- Forecasting
- Recurrent Neural Networks (RNNs)
- Data Preprocessing
- Deep Learning
- Artificial Neural Networks
- Time Series Analysis and Forecasting
- Predictive Modeling
- Convolutional Neural Networks
- Tensorflow
- Machine Learning
- Applied Machine Learning
Sequences, Time Series and Prediction
Completed by Muhammad Sameer Ahmad
June 9, 2024
21 hours (approximately)
Muhammad Sameer Ahmad'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
