KNN algorithm

Best Approach For Resume screening by Machine Learning-Part 1

August 8, 2022August 8, 2022Artificial intelligence, ML, AI and Data Engineeringartifical intelligence, KNN algorithm, Machine Learning, Natural language processing, python, tfidf vectorizer

Reading Time: 3 minutes Introduction Resume screening is the process of determining whether a candidate is qualified for a role based on his or her education, experience, and other information captured on their resume. It’s a form of pattern matching between a job’s requirements and the qualifications of a candidate based on their resume. The goal of screening resumes is to decide whether to move a candidate forward – Continue Reading

MachineX: KNN algorithm using KSAI

September 4, 2018ML, AI and Data Engineering, Studio-ScalaK nearest neighbour, KNN algorithm, KSAI

Reading Time: 3 minutes Classification is a well-known area of machine learning. the K-Nearest neighbor algorithm is a simple algorithm that keeps all available cases and classifies new cases based on the similarity with existing cases. KNN has been used in pattern recognition as a non-parametric technique. in this algorithm, a case is classified by a majority of votes of its neighbors. if K=1 then the cases are assigned Continue Reading