- Tensorflow
- Artificial Neural Networks
- Time Series Analysis and Forecasting
- Machine Learning
- Predictive Modeling
- Forecasting
- Applied Machine Learning
- Recurrent Neural Networks (RNNs)
- Deep Learning
- Data Preprocessing
- Convolutional Neural Networks
Sequences, Time Series and Prediction
Completed by Maria del Rocio Alvarez Tamariz-Martel
December 14, 2020
21 hours (approximately)
Maria del Rocio Alvarez Tamariz-Martel'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
