- Time Series Analysis and Forecasting
- Convolutional Neural Networks
- Artificial Neural Networks
- Recurrent Neural Networks (RNNs)
- Forecasting
- Deep Learning
- Machine Learning
- Applied Machine Learning
- Data Preprocessing
- Predictive Modeling
- Tensorflow
Sequences, Time Series and Prediction
Completed by Akshar Admane Krishnamurthy
June 1, 2020
21 hours (approximately)
Akshar Admane Krishnamurthy '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
