IELTS Success Analysis and Prediction Model

[Avdhesh-Varshney]

Pull Request for ML-Crate 💡

Issue Title: IELTS Success Analysis and Prediction

• Info about the related issue (Aim of the project) : The aim of this project is to analyze and predict the success rates of IELTS.
• Name: Avdhesh Varshney
• GitHub ID: https://github.com/Avdhesh-Varshney
• Idenitfy yourself: IWOC'24 Contributor

Closes: #511

Describe the add-ons or changes you've made 📃

• Load the dataset which contains 27 entries in it and having 23 features in it.
• Checked for missing values and cleaned the data accordingly.
• Analyzed the data, found insights and visualized them accordingly.
• Plotting heatmap using correlation and checking the relation between different features.
• Found detailed insights of different columns with target variable using plotting libraries and plot the box-plot to see the distribution of dataset correspond to target features.
• Split the dataset into training and testing dataset.
• Apply PCA to reduce the number of features.
• Apply different training models and get their accuracies and MSE and R2 scores.
• Train the datasets by different models and saves their accuracies into a dataframe.

Type of change ☑️

What sort of change have you made:

• New feature (non-breaking change which adds functionality)

How Has This Been Tested? ⚙️

Dry run the project and get insights of the project.

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @Avdhesh-Varshney :)

[Avdhesh-Varshney]

@abhisheks008 please review this pr and requested to merge it under IWOC'24

[abhisheks008]

Approved under IWOC 2024 @Avdhesh-Varshney