srimani-programmer / breast-cancer-predictor Goto Github PK
View Code? Open in Web Editor NEWA Flask based web application to predict breast cancer.
License: GNU General Public License v3.0
A Flask based web application to predict breast cancer.
License: GNU General Public License v3.0
I have made some grammatical edits to the README.md file. Kindly refer to PR #87
I would like to add a new feature to determine whether medical loan will be approved to the patients family. Using the dataset below.
https://www.kaggle.com/ninzaami/loan-predication?select=train_u6lujuX_CVtuZ9i+%281%29.csv
I am a GSSOC'21 participant
Update the README Appropriately with good looking changes and It should contain good description with newly developed Application. Don't change any existing README just remove the old application images with new application images and add the appropriate description.
Change the Application UI with good design at the PREDICT Button section.
I am a GSSoC 21 participant. I can contribute to the project by creating an XGBoost model for the Breast Cancer Prediction problem.
Kindly assign this work to me @manan-bedi2908 @srimani-programmer
DISCORD: diksha#6684
I will like to add the logo of the tech stacks used in this project this will make the read me file of our project more attractive !!
I am a GSSoC 21 participant. I can contribute to the project by creating an Exploratory Data Analysis including possible feature Engineering and plots for Breast Cancer Prediction dataset
Kindly assign this work to me @manan-bedi2908 @srimani-programmer
DISCORD: diksha#6684
Hey, @srimani-programmer I wanted to improve the documentation of this project. Adding some necessary changes, adding some icons, gifs, images to the documentation will make it look more appealing and easy to read for the newbies, wanted to contribute to this project.
We need to develop a website or a User Interface where we'll have information about Breast Cancer and a form for getting the inputs for prediction
But first, we need a beautiful navbar for the website
would like to add these templates to this repo as part of gssoc'21. Let me know .
Hi,
I am a GSSOC'21 participant and I want to work on adding visualizations for the numerical data.
I will use plotly to create interactive charts and write python scripts for the same so that it can be integrated with the application.
Thank you.
There is no autofocus and text can be written in the form, which would later give an error during later computations.
Features of the Website
Technologies Allowed
NOTE: No high-level frameworks like React, Angular, Vue are strictly not allowed.
Bonus Points: The One who develops the website with good features and responsiveness will get extra bonus points.
I am a GSSoC21 participant (DISCORD username: smoky237#5411 ), I can contribute to the project by stacking some of the best performing models together to improve the overall accuracy.
Kindly assign this work to me @manan-bedi2908 @srimani-programmer
Is anyone working on images to train a model to predict the cancer , i would like to train a model on image with Pytorch as a background framework. I would like to work on this task
PR template is an important feature of any repo. When we create a PR (Pull Request), PR template ask some conditions which are necessary to fullfill before submitting a PR. This is missing in this project.
I will be using the numerical data to train my model using SVM and KNN algorithms .
I would like to work on this under GSSOC21 @srimani-programmer can you please assign this to me
exploring other classification models like SVM , K-NN etc. and comparing accuracies.
would like to add contributing file to this repo as part of gssoc'21 @srimani-programmer
we can use a pretrained model insted of training everytime. machine learning models like random forest have size in kbs. it will be a fast method.
Can we use docker as an alternative way for the setup process?
Hello Sir/ Madam,
I was wondering if I could add Predict via Image to this Project. Use of Computer Vision would benefit for the accuracy as well as would ease a lot in predicting. We will just need to upload an Image and get the Results. Also as it would be an addon, the initial way (random forest) would also be available as well as Predict via Image would also be functional.
Later on we can also use meta data(which is asked in present scenario) with Images to help users get much better results.
Thanks
Hello, I want to work on a feature where breast cancer can be detected using various parameters as inputs.
Can you please assign this issue to me for GSSoC 21?
The project will consist of-
The accuracy of this model can be increased by using neural networks . This will increase efficiency of this project.
I have good experience in making a favicon,
can you assign me this issue under GSSoC'21?
Issue template is an important feature of any repo. When we create an Issue, Issue template ask some questions related to the issue being created so that other contributors can know what the issue is and how we can solve it . This is missing in this project.
Improving the accuracy of random forest for numerical data and CNN for Image data prediction as a part of GSSOC'21.
Instead of using Flask to serve the model in realtime @srimani-programmer , we can use something called Fast API. With that we can able to move our builded api to production ready easily.
I have raised this issue as a part of GSOC21
Use Models like XGBoost, LightGBM with Hyperparameter tuning.
I am a GSSOC'21 Participant.
Hello maintainers !!!
We can improve the readme with some images and stats.
If you feel so, then please assign this issue to me!!!
Just below the navbar, just add a designer banner containing the heading and an image
I would like to add a welcome bot that will greet all users who opens a issue , opens a pr and when pr gets merged
If you feel this is a great idea let me know
Kindly do assign me
For reference, kindly check out: https://github.com/apps/welcome
Features that we can add
We can have a footer with Get in touch section ... you have option to fill name, email and message which will go directly to the admin.
Like the screenshot i have attach ...
if you like the idea I would like to contribute as GSSOC'21 participant.
Hello, I am a GSSoC'21 participant and am experienced in deep neural networks.
The problem can be effectively solved by using a deep neural network for building the image classifier. I would like to work on this issue.
@srimani-programmer I would like to use various algorithms like
Sir, I want to make an web app using streamlit (as a beginner I'm not very good with flask)
to do the hyperparameters optimization of various Classification Algorithms :
like SVC, LogisticRegression, RandomForestClassifier and display the
classification metrics like confusion_matrix, roc_curve, precision_recall_curve.
I am a GSSOC'21 participant.
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