- Convolutional Neural Networks
- Deep Learning
- Time Series Analysis and Forecasting
- Applied Machine Learning
- Recurrent Neural Networks (RNNs)
- Tensorflow
- Forecasting
- Artificial Neural Networks
- Data Preprocessing
- Machine Learning
- Predictive Modeling
Sequences, Time Series and Prediction
Completed by FIKRAT GASIMOV
May 19, 2021
21 hours (approximately)
FIKRAT GASIMOV'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
