Answer / Rajesh Mathpal

There are several methods for preventing overfitting in machine learning. One common approach is Regularization, which adds a penalty term to the loss function to reduce the complexity of the model and encourage simpler solutions. Another popular technique is Cross-Validation, where the dataset is divided into multiple folds, and the model's performance is evaluated on each fold in turn.

What is feature engineering?

1 Answers  

---

Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?

1 Answers  

---

What is data augmentation in ml?

1 Answers  

---

What is motor sequence learning?

1 Answers  

---

How is machine learning (ml) different from artificial intelligence (ai)?

1 Answers  

---

What are the recommended systems?

1 Answers  

---

How would you use fl score?

1 Answers  

---

Why instance-based learning algorithm sometimes referred to as lazy learning algorithm?

1 Answers  

---

Why do we convert categorical variables into factor?

1 Answers  

---

Tell me what is the most frequent metric to assess model accuracy for classification problems?

1 Answers  

---

Explain the machine learning techniques?

1 Answers  

---

What is the most frequent metric to assess model accuracy for classification problems?

1 Answers  

---