- Recurrent Neural Networks (RNNs)
- Predictive Modeling
- Time Series Analysis and Forecasting
- Tensorflow
- Machine Learning
- Data Preprocessing
- Deep Learning
- Convolutional Neural Networks
- Applied Machine Learning
- Forecasting
- Artificial Neural Networks
Sequences, Time Series and Prediction
Completed by Isrrael Fábrica Quispe
October 31, 2020
21 hours (approximately)
Isrrael Fábrica Quispe'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
