https://github.com/pb319/cro_iiitl_test

I recently have had a chance to sit for the coding round relating to the position of intern at Climate Resilient Observatory, IIIT Lucknow.
https://github.com/pb319/cro_iiitl_test

Last synced: 2 months ago
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I recently have had a chance to sit for the coding round relating to the position of intern at Climate Resilient Observatory, IIIT Lucknow.

• Host: GitHub
• URL: https://github.com/pb319/cro_iiitl_test
• Owner: pb319
• Created: 2024-08-16T15:37:15.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-21T03:38:19.000Z (5 months ago)
• Last Synced: 2024-08-21T04:45:15.012Z (5 months ago)
• Language: Jupyter Notebook
• Size: 337 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
### Contents

- Description

- Problem Statement

- My Submission

- Gradual Improvement

It was my first experience to sit for coding round relating to a datascience intern role at Climate Resilient Observatory, IIIT Lucknow. This repository will capture my experience and things to be kept in mind while attempting such kind of tests. Last but not the least, I shall gradually try to imporve the performance of the underlying model.

#### Problem Statement

A dataset on mashrooms is given and we are to train a model to predict if the mashroom is poisonous or edible.

#### My Submission

```

file name- "Test.ipynb"

```

Methodology: the actual data was tempered by removing the headers to confuse the participants. The challenge was- 

- To figure out the target column

- Coverting the whole dataset into numeric features

#### Gradual Improvement

```

file name- "Final.ipynb"

```

Methodology:  

- Checking Acquracy

- Visualization of Confusion Matrix

- Comparison of the Untreated-Model and Treated-Model

- Cross Validation

- Grid Search and Hyperparameter Tuning