ML-Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!🌟💫 Devfolio URL, https://devfolio.co/projects/mlcrate-98f9
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:
[x] New feature (non-breaking change which adds functionality)
How Has This Been Tested? ⚙️
Dry run the project and get insights of the project.
Checklist: ☑️
[x] My code follows the guidelines of this project.
[x] I have performed a self-review of my own code.
[x] I have commented my code, particularly wherever it was hard to understand.
[x] I have made corresponding changes to the documentation.
[x] My changes generate no new warnings.
[x] I have added things that prove my fix is effective or that my feature works.
[x] Any dependent changes have been merged and published in downstream modules.
Pull Request for ML-Crate 💡
Issue Title: IELTS Success Analysis and Prediction
Closes: #511
Describe the add-ons or changes you've made 📃
Type of change ☑️
What sort of change have you made:
How Has This Been Tested? ⚙️
Dry run the project and get insights of the project.
Checklist: ☑️