Time series forecasting Weather prediction and anomaly detection
Budget: ₹1,500 – ₹12,500 INR
The main Aim of the problem is to build a Deep Learning model to predict weather and find anomalies using Python, Kera's, and TensorFlow.
1. Fitting a deep learning model (LSTM) and predicting the weather.
2. Implementing Anomaly Detection methods to detect unexpected weather events using LSTM Auto Encoders.
3. Building a web-based system that will allow real-time weather forecasting.
4. Need a Brief Report on the project explaining the code.
Must have good knowledge in Python, Deep Learning, Time Series, Web development.
Find the document below for the dataset.
Feel free to contact me if you have any queries.
1. Fitting a deep learning model (LSTM) and predicting the weather.
2. Implementing Anomaly Detection methods to detect unexpected weather events using LSTM Auto Encoders.
3. Building a web-based system that will allow real-time weather forecasting.
4. Need a Brief Report on the project explaining the code.
Must have good knowledge in Python, Deep Learning, Time Series, Web development.
Find the document below for the dataset.
Feel free to contact me if you have any queries.