DataPrep Library- Perform Faster EDA Within No Time

DataPrep.EDA is the fastest and the easiest EDA (Exploratory Data Analysis) tool in Python. It allows you to understand a Pandas/Dask DataFrame with a few lines of code in seconds.
You can create a beautiful profile report from a Pandas/Dask DataFrame with the create_report function. DataPrep.EDA has the following advantages compared to other tools:
DataPrep.EDA is 10-100X faster than Pandas-based profiling tools due to its highly optimized Dask-based computing module.
DataPrep.EDA generates interactive visualizations in a report, which makes the report look more appealing to end users.
DataPrep.EDA naturally supports big data stored in a Dask cluster by accepting a Dask dataframe as input.
EDA Playlist:
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[baishalinisahu]

Hi Krish, i am Baishali, started my career with HR Recruiter But following your videos today i become a data scientist in my current company where i was working in HR field. You can make super 1000 like super 30 movie. A perfect and excellent trainer who changes my career path with AI ML. Thanks a lot Krish Sir.

[suneethach]

Excellent work Krish. Thank you so much for sharing 👍.

[brownmunde]

Wow amazing library. We would love more such information 👍

[subhamsaha]

I have one question from where you get to know about any upcoming new libraries? This library works for only titanic and we can load any

[ShahZ]

@Krish can I use my own datasets instead of pre-loaded datasets from dataprep. If so, can you share the syntax or an example. Thanks.

[sangrammishra]

Thank you sir you are always awesome..

[mayurpardeshi]

It is necessary that I should do EDA part manually or I can just use automatic EDA libraries.

[elyaabbas]

Hello Krish first of all thanks for best contents. we are looking forward for Hugging Face library (NLP ) and it uses..

[mariazach]

Sir, while selescting x and y in machine learning, we use x.values and y.values but in some cases we wont use that. Can you please tell the reason for that.. Or else please make a video. Its a request from beginners

[niranjannag]

Can we use this on Lending Club Case Study

[mayankpathak]

Hello Krish sir. Could you please tell me how many classes have there been for ML+ DL course or INueron? I would like to join it. May I know if I can't still join it? Would I miss anything? Am I late for it? Looking forward for your reply. Thanks.

[ayushtiwari]

we can do the same task using pandas profiling.

[satyendrajain]

array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible size.What shoold i do

[MapasInteractivosDO]

But only working with Titanic dataset
?

[suryaphani]

Hello krish, The code is not executing on jupyternotebook sir

[jnwang]

Thank you so much, Krish! Your video is always inspiring and helpful. We recently released DataPrep 0.3 with significant updates on the speed and the functionalities of the EDA module. Would you like to give it a try? We are happy to provide any materials you need. :)