Make a ML/DL model based on requirements. (Options Data)
₹75000-150000 INR
Оплачивается при доставке
Seeking an experienced professional for a project focused on time series forecasting using Python, machine learning (ML), and deep learning (DL) techniques. The project involves analyzing multiple features, exploring various feature combinations, and utilizing ML to uncover patterns within a large dataset from the stock market. The primary goal is to develop predictive models capable of identifying and forecasting recurring patterns in stock market - Options data.
Key Requirements:
1. Strong proficiency in Python for data analysis and machine learning.
2. Extensive experience in working with time series data.
3. Expertise in machine learning and deep learning techniques, particularly for time series forecasting.
4. Ability to handle and process large datasets effectively.
5. A deep understanding of the stock market and options trading is essential for context and informed analysis.
This project presents an exciting opportunity to leverage data science and machine learning to gain insights into stock market behavior and develop predictive models that can assist in decision-making within the financial markets. If you have a background in ML on time series data and a strong grasp of stock market dynamics, we encourage you to apply for this project-based opportunity.
Note: Payment of this project will be made only in case of successful execution of project. Minimum Accuracy of project has to be above 75%.
ID проекта: #37255157
О проекте
28 фрилансеров(-а) готовы выполнить эту работу в среднем за ₹110929
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Hi I am interested in this project. Recently work on python with ml(regression,random forest ,decision tree) Lets discuss full requirements
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Hi I have experience and knowledge in Python Machine learning Time series data I hope we could together. Please text me so we could discuss the details
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