Comments (21)
@SakshiRathi77 Do you want to be assigned?
from ml-project-drug-review-dataset.
I want you to work on the Streamlit GUI part as you mentioned and provide every functionalities and visualisations for user as well as developer.
You can leave the speed and accuracy part for now and focus on GUI.
Assigning you @SakshiRathi77 Proceed
from ml-project-drug-review-dataset.
Hi, I would like to contribute. Please assign the task to me.
from ml-project-drug-review-dataset.
i have created this issue to ask the mentor to assign me. You have to create your own issue
from ml-project-drug-review-dataset.
@ArunMaramraj Assigning you, Proceed
from ml-project-drug-review-dataset.
Thank You! May i know the deadline for completion of the said issue?
from ml-project-drug-review-dataset.
@ArunMaramraj Update of your work pls
from ml-project-drug-review-dataset.
Hello @Rakesh9100, Sakshi Rathi here.
I am ML enthusiast and exploring this domain. I would like to contribute to enhancing the speed and accuracy by adding another encoding to categorical values, normalizing, handling missing values in other ways and then providing GUI as streamlit code for the user as well as the developer.
Where the developer will be able to see charts, data visualizations, and all working functions, and at the user tab it will directly give prediction using our models with data abstraction.
from ml-project-drug-review-dataset.
@tushtithakur Would you like to be assigned?
from ml-project-drug-review-dataset.
@Rakesh9100 Sure..I would like to contribute
from ml-project-drug-review-dataset.
Pls describe in brief what will you do in this issue @tushtithakur
from ml-project-drug-review-dataset.
@Rakesh9100 Hi, I would initially split the data into 70% training and 30% test dataset. Then, I would perform data cleaning and optimize memory usage by utilizing pandas' astype function and sparse data structures. Evaluating the decode_html function's performance and exploring alternative strategies for missing value handling can improve efficiency. Additionally, exploring alternative feature encoding methods and implementing regularization techniques would enhance model performance and address overfitting. Accuracy and evaluation of the model would be conducted throughout the process.
from ml-project-drug-review-dataset.
Assigned you issue 11. Pls work on that @tushtithakur
from ml-project-drug-review-dataset.
@SakshiRathi77 Do you want to be assigned?
Yes
from ml-project-drug-review-dataset.
Can you pls once brief the work you will do @SakshiRathi77
from ml-project-drug-review-dataset.
AS i mentioned in above, with methods they have shared and streamlit for interface.
from ml-project-drug-review-dataset.
I would like to work on this issue.
I have gone through the code base.✅
I understand the issue. ✅
from ml-project-drug-review-dataset.
Are you working? @SakshiRathi77
from ml-project-drug-review-dataset.
@jahnvisahni31 Do you want to work?
from ml-project-drug-review-dataset.
Yeah suree
from ml-project-drug-review-dataset.
👋 @ArunMaramraj This issue is closed. Thank You!!
from ml-project-drug-review-dataset.
Related Issues (20)
- 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
- Fix some import issues HOT 7
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ml-project-drug-review-dataset.