We are solving a multivariate time series regression problem where the goal is to predict scour depth — a continuous quantity — using both hydraulic and sedimentological features, possibly in a temporal context. Key Requirements: - Experience with ML regression techniques - Proficiency in handling and analyzing time series data - Ability to build and validate predictive models specifically Transformer or LSTM - Familiarity with relevant programming languages (e.g., Python, R) Ideal Skills: - Strong background in statistics and data analysis - Experience with libraries like TensorFlow, scikit-learn, or similar - Excellent problem-solving skills - Ability to communicate complex results clearly Please share your relevant experience and approach.
Keyword: Python
Delivery Time: 6 days left days
Price: $72.0
Python Scientific Research SPSS Statistics Statistical Analysis Statistics
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