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the-grand-complete-data-science-materials's Introduction

The Grand Complete Data Science Guide With Videos And Materials

1. Complete Python Playlist For Data Analytics And Data Science

2. Complete Stats Playlist For Data Analytics And Data Science

3. Complete SQL For Data Analytics And Data Science

4. Git And Github Tutorials

5. EDA And Feature Engineering And Feature Selection

6. Machine Learning Playlist

7. Complete Deep Learning And NLP Playlist:

8. Important Frameworks for Production Deployments

9. Complete AWS Sagemaker And Sagemaker Studio Tools

10. Complete MLOPS tutorials

11. End To End ML,DL and NLP Projects- Entire Lifecycle Till Deployment Using Open Source Tools

12. Generative AI And Open AI Playlist:

13. Pyspark Complete Tutorials

14. Complete Data Science,Machine Learning And Deep Learning Interview Questions

https://github.com/iNeuronai/interview-question-data-science-

Internships

https://internship.ineuron.ai/

Data Science TrackerSheet For Learning

https://drive.google.com/file/d/18doA_wMja2nAawcE6imIcfnEMf-Pir2n/view

Youtube Channels For Referring All Videos. Consider Subscribing and pressing the bell icon.

Join Our Data Science Project Neuron

https://ineuron.ai/one-neuron/Data-science-Projects-Neuron?source=one_neuron_listing

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the-grand-complete-data-science-materials's Issues

Remove venv directory from repository

Hi @krishnaik06 ,

I hope this message finds you well.
I'm writing to follow up on my previous pull request #36 to remove the venv directory from the repository. I noticed that the venv directory is still included in the repository, and I wanted to kindly request that you review and merge my pull request at your earliest convenience.

The venv directory, which contains Python-specific dependencies, should not be tracked by Git. Including this directory can cause several issues, including increased repository size and conflicts when cloning or pulling the repository.

Removing the venv directory will ensure that the repository is as clean and user-friendly as possible for everyone to use.

Thank you for your time and consideration.

Error in opening the Statistics PDFs

In the 'Complete Statistics' folder, the files named "stat1.pdf","stat2.pdf","stat3.pdf","stat5.pdf" show an error saying 'Invalid PDF' thereby making them inaccessible.
Probably requires a re-upload.
Screenshot 2023-12-26 at 1 32 47 AM

Not Visible "Walmart-SalesBot-and-SearchGPT project"

Hi Krish,
I have added Walmart Salesbot and SearchGPT project in ML Project repository and you have merged with your own repo. But it seems it doesn't work. Don't know what happened. If I click on the project it redirect to an error page.
Walmart-SalesBot-and-SearchGPT project
image
image

Kindly check at your convenient time and let me know if I have to do anything else from my end.

Thank you Krish for your time and this great initiative.

Potential performance issue: Unreliable performance of .loc below pandas 2.1

Issue Description:

Hello.
I have discovered a performance degradation in the .loc function of pandas version below 2.1 when .loc handling big DataFrame with non-unique indexes. When using pandas more than 4 indexes, .loc drastically increases to X1000 times. And I noticed that some parts of the repository depend on the pandas version below 2.1. For example, ML Projects/NLP_WebAPP_Twitter_Sentiment_Analysis_knowledge_graph/venv/Lib/site-packages/pandas/_version.py depends on pandas 2.0.0, ML Projects/Multi Class News Classification Project/requirements.txt depends on pandas 2.0.3. I found that many files in ML Projects/NLP_WebAPP_Twitter_Sentiment_Analysis_knowledge_graph used the influenced api. There may be more files using the influenced api. I am not sure whether this performance problem in pandas will affect this repository. Here are some discussions on GitHub related to this issue, including #54550 and #54746.

Suggestion

I would recommend considering an upgrade to a different version of pandas >= 2.1 or exploring other solutions to optimize the performance of .loc .
Any other workarounds or solutions would be greatly appreciated.
Thank you!

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