Answer / Ani Ranjan

Model testing in Machine Learning refers to the process of evaluating a trained model's performance and accuracy on unseen data. It helps to ensure that the model generalizes well and does not overfit or underfit the training data.

What are the necessary steps involved in machine learning project?

1 Answers  

---

Why is logistic regression better than naive bayes?

1 Answers  

---

What is your favorite use case for machine learning models?

1 Answers  

---

What is feature engineering?

1 Answers  

---

Give a popular application of machine learning that you see on day to day basis?

1 Answers  

---

Which language is better for machine learning?

1 Answers  

---

Which are the two components of bayesian logic program?

1 Answers  

---

What is accuracy machine learning?

1 Answers  

---

What do you mean by Overfitting? How to avoid this?

1 Answers  

---

How machine learning is deployed in real world scenarios?

1 Answers  

---

What is the F1 score?

1 Answers  

---

How will you know which machine learning algorithm to choose for your classification problem?

1 Answers  

---