How I Use AI to Make My Data Analyst DREAM Come True
Author(s): Henry Originally published on Towards AI. Leveraging AI as a Data Analyst: Practical Prompt to Advance Your CareerPhoto by Nick Fewings on Unsplash Whether you’re already a data analyst or just aspiring to become one, you must know the importance of …
Beyond Pandas: The Modern Data Processing Toolkit for Data Engineering (Part 1)
Author(s): Gift Ojeabulu Originally published on Towards AI. Image by author Outline Introduction The Data Size Decision Framework & Comprehensive Decision Flowchart A Diagrammatic representation based on Team Syntax Preference, and Performance or Integration Requirements Real-World Examples: Log file Analysis, E-commerce instance …
Is Gemini’s New Data Science Agent Useful? Here’s The Truth
Author(s): John Loewen, PhD Originally published on Towards AI. Testing Python code creation and distribution in Google Colab In Google Colab, Gemini makes it possible to go from a plain-text instruction to a functional, multi-step notebook — without switching tools. In other …
The Ultimate Guide to the SQL WHERE Clause for Data Science
Author(s): Suraj Jha Originally published on Towards AI. Learn how to filter data efficiently in SQL with powerful techniques and real-world examples for data science.SQL Filtering Techniques for Data Science The WHERE clause is the part of the SELECT statement that is …
Unsupervised Learning Series #2: K-Means + K-Modes = K-Prototypes — Understanding How Data Type Defines Your Clustering Strategy
Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. When we step into the world of unsupervised learning, one of the first families of algorithms we meet is the K-Family — K-Means, K-Modes, and K-Prototypes.Each member of this family plays a unique …
Data Analysis in Excel
Author(s): Lalit Kumar Originally published on Towards AI. A data scientist’s go to tool for basic analysis Data science is a dynamic and crucial field, which uses a diverse array of sophisticated techniques and algorithms to extract meaningful insights and actionable information …
Exploring Deep Learning Models: Comparing ANN vs CNN for Image Recognition
Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. Have you ever wondered how well Artificial Neural Networks (ANN) perform compared to Convolutional Neural Networks (CNN) in classifying images? In this article, I’ll walk you through a hands-on project where we train …
Unsupervised Learning Series #1: A Beginner’s Guide to Concepts and Models That Work
Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. “No Label, No Problem”. That’s the motto of Unsupervised Learning — a fascinating branch of machine learning where algorithms learn patterns from unlabeled data. Not part of the Medium’s partner program? No worries! …
Say Goodbye to Manual Data Analysis: Meet Your New AI Agent!
Author(s): Gencay I. Originally published on Towards AI. Explore the future of AI with Data Science, ChatGPT, Agents, and Data Analysis for better decisions. I love doing Data analysis, don’t get me wrong. But what if it can be enhanced? Or better …
5 Pandas Tricks You Probably Never Heard Of!
Author(s): Gencay I. Originally published on Towards AI. Discover five pandas tricks to enhance Python data analysis for Data Science workflows.Created with GPT 4o “The goal is to turn data into information, and information into insight.” — Carly Fiorina To do that, …
Build a DAX Code Generator
Author(s): Barrett Studdard Originally published on Towards AI. Utilize LLM AI to Create A Power BI Coding Assistant I’ve been wanting to play around with recent technologies and approaches used in building LLM-powered applications — one interesting idea that came to mind …
Part 03: Describing Random Outcomes: PMF, CDF, and PDF
Author(s): Sudeep Originally published on Towards AI. In the previous article, we introduced the concept of a random experiment using the example of student marks in a class. Now, we will delve deeper into how we mathematically describe the likelihood of different …
The Art Behind Data Understanding and Its Importance
Author(s): Karina Patel Originally published on Towards AI. What nature and technical skills should a person have to get a good understanding of data? To understand data effectively, a person must develop specific skills and traits beyond just technical expertise. Often, individuals …
It Was Never Just About Tools: How Learning Data Analytics and Machine Learning Changed My Thinking
Author(s): Nikhil Dasari Originally published on Towards AI. Reflections on mistakes, mindset shifts, and what I truly learned while exploring Data Analytics and Machine Learning. Photo by Ameer Basheer on Unsplash After my graduation, I was clueless about my career — what …
The Data Scientist’s New Assistant: An Ultimate Guide to Google’s Gemini Data Science Agent
Author(s): Krishan Walia Originally published on Towards AI. Let’s find to what extent your data science work is automated! This member-only story is on us. Upgrade to access all of Medium. Not a member?Feel free to access the full article here. The …
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