Box Plot, Violin Plot, Ridgeline Plot — Oh My
Author(s): Adam Ross Nelson Originally published on Towards AI. How, when, and why to use these lesser-appreciated plots I say move over mere histograms! Make room for the triumvirate of data visualization tools that often fly under the radar. Box plots, violin …
The ChatGPT Code Interpreter Is Finally Open. How Exactly Does It Work? Here’s A Tutorial
Author(s): The Tech Insider Originally published on Towards AI. ChatGPT and Code Interpreter A few days ago, OpenAI announced that it was making the official plugin Code Interpreter available to all ChatGPT Plus users via a Beta panel in the settings within …
5 Reasons Why Data Science Is Awesome
Author(s): Egor Howell Originally published on Towards AI. Listing five key reasons why you should consider being a data scientist Photo by Stephen Dawson on Unsplash I have been working as a data scientist for nearly 2 years now. In that time, …
Decoding the Binomial Distribution: A Fundamental Concept for Data Scientists
Author(s): Egor Howell Originally published on Towards AI. Understanding the basic building blocks of the binomial distribution Photo by Chris Briggs on Unsplash The binomial distribution is a widely used statistical distribution that Data Scientists should be familiar with, as it appears …
Correct Handling of Outliers to Improve Overfitting Scenarios
Author(s): Kayenga Campos Originally published on Towards AI. Correct Handling of Outliers to Improve Overfitting Scenarios Look how quantile treatment of outliers can improve model accuracy The main approach of machine learning consists of splitting the data into training and testing sets. …
Explaining Hypothesis Testing to a High School Student — Part 1
Author(s): Anmol Tomar Originally published on Towards AI. An Intuition Image by Author In the realm of data science, hypothesis testing holds immense significance as a powerful tool for making informed decisions based on observed data. By systematically examining assumptions and evaluating …
If You Want to Learn Statistics, Without Boring, Read This
Author(s): Gencay I. Originally published on Towards AI. Simplifying Statistics for Data Science, and Machine Learning with Python: An Engaging Guide for the Curious Mind Image by Author- Created in Canvas Do you find yourself overwhelmed by the complexities of Statistics as …
Must-Know Statistics Questions for Data Science Interviews
Author(s): Roli Trivedi Originally published on Towards AI. Photo by Marjhon Obsioma on Unsplash What is Inferential Statistics?Inferential Statistics make predictions and inferences about the population based on the sample of data taken from the population. There are two main use cases …
Genetic Algorithms and the Knapsack Problem: A Beginners’ Guide
Author(s): Egor Howell Originally published on Towards AI. Get hands-on experience with genetic algorithms and learn how to solve the knapsack problem step by step Photo by Vinicius Benedit on Unsplash In one of my previous articles, we introduced and discussed the …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
Signing off,
Author(s): Hitesh Hinduja Originally published on Towards AI. Comparative Analysis of Popular Statistical Tests: Which One to Use When? Let me begin by sharing my experience in detail. During my early years in the corporate world, my mentor imparted a piece of …
Case Study Interview Questions on Statistics for Data Science
Author(s): Simranjeet Singh Originally published on Towards AI. Introduction Welcome to the world of data science, where statistics are the foundation upon which we build insights and solutions. Whether you’re just starting out or you’re a seasoned data professional, it’s essential to …
Exploration of Statistical Language Models
Author(s): Anay Dongre Originally published on Towards AI. Image by author A Statistical Language Model is a powerful tool used in Natural Language Processing that aims to predict the likelihood of a sequence of words in a given language. In simple terms, …
Part 3:
Author(s): Rohini Vaidya Originally published on Towards AI. Unraveling the Complexity of Distributions in Statistics U+007C by Rohini Vaidya U+007C Apr 2023 U+007C Towards AI Navigating the Complex World of Distribution: A Complete Guide for the different distributions that you must know …
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