- Deep Learning
- Tensorflow
- Machine Learning
- Recurrent Neural Networks (RNNs)
- Artificial Neural Networks
- Data Preprocessing
- Predictive Modeling
- Applied Machine Learning
- Convolutional Neural Networks
- Time Series Analysis and Forecasting
- Forecasting
Sequences, Time Series and Prediction
Completed by Povilas Simanaitis
August 27, 2020
21 hours (approximately)
Povilas Simanaitis'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
