Medical Diagnosis ML

[ManasiGDeshmukh]

Get a appropriate dataset from kaggle or other sources and build a ML model for Medical Diagnosis (eg. Cancer, Alzheimer, diabetes, etc.)

Approach : Try to use 2-3 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

Guidelines to be followed

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
• Images - To store the required images.
• Dataset - To store the dataset or, information/source about the dataset.
• Model - To store the machine learning model you've created using the dataset.
• requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

Happy Contributing

[sakshimohanani]

Hii ! please assign me this issue Sakshi Mohanani UEC2021233 TY

[ManasiGDeshmukh]

@sakshimohanani I have assigned this issue to you. Do create a PR within 2days by tagging this issue. Happy Contributing !!

[Anish2802]

@ManasiGDeshmukh can you please assign me this work

[ManasiGDeshmukh]

@sakshimohanani what's the status of your work? if you are not working on it please let us know

[sakshimohanani]

@ManasiGDeshmukh I am working on it . Some of the things are done

[ManasiGDeshmukh]

@sakshimohanani please create a pull request today, otherwise i will have to unassign this issue. We wish to give everyone equal opportunity .