- Applied Machine Learning
- Tensorflow
- Predictive Modeling
- Artificial Neural Networks
- Forecasting
- Recurrent Neural Networks (RNNs)
- Data Preprocessing
- Deep Learning
- Convolutional Neural Networks
- Machine Learning
- Time Series Analysis and Forecasting
Sequences, Time Series and Prediction
Completed by Sara Estephanía López Barrera
May 25, 2024
21 hours (approximately)
Sara Estephanía López Barrera'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
