- Predictive Modeling
- Data Preprocessing
- Machine Learning
- Tensorflow
- Time Series Analysis and Forecasting
- Artificial Neural Networks
- Applied Machine Learning
- Forecasting
- Convolutional Neural Networks
- Recurrent Neural Networks (RNNs)
- Deep Learning
Sequences, Time Series and Prediction
Completed by Daehyun Kim
October 31, 2022
21 hours (approximately)
Daehyun Kim'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
