- Convolutional Neural Networks
- Applied Machine Learning
- Forecasting
- Recurrent Neural Networks (RNNs)
- Predictive Modeling
- Machine Learning
- Artificial Neural Networks
- Data Preprocessing
- Tensorflow
- Time Series Analysis and Forecasting
- Deep Learning
Sequences, Time Series and Prediction
Completed by Omair Rashed Abdulwareth Almanifi
October 1, 2020
21 hours (approximately)
Omair Rashed Abdulwareth Almanifi'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
