Answer / Sandip Kumar Tiwari

A dataset in machine learning is a collection of data used to train and evaluate models. It consists of two main components: features (or input variables) and labels (or output variables). Datasets can come from various sources, such as real-world observations, experiments, or simulations.

How is KNN different from K-means clustering?

1 Answers  

---

What is the bias in machine learning?

1 Answers  

---

What is the difference between machine learning and artificial intelligence?

1 Answers  

---

Which classifier is best in machine learning?

1 Answers  

---

Which one would you prefer to choose – model accuracy or model performance?

1 Answers  

---

Explain how can we use your machine learning skills to generate revenue?

1 Answers  

---

What is the Model testing in Machine Learning?

1 Answers  

---

What is supervised and unsupervised machine learning?

1 Answers  

---

Why do ensembles typically have higher scores than individual models?

1 Answers  

---

Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.

1 Answers  

---

What are the best public data sets for machine learning?

1 Answers  

---

Explain me what cross-validation technique would you use on a time series dataset?

1 Answers  

---