Closed Pratzybha closed 3 weeks ago
Our team will soon review your PR. Thanks @Pratzybha :)
@abhisheks008 I tried to re-fork and upload it again. It shows same issue. I removed few files and tried to upload, yet there's some issue.
@abhisheks008 can you let me know how can i solve this issue? I went through few videos but I'm lost.
Pull Request for DL-Simplified π‘
Issue Title : Online Food Delivery Preferences
Closes: #793
Describe the add-ons or changes you've made π
1) Data Preprocessing: -Removed missing and irrelevant data (e.g., 'Nil' reviews). -Tokenized reviews and converted them into sequences suitable for deep learning models.
2) Exploratory Data Analysis (EDA): -Analyzed the distribution of customer demographics such as age, income, family size etc. -Created visualizations like bar charts and word clouds for reviews to understand sentiment polarity.
3) Model Implementation for Prediction: -Built CNN, RNN, and RNN+LSTM models to predict customer reordering behavior. -Experimented with different architectures to capture patterns in structured data.
4) Model Implementation for Sentiment Analysis: -Developed DNN, LSTM, and GRU models for customer review analysis. -These models were optimized to handle varying text lengths and interpret user sentiment effectively.
5) Evaluation and Comparison: -Compared models using accuracy, precision, recall, and F1-score. -Identified the most accurate models for each task.
Type of change βοΈ
What sort of change have you made:
How Has This Been Tested? βοΈ
-Compared models using accuracy, precision, recall, and F1-score. -Identified the most accurate models for each task.
Checklist: βοΈ