Different_Hyperparameter_Tuning_Techniques

---

Complete Walkthrough of the process is documented in my Medium Article, Do have a look at it from this link.

---

Data

News data obtained from Kaggle. link

Objective

• Objective of this project is to show most of the hyperparameter tuning methods in the industry.
• People can see get code as well as comparison between the models to choose from.

---

Dependencies

• time
• pprint
• pandas
• numpy
• matplotlib
• sklearn
• skOpt
• hyperOpt
• Optuna

---

Models

• RandomForest

---

Metrics

• Precision
• Recall
• f1

---

Performance

1. Sorting with respect to f1 score on test

2. Sorting with respect to difference between f1 score on train and test