Machine Learning For Pattern Recognition - Live Stock Data Platform
Budget: $250 – $750 USD
I am looking for an experienced machine learning engineer to develop a predictive analytics model focused on the stock market. I'd like to create a platform that feeds live stock data which alerts me on specific pattern recognitions provided by me.
Looking for:
- Proficiency in machine learning and predictive analytics.
- Experience with financial datasets, specifically historical stock data.
- Strong understanding of stock market dynamics.
- Ability to work with time-series data.
- Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn.
- Previous experience in building models for financial markets is highly desirable.
Looking for:
- Proficiency in machine learning and predictive analytics.
- Experience with financial datasets, specifically historical stock data.
- Strong understanding of stock market dynamics.
- Ability to work with time-series data.
- Skilled in programming languages such as Python, especially libraries like Pandas, NumPy, and scikit-learn.
- Previous experience in building models for financial markets is highly desirable.
Related categories:
Python
Statistics
Machine Learning (ML)
R Programming Language
Predictive Analytics