All posts by Alpesh Kumar
Difference Between Classification and Regression in Machine Learning
Classification vs Regression Classification predictive modeling problems are different from regression predictive modeling problems. Classification is the task of predicting a discrete class label. Regression is the task of predicting a continuous quantity.
What are “ensemble methods”?
An ensemble methods are technique which uses multiple independent similar or different models and then combine them to produce improved results. Ensemble methods usually produces more accurate solutions than a single model would. The motivation for using ensemble models is to reduce bias or variance. For e.g. A random forest is an ensemble of multiple decision…
Entropy, Information gain, and Gini Index: Decision Tree
The decision tree algorithm is one of the widely used methods for inductive inference. It approximates discrete-valued target functions while being robust to noisy data and learns complex patterns in the data. The family of decision tree learning algorithms includes algorithms like ID3, CART, ASSISTANT, etc. They are supervised learning algorithms used for both, classification…
What is bias and variance in machine learning?
Some models are too simplistic and ignore important relationships in the training data, which could have improved their predictions. Such models are said to have high bias. When a model has high bias, its predictions are consistently off, at least for certain regions of the data if not the whole range. For example, if you try…
Optimizing MLOps: Essential Tool Stack Guide
In the realm of machine learning (ML), the rise of MLOps (Machine Learning Operations) represents a paradigm shift towards greater efficiency and streamlined workflows. MLOps is a set of practices that aims to unify ML system development and ML system operation. It focuses on automation and monitoring throughout the entire machine learning lifecycle, facilitating smoother…
Python Array Squaring: Simplify the Complex
Unlocking the Puzzle of Sorted Arrays When programming intersects with problem-solving, each line of code we write is more than just instruction; it’s a strategic move in a grander game of logic and efficiency. Big names in tech, such as Google, Apple, and Microsoft, recognize this. They often challenge interviewees with problems that seem deceptively…
Basics of Python Programming!
Python is a popular programming language that is known for its simplicity, readability, and versatility. In this post, we’ll cover the fundamental concepts of Python programming that will help you get started with building your own programs. Data types and Variables In Python, there are several data types that you can work with, including integers,…
Unlocking the Power of Python: A Beginner’s Guide to the World’s Most Versatile Language
Welcome to the world of Python! Python is a high-level, interpreted programming language that has become a popular choice for developers all around the world. It is known for its simplicity, readability, and versatility, which makes it a great choice for beginners and professionals alike. Why learn Python? There are many reasons why you should…