machine learning

Data Science Project Completed in 5 Minutes Using ChatGPT Plugin Noteable Automating your data science workflow using ChatGPT plugin Noteable

Data Science Project Completed in 5 Minutes Using ChatGPT Plugin Noteable

The ChatGPT plugin Noteable is a revolutionary tool designed to streamline and enhance the process of data analysis and modeling. Noteable allows users to describe in natural language what they want to do, such as the data analysis techniques they want to use, and it generates a complete notebook using Python, SQL, or markdown as …

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The Ultimate Guide to Evaluating Your Recommendation System Understand the key metrics to measure the performance of your recommender engine

The Ultimate Guide to Evaluating Your Recommendation System

Recommendation systems have become an integral part of our daily lives, shaping our experiences on e-commerce platforms, content streaming services, and social media networks. They help users navigate vast catalogs, find relevant items, and discover new products or content that they might enjoy. But how do we know if a recommendation system is doing a …

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Top 10 Causal Inference Interview Questions and Answers Causal inference terms and models for data scientist and machine learning engineer interviews

Top 10 Causal Inference Interview Questions and Answers

Causal inference analysis is frequently asked during data science and machine learning interviews. This tutorial will discuss the top 10 causal inference interview questions and how to answer them. Resources for this post: Let’s get started! Question 1: What is a Directed Acyclic Graph (DAG)? Question 2: What are confounders? Confounder is also called confounding variables. …

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Top 10 NLP Concepts Interview Questions and Answers Natural Language Processing (NLP) terms for data scientist and machine learning engineer interviews

Top 10 NLP Concepts Interview Questions and Answers

Natural Language Processing (NLP) terminologies are frequently asked during data science and machine learning interviews. In this tutorial, we will talk about the top 10 Natual Language Processing (NLP) concepts interview questions and how to answer them. The top 10 questions are: Resources for this post: Let’s get started! Question 1: What are vocabularies, documents, …

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Top 7 Support Vector Machine (SVM) Interview Questions for Data Science and Machine Learning

The support vector machine (SVM) model is a frequently asked interview topic for data scientists and machine learning engineers. In this tutorial, we will talk about the top 7 support vector machine (SVM) interview questions and how to answer them. The 7 questions are: Resources for this post: Let’s get started! Question 1: How does …

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Top 5 Decision Tree Interview Questions for Data Science and Machine Learning Entropy, Information Gain (IG), Information Gain Ratio (IGR), Gini Impurity, pros and cons of a decision tree, and overfitting correction

Top 5 Decision Tree Interview Questions for Data Science and Machine Learning

The decision tree model is a frequently asked interview topic for data scientists and machine learning engineers. In this tutorial, we will talk about the top 5 decision tree interview questions and how to answer them. The 5 questions are: Resources for this post: Let’s get started! Question 1: What are entropy, Information Gain (IG), …

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Imbalanced Multi-Label Classification: Balanced Weights May Not Improve Your Model Performance Compare the random forest model and logistic regression model with and without balanced weights on imbalanced multi-class classification

Imbalanced Multi-Label Classification: Balanced Weights May Not Improve Your Model Performance

The balanced weight is a widely used method for imbalanced classification models. It penalizes the wrong predictions about the minority classes by giving more weight to the loss function. In this tutorial, we will talk about how to use balanced weight for the imbalanced multi-label classification. We will cover the following: If you are interested …

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