Bahati Mulishi
Joined August 2024
37 stories
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Concepts for Machine Learning
Key Concepts for Machine Learning Interviews 1. Supervised Learning: Understand the basics of supervised learning, where models are trained on labeled data. Key algorithms include Linear Regression, Logistic Regression, Support Vector Machines (SVMs), k-Nearest Neighbors (k-NN), Decision Trees, and Random Forests.
By Bahati Mulishiabout a year ago in Geeks
data science concepts
Data Cleaning: Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in a dataset. It is a crucial step in the data science pipeline as it ensures the quality and reliability of the data.
By Bahati Mulishiabout a year ago in Geeks
