ML/DL Engineer with specialty in Aws

Closed Posted 2 weeks ago Paid on delivery
Closed Paid on delivery

NOTE: Please don't place your bid if you don't reply after bidding .

Task :

- create ML/DL model which justify 95% or above success in intraday trading

- data should be from 2010 till date

-the model should deployed on cloud like AWS or any other

- should send a real time notification on telegram with buying range ,selling ranges ,

Time, trading pair and result after specified time

Python Cloud Computing Amazon Web Services Deep Learning Telegram API

Project ID: #38041566

About the project

8 proposals Remote project Active 2 weeks ago

8 freelancers are bidding on average ₹81094 for this job

durgesh8527

As an experienced professional with a decade-long track record in web and mobile app development, my expertise extends intimately to the technologies that would be pivotal for your project. With my command over ReactJs More

₹7000 INR in 7 days
(1 Review)
4.1
sawerababar65

With over 1 year of experience in Python and Machine Learning, I have made it my mission to help businesses leverage the full power of these tools for optimal results. Having successfully developed numerous ML/DL mode More

₹7000 INR in 7 days
(2 Reviews)
1.7
TechCloves

We are a small AI startup company which specailizes in AI ML based solutions for businesses. Your ask is aligned to our previously developed projects. We can build the model for you and can expose APIs that you can int More

₹500000 INR in 45 days
(0 Reviews)
0.0
akishpothuri

I had a experience with AWS and Machine Learning. I know how to train the model using Time Series data and sending the notifications using Amazon SNS. I will be delivery your project in time.

₹7000 INR in 7 days
(0 Reviews)
0.0
jaid1992

Hi, I am Jai Deshmukh. I have a master's in Quantitative and Computational Finance from Georgia Tech and an Engineering in Computer Science from BITS Pilani. I have worked in the quantitative trading business at Barcla More

₹100000 INR in 1 day
(1 Review)
0.0