KNN algorithm is non-parametric, meaning it doesn't make an underlying assumption of data distribution. In the KNN classifier: We find K-neighbors nearest to the white point. In the example below, we chose k=5. To find the five nearest neighbors, we calculate the euclidean distance ...
KNN is a classification algorithm It classifies an unlabeled observation based on its K (can be any number) surrounding neighbors 17. What Is ‘naive’ in the Naive Bayes Classifier? The classifier is called ‘naive’ because it makes assumptions that may or may not turn out to be correct....
KNN is a non-parametric algorithm used for classification and regression tasks. It works by finding the K nearest data points in the training set to a given test point and then making predictions based on the majority class (classification) or the mean value (regression) of those K neighbors...
SQL interview questions for data engineerscover fundamental concepts like joins, subqueries, case statements, and filters. In addition, if required to write SQL code, it could test if you know how to pull metrics or questions that determine how you handle errors and NULL values. Common SQL ques...
Low bias: SVM, decision trees, KNN algorithm, etc. High bias: Linear and logistic regression 63. What is the use of Hash tables in statistics? Hash tables are the data structures that are used to denote the representation of key-value pairs in a structured way. The hashing function is us...
Collaborative filtering is an algorithm used to create recommendation systems based mainly on the behavioral data of a customer or user. For example, when browsing e-commerce sites, a section called ‘Recommended for you’ is present. This is done using the browsing history, analyzing the previo...
KNN Algorithm - Understand Everything (Theory + Maths + Coding) in 1 video📹 5. Support Vector Machines All about SVMs - Math, Terminology, Intuition, Kernels in one article📘 25 Questions to test a Data Scientist on SVMs📘 6. Naive Bayes ...
Hypothesis Testing: Permutation tests rely on resampling for statistical inferences. Data Science Probability Interview Questions 75. What do you understand by Hypothesis in the context of Machine Learning? In machine learning, a hypothesis represents a mathematical function that an algorithm uses to repr...
If I had to code a sorting algorithm, I can tell ya it wouldn't have been very good. Every data structure I've ever used was built into the language, and I didn't know how they worked under the hood at all. I've never had to manage memory unless a process I was running would...
How Do I Prepare To Answer Design Questions In A Technical Inverview? 8 Things You Need to Know Before a System Design Interview Algorithm design Database Normalization - 1NF, 2NF, 3NF and 4NF (video) System Design Interview - There are a lot of resources in this one. Look through the ...