Comments (4)
SohamD242
commented on July 20, 2024
Hi,
I'm Soham Deshpande (Contributor GSSOC'23)
Many websites doesn't offer API so to tackle this we can use Web Scraping to access data in easy and structured manner.
Python libraries like bs4, BeautifulSoup, Scrapy, Selenium etc. are generally used for web scraping.
Here I'm willing to apply these libraries and use an effective way of Multiprocessing to speed up Web Scrapping.
Multiprocessing is very helpful, when multiple URLs are scraped to get the data. It will perform scraping on multiple URLs thus saving our time.
from ml-project-drug-review-dataset.
Rakesh9100
commented on July 20, 2024
@Ashgen12 Okay assigning you, proceed
from ml-project-drug-review-dataset.
Rakesh9100
commented on July 20, 2024
@Ashgen12 Update of your work
from ml-project-drug-review-dataset.
Ashgen12
commented on July 20, 2024
@Rakesh9100 yeah i had updated the work, i had pulled the code for updation of web scraping, here is the link :-
#62
from ml-project-drug-review-dataset.
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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