[EXE] Weather Forecast Prediction Model
timothynn opened this issue · comments
Learning Goals
[Learning goals, bulleted/numbered list is preferred]
[e.g. learn the concept and the use of train/validation/test dataset using scikit-learn ]
Exercise Statement
[Explain and describe what the exercise is]
[e.g. apply simple random-forest model to classify titanic survivability from titanic data ]
Prerequisites
[Prerequisites, in terms of concepts or other exercises in this repo]
[e.g. random-forest model, stochastic gradient descent, exercise #32]
Data source/summary:
[Provide a succinct summary of what the data is and where it is from]
[e.g. This involves covid19 fatality dataset from John Hopkin's website (links..) ]
(Optional) Suggest/Propose Solutions
[e.g. I have the solution using PyTorch, will be happy to create pull request to include the exercise statement/solution]
[e.g. I think chapter 3 of A. Geron's textbook works out the solution for this exercise]
[e.g. fast.ai's chapter 5 has the perfect solution for this]
(Optional) Further Links/Credits to Relevant Resources:
[e.g. This exercise and solution's proposal came from a lab session from DL2020]
Hey @timothynn can you give the source of dataset and the problem statement.