Auto ML Data Visualizer

we have 4 apps, 1 flask code, 1 main.py and auto files

apps:

1. app.py - supervised learning
2. app2.py - unsupervised learning
3. app3.py - NLP task by BERT
4. app4.py - ANN

flask code:

1. It is try2.py file it has the content for the running of the LLM Analysis.

to run : python try2.py

Main.py:

It is the main file that will run the Helix AI integration and all the apps together. At first we have to signup and then login to the Helix AI and then we can use the apps.

to run : streamlit run main.py

Auto files:

1. Auto_gen : genetic algorithm code for the feature selection
2. Auto_reg : regression code for the feature selection
3. Auto_classfy : classification code for the feature selection
4. Auto_cluster : clustering code for the feature selection
5. Auto_Neural_Network : Neural Network code for the feature selection.