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All Projects → milaan9 → 93_Python_Data_Analytics_Projects

milaan9 / 93_Python_Data_Analytics_Projects

Licence: MIT license
This repository contains all the data analytics projects that I've worked on in python.

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Jupyter Notebook
11667 projects

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data-sciencemachine-learningipython-notebookbreast-cancer-predictionmachine-learning-projectscovid-19-predictionpython4everybodypython4datasciencetutor-milaan9cervical-cancer-predictionpoker-hand-predictorstock-news-predictionenglish-french-tranlationresume-selectiondata-analytics-projects

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93_Python_Data_Analytics_Projects

This repository contains all the data analytics projects that I've worked on in python.

No. Name
01 001_Cervical_Cancer_Predection_with_ML
02 002_COVID19_Prediction_from_Chest_Xray_Images_with_CNN
03 003_Poker_Hand_Prediction
04 004_Resume_Selection_with_ML
05 005_Stock_News_Prediction_using_NLP_Tweets_Sentiment_Analysis
06 006_Eng_to_French_Translation_with_LSTM_NN
07 007_Breast_Cancer_Prediction_with_ML

These are read-only versions. However you can Run ▶ all the codes online by clicking here ➞ binder

Frequently asked questions ❔

How can I thank you for writing and sharing this tutorial? 🌷

You can Star Badge and Fork Badge Starring and Forking is free for you, but it tells me and other people that it was helpful and you like this tutorial.

Go here if you aren't here already and click ➞ ✰ Star and ⵖ Fork button in the top right corner. You will be asked to create a GitHub account if you don't already have one.

How can I read this tutorial without an Internet connection? GIF

  1. Go here and click the big green ➞ Code button in the top right of the page, then click ➞ Download ZIP.

    Download ZIP

  2. Extract the ZIP and open it. Unfortunately I don't have any more specific instructions because how exactly this is done depends on which operating system you run.

  3. Launch ipython notebook from the folder which contains the notebooks. Open each one of them

    Kernel > Restart & Clear Output

This will clear all the outputs and now you can understand each statement and learn interactively.

If you have git and you know how to use it, you can also clone the repository instead of downloading a zip and extracting it. An advantage with doing it this way is that you don't need to download the whole tutorial again to get the latest version of it, all you need to do is to pull with git and run ipython notebook again.

Authors ✍️

I'm Dr. Milaan Parmar and I have written this tutorial. If you think you can add/correct/edit and enhance this tutorial you are most welcome🙏

See github's contributors page for details.

If you have trouble with this tutorial please tell me about it by Create an issue on GitHub PNG and I'll make this tutorial better. This is probably the best choice if you had trouble following the tutorial, and something in it should be explained better. You will be asked to create a GitHub account if you don't already have one.

If you like this tutorial, please give it a ⭐ star.

Licence 📜

You may use this tutorial freely at your own risk. See LICENSE.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].