Abhishek Sharma

Closing this issue as duplicate entry.

> @abhisheks008 , 👋 Hey bro can you please assign me this issue under GSSoC'24 with an appropriate level tag What are the models you are planning for this problem...

> @abhisheks008 I'm planning to use Gradient Boosting Machines (GBM) > > For tabular data like the one in this malware prediction challenge, tree-based ensemble methods (XGBoost, LightGBM, CatBoost) are...

> @abhisheks008 ok i can build CNN model plz assign it to me Can you brief more on the planned the models? Only CNN will not work here as you...

> @abhisheks008, I can start working on it, after making sure you approve my solution for the Micromobility-Lane-Recognition Issue > > Full name: Basma Mahmoud GitHub Profile Link: Basma2423 Email...

What is the parameter you are planning to predict here? Can you elaborate more on your approach.

> Here using the data we're trying to different EDAs along with Geospatial and Time factor Analysis. As this is my first open source contribution I'd like to start with...

> Actually, I was planning to do only the EDA, but now I'll use Logistic Regression model Decision Tree model Random Forest Classifier model kNN Classifier model Naive Bayes Classifier...

Assigning this issue to you @Pratzybha

CIFAR 10 is huge dataset. Can you specify which genre of images you are planning to use here?