Comments (21)
Assigning, proceed @SanjanaMahesh3
from ml-project-drug-review-dataset.
@SanjanaMahesh3 Update of your work
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Please assign me this task @Rakesh9100 under gssoc 23.
from ml-project-drug-review-dataset.
@Rakesh9100 I have tried CNN and ANN it's accuracy currently is around 30%. I am trying better feature extractors to improve accuracy
from ml-project-drug-review-dataset.
If it is not better I can implement RCNN or Graph based networks too
from ml-project-drug-review-dataset.
Okay proceed and give a try @SanjanaMahesh3
from ml-project-drug-review-dataset.
Please assign me this task, I would implement deep learning algorithms to improve the accuracy
from ml-project-drug-review-dataset.
Update pls @SanjanaMahesh3
Pls specify the names of the algorithms you will implement @SRINIVAS-2003
from ml-project-drug-review-dataset.
I want to implement ANN, AdaBoost algorithms. Some of the major algorithms were already implemented,
so I want to give a try to implement the above deep-learning algorithms.
from ml-project-drug-review-dataset.
Proceed @SRINIVAS-2003
from ml-project-drug-review-dataset.
Update of your work @SRINIVAS-2003
from ml-project-drug-review-dataset.
Yeah sure @Rakesh9100 .
I have implemented Ann and Adaboost algorithms and obtained some of the performance metrics like accuracy, R2 score , mean square error.
Accuracy obtained is 13% near or less for both the algorithms.
Now I'm trying to plot the graphs of predictes Vs testing and training data values for the above two algorithms.
from ml-project-drug-review-dataset.
Okay @SRINIVAS-2003
from ml-project-drug-review-dataset.
@Rakesh9100
Can I update the code for the above algorithms I implemented in the main.py file
Accuracies for ANN is 31% and AdaBoost id 13% , yesterday I confused as both are same digits( 31 and 13 not seen properly) so I said 13% for both the algorithms.
Sorry for the inconvenience @Rakesh9100 .
from ml-project-drug-review-dataset.
Yes, you can update your code by raising a PR and can also plot the graphs of the accuracy predictions of the models.
Make sure to pull the latest code changes to avoid merge conflicts @SRINIVAS-2003
from ml-project-drug-review-dataset.
Yeah sure @Rakesh9100, I will implement accuracy plot also.
from ml-project-drug-review-dataset.
@Rakesh9100 I have committed some changes in the main file. After clicking on commit changes it asked to create pull request,I have created a pull request for updation for main.py file.
Am I proceeding in right process?
I don't have that much touch with the GitHub , so I'm having doubt.
Please kindly help me so that I'll able to handle it.
from ml-project-drug-review-dataset.
I am here to help you out, don't worry.
You are proceeding in a ryt way, pls check the comment on your PR @SRINIVAS-2003
from ml-project-drug-review-dataset.
Thank you very much for helping me @Rakesh9100 .
I have raised PR using the template which u have provided.
from ml-project-drug-review-dataset.
@Rakesh9100 is the previous commit accepted without any problem?
I have done linting also successfully.
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Related Issues (20)
- Integrating the project with a website using Flask, HTML, and CSS to showcase accurate results, visually appealing graphs, and plots.[Issue title here] HOT 4
- Improve accuracy using ensemble learning HOT 13
- Add Embedding layers with LSTM, GRU and Convo1D HOT 7
- Add Scatter matrix for testing data HOT 3
- Implement PyCaret Regression for Model Comparison HOT 5
- Add Sentiment Analysis using Deep Learning HOT 6
- Modify file with comments HOT 3
- Add Logging module for storing the logs HOT 12
- Add bar graph and line graphs HOT 3
- Add Sarima model HOT 9
- Add Contribution.md file HOT 4
- Update results screenshots in Readme file HOT 7
- Implement proper visualizations to understand the dataset better HOT 4
- Implement Hyperparameter tuning HOT 2
- Add models HOT 3
- Add some information about the project HOT 2
- Readme file update HOT 3
- Add a new project Online voting system HOT 2
- Add Code of conduct HOT 4
- Add Contributor page in the website HOT 3
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