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revelio's Introduction

Revelio Labs assignment

Directory organization:

./
├── ages_prediction.csv
├── README.md
├── Revelio Labs Linkedin .ipynb
├── models
    └── random_forest.joblib

The sections of the notebook are listed below:

0. Loading the data

1.Checking the data

  • 1.1 Individual data frames

  • 1.2 Missing values

2. Splitting the data to get the training data

  • 2.1 Choosing the training Data

  • 2.2 Splitting the data frames

3. Data processing

  • 3.1 Explanation and thought process

  • 3.1.1 Text clustering
  • 3.1.2 Other data processing and imputation
  • 3.1.3 How to label the data
  • 3.1.4 convert to numpy array for the training

  • 3.2 Putting it all together

  • 3.3 Using the DataTransformer class to get our data

4. Model

  • 4.1 Dealing with imbalanced label distribution

  • 4.2 Feature selection

  • 4.3 Training the tuned model

5 Final results and conclusion

Potential improvements and future work

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