you kindly check and advice me on what I did. It is my first attempt after completing the Machine learning specialization course. I will be grateful if you can explain we needs to be done and where I should focus more.
regards,
Ravi
carprice.ipynb (220.3 KB)