- Forecasting
- Machine Learning
- Deep Learning
- Applied Machine Learning
- Convolutional Neural Networks
- Recurrent Neural Networks (RNNs)
- Artificial Neural Networks
- Time Series Analysis and Forecasting
- Tensorflow
- Data Preprocessing
- Predictive Modeling
Sequences, Time Series and Prediction
Completed by ZIYU JIA
December 11, 2022
21 hours (approximately)
ZIYU JIA's account is verified. Coursera certifies their successful completion of Sequences, Time Series and Prediction
What you will learn
Solve time series and forecasting problems in TensorFlow
Prepare data for time series learning using best practices
Explore how RNNs and ConvNets can be used for predictions
Build a sunspot prediction model using real-world data
Skills you will gain
