- Applied Machine Learning
- Convolutional Neural Networks
- Artificial Neural Networks
- Time Series Analysis and Forecasting
- Machine Learning
- Forecasting
- Deep Learning
- Recurrent Neural Networks (RNNs)
- Predictive Modeling
- Tensorflow
- Data Preprocessing
Sequences, Time Series and Prediction
Completed by Sounak Ganguly
June 20, 2020
21 hours (approximately)
Sounak Ganguly'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
