- 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 Rittesh P.V
March 20, 2020
21 hours (approximately)
Rittesh P.V'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
