Open hemant933 opened 5 months ago
Mention the dataset, approach over here. @hemant933
i want to work on the issue but i didn't work with any machine learning project before can you please give me some resources so that i can solve this issue?
Harsh Raj Git Hub: https://github.com//HarshRaj29004 ID: NA Participant of Ssoc season 3 Can you please assign this task to me? @hemant933
Name : Mitul Agarwal Discord server name : Kaze GitHub : https://github.com/useroutofbound ID : NA
Approach : I'll download dataset from hate-speech-twitter and kaggle , and then build a classification model using various vectorization techniques like tf-idf , CountVectorizor etc and use classical models like logistic regression , svm and ensemble based models and also neural networks for training . Also provide a table showing other predictive scores on both train and test data . And will also try to implement large language models like bert and mistral , if time permits .
SSOC Participant
Need to implement classical models such as,
Along with these models you should implement tf-idf and CountVectorizer for this dataset.
Assigning this issue to you @useroutofbound
ML-Crate Repository (Proposing new issue)
:red_circle: Profinity filter : :red_circle: Aim is to classify whether the used text is abusive or not : :red_circle: Dataset : :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.
π 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 π
All the best. Enjoy your open source journey ahead. π