This repository contains the necessary files, Jupyter notebooks, and datasets for a weather prediction model. The project is designed for live walkthroughs on Dataquest.
These walkthroughs aim to guide you through the entire process of building an end-to-end weather prediction model, providing a valuable addition to your portfolio.
To successfully engage with and complete this project, it is recommended that you have a solid understanding of the following:
Python syntax, including functions, if statements, and data structures Data cleaning techniques Pandas syntax Usage of Jupyter notebooks Basics of machine learning Ensure that you have completed the relevant Dataquest courses (or equivalent) before attempting these projects:
Python Introduction For Loops and If Statements Dictionaries In Python Functions and Jupyter Notebook Python Intermediate Pandas and NumPy Fundamentals Data Cleaning Machine Learning Fundamentals
This repository includes eight datasets that are integral to the weather prediction model:
Dataset 1: pune Dataset 2: bombay Dataset 3: delhi Dataset 4: kanpur Dataset 5: bengaluru Dataset 6: nagpur Dataset 7: hyderabad Dataset 8: jaipur Please refer to the individual dataset files for specific details on each dataset.
Source Code The source code for the weather prediction model is available in the Jupyter notebook titled source code.ipynb. You can follow the step-by-step execution in the notebook to understand the implementation of the model.
Open the Jupyter notebook source code.ipynb. Execute each cell in sequential order. Read the comments and markdown cells for explanations and instructions. Provide input according to the city you want the predictions. Analyze the results and visualize the model's performance. Feel free to experiment with parameters or extend the model based on your understanding. For any questions or issues, please open an issue on this repository.
Screenshots :
Cities you can choose : Pune, Bombay, Delhi, Nagpur, Kanpur, Hyderabad, Jaipur, Bengaluru.
Pune
Predicted precipitation and max temperature of the selected city ( In this case it’s Pune )
Predicted UV Index and minimum temperature of the selected city ( In this case it’s Pune )
Mean Absolute error for max temperature, Precipitation, UV index and minimum temperature.
Mumbai
Predicted precipitation and max temperature of the selected city ( In this case it’s Mumbai )
Predicted UV Index and minimum temperature of the selected city ( In this case it’s Mumbai )
Mean Absolute error for max temperature, Precipitation, UV index and minimum temperature.
Delhi
Predicted precipitation and max temperature of the selected city ( In this case it’s Delhi )
Predicted UV Index and minimum temperature of the selected city ( In this case it’s Delhi )
Mean Absolute error for max temperature, Precipitation, UV index and minimum temperature.
Happy coding!