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Areas Served: Decoding Statistical Power: The Key to Precision in Marketing Studies
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. Marketing Measurement-4: A layman’s guide to Statistical Power and its interplay with other factors while measuring marketing effectiveness. Top highlight Photo by Thomas Kelley on Unsplash This article is a …
Regression, Personalisation, and the Kaggle Syndrome
Author(s): Kelvin Lu Originally published on Towards AI. Photo by Artem Beliaikin on Unsplash Recently, I worked on a prediction case study using the Kaggle Black Friday Prediction dataset, which was created six years ago and has been downloaded over 32,000 times. …
Facebook’s Billion-Scale Search Algorithm Repurposed to Efficiently Navigate Proteomic Data
Author(s): LucianoSphere Originally published on Towards AI. Photo by Julia Koblitz on Unsplash A new paper presents Spectroscape, a new method and web-based tool created to address the challenges in proteomics data management and exploration. Modern MS experiments for proteomics produce vast …
GPT-4 Advanced Data Analysis: A Beginner’s Guide to Charts and Maps
Author(s): John Loewen, PhD Originally published on Towards AI. Removing the “advanced” for simple and useful data analysisDall-e created image — impressionist painting in vivid thick oil colors of a map of Earth With data science, turning raw numbers into meaningful data …
Mapping With GPT-4's Advanced Data Analysis Tool: A Comprehensive Example
Author(s): John Loewen, PhD Originally published on Towards AI. Using GPT-4 to generate beautiful on-the-fly charts and mapsDall-e Image: impressionist painting in vivid colors of planet Earth With data analysis, one of the most challenging things to do is to transform raw …
Finding Insights into Customers with ChatGPT
Author(s): Dennis Niggl Originally published on Towards AI. “The aim of marketing is to know and understand the customer so well the product or service fits him and sells itself”. -Peter Drucker Photo by Austin Distel on Unsplash Businesses need to know …
Mastering Matplotlib: A Comprehensive Guide to Data Visualization
Author(s): RaviTeja G Originally published on Towards AI. Image Generated with Ideogram.ai Hello, Data EnthusiastU+1F44B We know that data is better understood through visualizations. It doesn’t just help us get insights, Visualizations also make things easy to explain our insights to clients …
Unveiling Knowledge in the Data Age
Author(s): MicroBioscopicData Originally published on Towards AI. Each passing year brings us increasingly powerful computers, more cost-effective storage solutions, and improved data transmission capabilities. These remarkable technological achievements/ advancements have made it possible nowadays to collect, store, and transmit enormous amounts of …
Object Oriented Programming (OOP) in Python — for Beginners (Part 1)
Author(s): MicroBioscopicData Originally published on Towards AI. In this first part of the series Object Oriented Programming (OOP) in Python – for Beginers, we'll embark on a journey to demystify the concept of classes and objects. We'll walk through the basics of …
Machine Learning: Understand Centering and Scaling purposes
Author(s): Flo Originally published on Towards AI. Using Transformers (MinMaxScaler, StandardScaler, RobustScaler) Top highlight Scaling, Image by Flo on OpenSea This article introduces the centering and scaling concepts.With a real-world use case, I explain the advantages of the center and scale the …
Building Correlation Matrix With P-Values In Python
Author(s): Adam Ross Nelson Originally published on Towards AI. Producing correlation output beyond the defaults in Python If you're a fan of the correlation Matrix, like I am, this article is for you. This article is especially for folks who use Python …
“Navigating the Data Odyssey: Top Data Analytics Trends for 2023”
Author(s): Bhavesh Agone Originally published on Towards AI. The study of analyzing raw data to draw inferences about information is known as data analytics. In this blog, I’ll discuss the future of data analytics and show you where the sector is going. …
Diversity of Variables in Statistics: A Guide for Data Professionals
Author(s): Anmol Tomar Originally published on Towards AI. Quantitative and Qualitative Variables: Unveiling the Dichotomy This member-only story is on us. Upgrade to access all of Medium. Pic Credits: Analytics Vidhya In statistics, understanding the types of data measurements is essential for …
The Evolution of Tabular Data: From Analysis to AI
Author(s): Abid Ali Awan Originally published on Towards AI. Discover how tabular data space is being transformed by Kaggle competitions, the open-source community, and Generative AI. Image by Author Introduction Tabular data refers to data organized into rows and columns. It encompasses …
From Data to Dollars: Using Linear Regression
Author(s): Roli Trivedi Originally published on Towards AI. Unraveling the Magic Behind Predictive Analytics Photo by PiggyBank on Unsplash Data-driven decision-making has become a game-changer for businesses in every industry. From optimizing marketing strategies to predicting customer behavior, data holds the key …
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