https://github.com/anish202020/weather_prediction_model_21int68_internship

Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.
https://github.com/anish202020/weather_prediction_model_21int68_internship

keras-neural-networks keras-tensorflow matplotlib numpy pandas sklearn

Last synced: 20 days ago
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Predicts weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.

• Host: GitHub
• URL: https://github.com/anish202020/weather_prediction_model_21int68_internship
• Owner: Anish202020
• Created: 2024-07-13T17:12:53.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-13T17:22:59.000Z (6 months ago)
• Last Synced: 2024-07-13T18:32:48.019Z (6 months ago)
• Topics: keras-neural-networks, keras-tensorflow, matplotlib, numpy, pandas, sklearn
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Weather Prediction Model



[![Google Colab](https://img.shields.io/badge/Google%20Colab-F9AB00?style=for-the-badge&logo=googlecolab&logoColor=white)](https://colab.research.google.com/)

[![NumPy](https://img.shields.io/badge/NumPy-013243?style=for-the-badge&logo=numpy&logoColor=white)](https://numpy.org/)

[![Pandas](https://img.shields.io/badge/Pandas-150458?style=for-the-badge&logo=pandas&logoColor=white)](https://pandas.pydata.org/)

[![Matplotlib](https://img.shields.io/badge/Matplotlib-003B57?style=for-the-badge&logo=matplotlib&logoColor=white)](https://matplotlib.org/)

[![Keras](https://img.shields.io/badge/Keras-D00000?style=for-the-badge&logo=keras&logoColor=white)](https://keras.io/)

[![Scikit-learn](https://img.shields.io/badge/Scikit--learn-F7931E?style=for-the-badge&logo=scikit-learn&logoColor=white)](https://scikit-learn.org/)

[![TensorFlow](https://img.shields.io/badge/TensorFlow-FF6F20?style=for-the-badge&logo=tensorflow&logoColor=white)](https://www.tensorflow.org/)

## Overview



This repository contains a Python project developed by Anish Kumar for predicting weather using data analysis and machine learning neural networks. The project reads data from a CSV file, processes it, trains a neural network, and visualizes the results.

## Table of Contents

1. [Introduction](https://#introduction) 

2. [Data Source](https://#data-source) 

3. [Libraries Used](https://#libraries-used) 

4. [Workflow](https://#workflow) 

5. [Data Preprocessing](https://#data-preprocessing) 

6. [Model Training](https://#model-training) 

7. [Prediction](https://#prediction) 

8. [Visualization](https://#visualization) 

9. [Conclusion](https://#conclusion) 

## Introduction

The primary function of this Python code is to analyze weather data from a CSV file and predict future weather conditions using Convolutional Neural Networks (CNN). The results are then visualized using matplotlib.

## Data Source

- **CSV File**: `L A_Weather.csv` 

## Libraries Used

- **Data Manipulation and Analysis**: `os` , `numpy` , `pandas` , `sklearn` 

- **Machine Learning Frameworks**: `tensorflow` , `keras` 

- **Visualization**: `matplotlib` 

## Workflow

1. **Loading the CSV file**

2. **Data Preprocessing and Cleaning**

3. **Training the Neural Network**

4. **Predicting Weather**

5. **Visualizing the Results**

## Data Preprocessing

Describe the steps taken to preprocess and clean the data. Include any specific techniques or transformations applied to the dataset.

## Model Training

Detail the process of training the Convolutional Neural Network (CNN). Include information about the architecture of the neural network, the training parameters, and any validation techniques used.

## Prediction

Explain how the trained model is used to predict weather conditions. Include any post-processing steps applied to the predictions.

## Visualization

Describe how the results are visualized using matplotlib. Include examples of the types of plots generated and their significance.