Welcome to "Data Wisdom," where I document my learning journey through the fascinating world of technology with a focus on machine learning and data science. This repository will serve as a platform to share knowledge, explore new trends, and reflect on the ever-evolving landscape of AI and data analytics.
Creating a high-level Exploratory Data Analysis (EDA) project is an essential skill for any data scientist. It allows us to understand the data's underlying patterns and to formulate hypotheses for further investigation. This post has the steps I'll be following for an EDA project suitable for inclusion in a GitHub portfolio. Check out the EDA Project Outline for a detailed walkthrough.
In this post, I encapsulate the key techniques of prompt engineering for ChatGPT, a skill honed through the "ChatGPT Prompt Engineering for Developers" course by DeepLearning.AI. Aimed at both novices and experienced developers, the article provides a distilled toolkit of strategies—from crafting precise commands to managing dialogue flow—that are vital for optimizing interactions with AI models. Check out the ChatGPT Prompt Engineering: Practical Techniques.
In this post, I have gathered information on Recommendation systems being used in the field of AI across most of the big technologies in the world. From the movies we binge-watch to the books we devour, these systems influence our choices more than we realize. It's a fun way to know how technology helps us find new favorites! Check out the post here
This post provides a comprehensive overview of the different types of data analytics used in business: Descriptive, Diagnostic, Predictive, Prescriptive, and Cognitive Analytics. From summarizing past data to predicting and influencing future outcomes, the post explains how these analytics techniques enable businesses to make informed, data-driven decisions. It's a valuable resource for anyone looking to understand the various aspects of business analytics and their importance in today's data-centric world. Check out the post here
In this post, we delve into the pivotal role of domain knowledge across the spectrum of data disciplines, including analytics, engineering, and science. Discover how understanding industry-specific contexts and nuances elevates the impact and accuracy of data-driven decisions. Check out the post here
This detailed guide delves into the specific applications and transformative impacts of data-driven strategies in 15 key industries, highlighting how these technologies optimize operations, innovate services, and drive growth. Whether improving patient care or enhancing cybersecurity, discover the pervasive power of data across the modern industrial landscape. Check out the article
