Feature selection in machine learning is the process of identifying the most relevant input variables for model building. This blog explores what feature selection in machine learning means, popular techniques, feature subset selection in machine learning & more.
Feature Selection in Machine Learning: Techniques | Methods Read More »
Feature Engineering for Machine Learning: When we think of machine learning, the first thing that usually comes to mind is powerful algorithms like Random Forests, Neural Networks, or Gradient Boosting. But here’s the truth, even the most advanced models won’t deliver accurate predictions if the data feeding them isn’t useful. This is where feature engineering
Feature Engineering for Machine Learning: Art and Science of Data Preparation Read More »
Data Warehouse Interview Questions: Interviews for data warehousing roles can be tricky. Whether you are a fresher just starting out or an experienced professional aiming for a senior position, preparation makes all the difference. The interviewer may check your understanding of basic data warehouse interview questions, move to data warehouse concepts interview questions, and then
Top 60 Data Warehouse Interview Questions and Answers (Freshers & Experienced) Read More »
Have you ever wondered why data scientists always talk about distributions? Well, probability distributions in data science are like the backbone of predictive analysis and statistical modelling.
Probability Distributions in Data Science: What are the 2 Types? Read More »
Ever wondered why two machine learning models trained on the same data behave differently? The answer often lies in something called inductive bias. Learn about inductive bias in machine learning in this blog.
Inductive Bias in Machine Learning: Meaning, Types & Importance Explained Read More »
When it comes to making machines learn like humans, neural networks are the go-to solution. But what really makes these networks “think” and decide? That’s where the activation function in machine learning steps in.
Activation Function in Machine Learning: 5 Types Explained Read More »
Outliers can quietly wreck your machine learning model if you don’t catch them. In this blog, we’ll explain outlier detection in machine learning, types of outliers, popular detection techniques, and why handling them properly is a must for data-driven decision making.
Outlier Detection in Machine Learning: Can It Ruin Your ML Model? Read More »
Are you curious about how machines make sense of complex data? One core ingredient is “feature extraction”. Read this blog to learn what is feature extraction in machine learning
Feature Extraction in Machine Learning: Meaning, Types & Techniques Read More »
Explore the most popular tools used in data analytics. Learn about data analytics tools and techniques, modern data analytic tools, open source data analytics tools, and a practical data analytics tools list for beginners.
Top Tools Used in Data Analytics: A Detailed Guide Read More »
Data is no longer just a by-product of operations; it’s the fuel powering strategic growth. From understanding customers to streamlining processes, Data Analytics in Business is transforming how Indian companies compete.
Data Analytics in Business: Boosting Growth with Smart Data! Read More »
