Temporal Data Analysis
Budget: $15 – $25 USD
I have about 30-40 datasets of temporal data (continuous variable relative to time); I am looking to find patterns in this data - and forecast future readings from this dataset and test against the existing dataset. Looking for experience using ARIMA, Facebook Prophet type of tools. For example:
https://yuedong.faculty.pstat.ucsb.edu/ASSIST/manual/node39.html
Would be working with similar data but want to forecast using both deep learning models and classical statistical models to compare the performance of these models on the datasets that I have. Data structure would be as follows:
user,temp,timestamp
There are approximately 10 users, and each user has about 5-10 readings of 24 hours each.
I want to explore: linear models, ARIMA, deep learning models to forecast the future of this data, and determine both patterns and anomalies in each users datasets.
I need to show: visualizations of the performances of these models, and the underlying data for each collected dataset.
Deliverables: Python code, models, visualizations.
https://yuedong.faculty.pstat.ucsb.edu/ASSIST/manual/node39.html
Would be working with similar data but want to forecast using both deep learning models and classical statistical models to compare the performance of these models on the datasets that I have. Data structure would be as follows:
user,temp,timestamp
There are approximately 10 users, and each user has about 5-10 readings of 24 hours each.
I want to explore: linear models, ARIMA, deep learning models to forecast the future of this data, and determine both patterns and anomalies in each users datasets.
I need to show: visualizations of the performances of these models, and the underlying data for each collected dataset.
Deliverables: Python code, models, visualizations.