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ML and NLP project for feature extraction

$30-250 USD

In Progress
Posted over 3 years ago

$30-250 USD

Paid on delivery
Based on the definitions for process, risk and controls you have to extract the features (as mentioned in the definition) from the input statement.
Project ID: 28451813

About the project

6 proposals
Remote project
Active 3 yrs ago

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6 freelancers are bidding on average $153 USD for this job
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I am a data scientist proficient in machine learning, statistical analysis and web scrapping. My expertise in Python and R have comes from my experience in Natural Language processing, statistical analysis, web scraping etc. I also have a strong background of theoretical statistics and mathematics. I am good at the following: - Deep learning for natural language processing including used of RNN, CNN etc. - Web scraping using python, requests, selenium etc. - Statistical Modelling using R and python
$200 USD in 3 days
4.9 (135 reviews)
6.6
6.6
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Hi, there. I am a machine learning engineer good at several deep learning algorithms. I am proficient in Python, OpenCV, Keras Tensorflow, PyTorch, and Scikit-learn. Carefully checked your requirements. I can help you with this project. Hope we can discuss more deeply via chat. Best regards, Sgadou
$200 USD in 3 days
4.9 (15 reviews)
5.2
5.2
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Hi there, I am an AI specialist. Feel free to contact me in chat to talk on details. Thanks.
$140 USD in 5 days
4.9 (17 reviews)
5.3
5.3
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Hello there... I have more than 5 years of ML and NLP experienced. I can manage this ML,NLP project with Premium Quality. Thank you. we can discuss now!!!
$140 USD in 7 days
4.9 (18 reviews)
4.8
4.8
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Hello, Vivek . Hope you are doing well. I read your project details carefully and fully understood what do you want. As senior python developer, have experience with ML in 10 years. I am ready right now and will show my best skill. Please contact me. Thank you.
$100 USD in 3 days
5.0 (1 review)
3.4
3.4

About the client

Flag of UNITED STATES
NEWARK, United States
4.9
34
Payment method verified
Member since Mar 3, 2018

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