- Applied Machine Learning
- Time Series Analysis and Forecasting
- Data Preprocessing
- Forecasting
- Machine Learning
- Tensorflow
- Predictive Modeling
- Convolutional Neural Networks
- Artificial Neural Networks
- Recurrent Neural Networks (RNNs)
- Deep Learning
Sequences, Time Series and Prediction
Completed by EKO RACHMAT SATRIYO
November 4, 2023
21 hours (approximately)
EKO RACHMAT SATRIYO'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
