- Applied Machine Learning
- Tensorflow
- Data Preprocessing
- Artificial Neural Networks
- Predictive Modeling
- Forecasting
- Time Series Analysis and Forecasting
- Recurrent Neural Networks (RNNs)
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
Sequences, Time Series and Prediction
Completed by Zhou Ting Zhao
August 4, 2021
21 hours (approximately)
Zhou Ting Zhao'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
