- Tensorflow
- Deep Learning
- Predictive Modeling
- Recurrent Neural Networks (RNNs)
- Machine Learning
- Applied Machine Learning
- Time Series Analysis and Forecasting
- Forecasting
- Artificial Neural Networks
- Data Preprocessing
- Convolutional Neural Networks
Sequences, Time Series and Prediction
Completed by Gustavo de Freitas Fonseca
October 12, 2020
21 hours (approximately)
Gustavo de Freitas Fonseca'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
