Open Nndna9 opened 1 week ago
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! š
hi @Nndna9 , please assign this issue to me with an appropriate level tag
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 this the main aim of this is to help beginners understand different EDAs.
Thank you
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 this the main aim of this is to help beginners understand different EDAs.
Thank you
Cool I understand the analysis part. Is there any involvement of deep learning models in this project?
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 model .
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 model .
Analysis part is okay. But as this project repository demands deep learning models, you need to focus on deep learning methods.
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Online Food Delivery Preferences :red_circle: Aim : Finding factors which are contributing to the demand of food delivery in the city. :red_circle: Dataset : []https://www.kaggle.com/datasets/benroshan/online-food-delivery-preferencesbangalore-region?resource=download :red_circle: Approach : Exploratory data analysis and implementation of 5 models.
š Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing š
All the best. Enjoy your open source journey ahead. š