Weather Forecast Prediction

[ManasiGDeshmukh]

Get a proper dataset from kaggle or other sources and build a ML model for Weather Forecast Prediction

Approach : Try to use 2-3 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

Guidelines to be followed

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
• Images - To store the required images.
• Dataset - To store the dataset or, information/source about the dataset.
• Model - To store the machine learning model you've created using the dataset.
• requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

Happy Contributing

[sejalphatangare]

Hi! pls assign me this issue Sejal Phatangare UCE2021457 TY

[ManasiGDeshmukh]

@sejalphatangare please register on google form sent on mail then i can assign u

[ManasiGDeshmukh]

@sejalphatangare I have assigned this issue to you. Do create a PR within 2days by tagging this issue. Happy Contributing !!

[ManasiGDeshmukh]

@sejalphatangare You have deleted other files from repo, please sync repo and add your folder