Answer / Aditya Kumar

The Machine Learning Process consists of several stages: Problem Understanding, Data Collection and Preparation, Feature Engineering, Model Selection and Training, Evaluation, Optimization, Deployment, and Monitoring.

Explain Classification and Regression?

1 Answers  

---

What is the difference between heuristic for rule learning and heuristics for decision trees?

1 Answers  

---

Name a few libraries in Python used for Data Analysis and Scientific Computations?

1 Answers  

---

Which os is best for machine learning?

1 Answers  

---

What’s the difference between Type I and Type II error?

1 Answers  

---

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

1 Answers  

---

Tell us why is “naive” bayes naive?

1 Answers  

---

What is data pre-processing technique for machine learning?

1 Answers  

---

Tell us how do deductive and inductive machine learning differ?

1 Answers  

---

Explain how is knn different from k-means clustering?

1 Answers  

---

Why do we need to convert categorical variables into factor?

1 Answers  

---

How a roc curve works?

1 Answers  

---