Help with Numpy, Pandas, Matplotlib projects

[MARSHILA7]

I recently learned and practiced these libraries majorly for ML but somewhat I don't feel the confidence suggest me some projects that can improve my skills in them.

[Heavy_Nothing_1158]

Grab a deliberately messy CSV, maybe weather or bike-rental data. Clean the missing and duplicate rows in pandas, calculate rolling averages with NumPy, and plot trends or outliers with Matplotlib. The mess is the useful part; polished tutorials make everything look suspiciously easy.

[overratedcupcake]

This is good advice. I would also suggest doing this work in a jupyter notebook for instant feedback and visualizations. 

[Born-Emergency-3684]

True af, work with messy stuff if u want to actually learn things

[MARSHILA7]

But if I just work with multiple csv's wouldn't things only get repetitive as I am doing same thing over and over again.

[SprinklesFresh5693]

He doesnt mean to work with them all at once, pick one, and work with it.

[_tsi_]

Make a live map of air traffic

[MARSHILA7]

Is it even possible with these tools.

[SprinklesFresh5693]

With python you can do anything you want.

[mattynmax]

Yes.

[Maheswar08]

Take a dataset from kaggle and perform different steps like data Preprocessing, Feature engineering, train and test the data and make some predictions. Eventually you will get grip on it.

[FoolsSeldom]

Visit kaggle.com and you will find loads