- Tensorflow
- Applied Machine Learning
- Convolutional Neural Networks
- Time Series Analysis and Forecasting
- Recurrent Neural Networks (RNNs)
- Data Preprocessing
- Predictive Modeling
- Deep Learning
- Forecasting
- Artificial Neural Networks
- Machine Learning
Sequences, Time Series and Prediction
Completed by Lawrence Granda Zarzuela
July 3, 2022
21 hours (approximately)
Lawrence Granda Zarzuela'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
