- Machine Learning
- Tensorflow
- Deep Learning
- Predictive Modeling
- Artificial Neural Networks
- Forecasting
- Recurrent Neural Networks (RNNs)
- Time Series Analysis and Forecasting
- Convolutional Neural Networks
- Data Preprocessing
- Applied Machine Learning
Sequences, Time Series and Prediction
Completed by Timur Merembayev
May 4, 2020
21 hours (approximately)
Timur Merembayev'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
