- Applied Machine Learning
- Tensorflow
- Forecasting
- Recurrent Neural Networks (RNNs)
- Deep Learning
- Artificial Neural Networks
- Machine Learning
- Data Preprocessing
- Convolutional Neural Networks
- Predictive Modeling
- Time Series Analysis and Forecasting
Sequences, Time Series and Prediction
Completed by Sai Charan Chakrapani Kusumapani
July 10, 2020
21 hours (approximately)
Sai Charan Chakrapani Kusumapani'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
