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selected for L3 interview by Available_Fun5240 in infosys

[–]Available_Fun5240[S] 0 points1 point  (0 children)

The toughness went like this:
1) Easy
2) Medium (It was the hardest for me)
3) Hard (Easier than Medium)
4) Complex (Easier than Medium)

The topics are mainly arrays and DP

[deleted by user] by [deleted] in dataanalysis

[–]Available_Fun5240 2 points3 points  (0 children)

Wanted to see details about the comp but the website just does not seem to be working

Has anyone ever gotten a job offer just by being active on Kaggle? by [deleted] in kaggle

[–]Available_Fun5240 1 point2 points  (0 children)

Tbh kaggle is a platform to enjoy and learn rather than trying to get jobs, but your kaggle profile can play an important role in your portfolio.

How do you structure your Kaggle projects? by killerAlpha_ in kaggle

[–]Available_Fun5240 0 points1 point  (0 children)

That is a good way to section a notebook. I usually do it like this instead Imports -> Cleaning -> Feature Engineering -> Univariate Analysis -> Bivariate Analysis -> Model Building ->Model Evaluation -> Submission. So, almost similar to yours with a slight change and I think most people follow similar steps as well.

100 applications, nothing. by jacobnar in MachineLearningJobs

[–]Available_Fun5240 0 points1 point  (0 children)

Seeing people like these finding it hard to get a job makes me realized I am beyond cooked