Closed abhisheks008 closed 2 years ago
SNEGA S https://github.com/snega16 Approach - Creating ML models after data analysis and EDA. Are you a participant of JWOC? YES
Implement 3-4 ML algorithms and compare them to find out the best fitted algorithm for this project. Issue assigned to you @snega16
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Advertisement Click Prediction :red_circle: Aim : Predict the clicks on the advertisement depending on different attributes and user inputs of the dataset. :red_circle: Dataset : https://www.kaggle.com/jahnveenarang/cvdcvd-vd :red_circle: Approach : Try to use 3-4 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.
Hello, ML-Crate contributors, this issue is only for the contribution purposes and allocated only to the participants of SWOC 2.0 Open Source Program.
📍 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 🚀
All the best. Enjoy your open source journey ahead. 😎