- Predictive Modeling
- Applied Machine Learning
- Convolutional Neural Networks
- Artificial Neural Networks
- Machine Learning
- Tensorflow
- Time Series Analysis and Forecasting
- Deep Learning
- Recurrent Neural Networks (RNNs)
- Data Preprocessing
- Forecasting
Sequences, Time Series and Prediction
Completed by Isaac Abraham
September 7, 2020
21 hours (approximately)
Isaac Abraham'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
