MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.
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Model Forecasting using ARIMA model (GSSOC'23) #714
Is your feature request related to a problem? Please describe.
We will first analyze the data, then we will perform the interpolation, After that, we will do the time series decomposition. Then we will perform Dickey Fuller test. And then train the model. Finally we will evaluate the model.
Describe the solution you'd like
We will first analyze the data, then we will perform the interpolation, After that, we will do the time series decomposition. Then we will perform Dickey Fuller test. And then train the model. Finally we will evaluate the model.
The data set is Air Passenger
Describe alternatives you've considered
No response
Additional context
No response
Code of Conduct
[X] I agree to follow this project's Code of Conduct
Is your feature request related to a problem? Please describe.
We will first analyze the data, then we will perform the interpolation, After that, we will do the time series decomposition. Then we will perform Dickey Fuller test. And then train the model. Finally we will evaluate the model.
Describe the solution you'd like
We will first analyze the data, then we will perform the interpolation, After that, we will do the time series decomposition. Then we will perform Dickey Fuller test. And then train the model. Finally we will evaluate the model. The data set is Air Passenger
Describe alternatives you've considered
No response
Additional context
No response
Code of Conduct