I have a Python Flask web application that allows the user to input a Twitter profile using the profile link or a tweet link. It then uses a trained machine learning model to determine a likelihood of that account being a bot account or not.
I would like someone to use this app and determine its effectiveness in actually identifying bot accounts, test its performance, check for any trends that occur, do some things get flagged more than others, are some checks invalid or inaccurate, how to improve the algorithm and any other things you deem good to note.
Upon receiving the source code, you would do things like:
Thoroughly test the application using a diverse set of Twitter profiles and tweets to evaluate its performance and identify any trends or biases.
Assess the accuracy of the algorithm by comparing its predictions with known bot and genuine accounts, as well as analyzing any false positives or negatives.
Investigate the validity and relevance of the features used in the machine learning model and suggest improvements or additional features that can enhance its accuracy.
Provide recommendations on optimizing the algorithm and overall user experience of the web application.
Deliver a concise and insightful report outlining my findings, including performance metrics, trends, potential issues, and suggested improvements.
If this sounds good, please get in touch. I can provide the entire source code so you can run the web app locally.
Hi,
I hope you are doing fine.
I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects.
I read about your project and am interested in working with you. Please send me a message so that we can discuss more.
Best regards.
Hello
I am a professional python developer. My main specializations are automation, web scrapers and bots development.
I have already developed over 200 scrapers. From the simplest (for example, a competitor's price collector) to complex parsers (with authorization, bypassing captcha, rotating ips and others) which can collect millions of products from amazon.
I have done web scrapers for:
- Amazon
- Instagram
- Facebook
- Google
- Twitter
- LinkedIn
- Pinterest
- Walmart
- And many others
For scraping I use:
- Python
- Requests
- BeautifulSoup
- Selenium
- Scrapy
- Pyautogui
- Undetected Chromedriver
- Rotating ips
I can bypass:
- CloudFlare
- IP blocking
- Captcha
- Authorization required
- Other limitations
Django / PostgreSQL
For big scraping projects I usually use Django with PostgreSQL. This allows us to store information in a database for further processing and use. I also set up an administration area which allows us to check the data and set up scraper configs.
If you need a professional solution in this area - I am ready to cooperate.
I am ready to make a sample script before we start
Regards, Oleg
Nice to meet you Usmanimran96, My name is Anthony Muñoz, I express my interest in working on your project after carefully reading the requirements and concluding that they match my area of knowledge and skills.
I am currently the lead engineer for the IT agency DSPro and I have more than 10 years of experience in the field. I have successfully completed a large number of similar jobs and I consider your project to be a challenge in which I would like to work and be able to make it a reality.
Please feel free to contact me, it will be my pleasure to help you. I greatly appreciate the time provided and I remain attentive to any questions or concerns.
Greetings
Hello there, (Available now!)
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Hi, I have good working experience with Google ML kit and TensorFlow, also I would love to collaborate with your team of professionals. I am a Data Scientist have immense working experience of 5.5 years.
1. My portfolio includes--
- 6 OCRs
- Recommendation System
- Sentiment Analysis
- Malware Classification
- Prediction Models
- Crowd Management through head count
- Face Recognition Models.
2. My skill sets includes --
- Python
- Machine Learning
- Artificial Intelligence
- Deep Learning
- Neural Networks
- Data Structures
- Natural language Processing
- TensorFlow
- Azure Data Factory
- Apache AirFlow
- ETL
- Statistics and Mathematics are plus.
I am a detail oriented and passionate Data Scientist. I have great analytical skills and would love to provide best quality services ON TIME AND WITHIN BUDGET.
Please initiate the chat to have detailed discussion of your requirement.
Looking forward to hearing from you soon.
Thanks
Hello
I am a professional programmer with rich experiences with c/c++/c#,java,python and javascript.
I have read your ML project description.
I understand your requirement and am full of confidence since I have experiences that perform the similar task.
If you award me, I can start the project soon and will send you the good result in a short time.
Thanks for your reading. Best regards,
