Duplicate Column Names In Pandas: Updated
Author(s): Adam Ross Nelson Originally published on Towards AI. Pandas still permit duplicate column names, here is what you can do about it This member-only story is on us. Upgrade to access all of Medium. This article shows how easy it is …
DBT β The One Tool To Rule Them All
Author(s): Sarah Floris Originally published on Towards AI. 1. dbt-codegenβ΄ This member-only story is on us. Upgrade to access all of Medium. Data Build Tool (DBT) gets you reliably better data quality. Photo by Pankaj Patel on Unsplash Figuring out what is …
Data-centric vs. model-centric
Author(s): Paul Dovidavicius Originally published on Towards AI. Data-Centric AI: Decoding the Hype Data-centric approaches to Model Centric-focus on AI Photo by fauxels from Pexels The database and its impact on the quality of ML-based solutions provide different sessions, and itβs important …
Towards Artificial Intelligence β Overcoming Data Challenges
Author(s): Ramkumar Hariharan Originally published on Towards AI. The many varieties of messy data, and its fixes βData Mining is whatβs mine is mine and whatβs yours is also mineβ, Sydney Brenner Using the Data Preprocessing Toolbox is often critical (source: Anete-Lusina, …
What Is a Data Warehouse
Author(s): Giorgos Myrianthous Originally published on Towards AI. Understanding the concept of data warehouses and how they differ from data lakes and databases This member-only story is on us. Upgrade to access all of Medium. Photo by S Migaj on Unsplash Data …
How does Data Science Endure Everyday Business Problems?
Author(s): Saniya Parveez Originally published on Towards AI. Business Science Introduction For the last 20 years, industries were spending expansive investments in the development of business infrastructures. Now, industries have massively interconnected infrastructures that are being operated for several pursuits. These pursuits …
How to Combine Multiple Datasets
Author(s): Angelica Lo Duca Originally published on Towards AI. A description of the append and joining strategies, with a practical example in SQL. This member-only story is on us. Upgrade to access all of Medium. Photo by Tekton on Unsplash How many …
How to Detect Image Differences With Python
Author(s): Ashutosh Malgaonkar Originally published on Towards AI. I. Downloading your Image This member-only story is on us. Upgrade to access all of Medium. Photo by Coffee Geek on Unsplash Go to this link to download the image. Download this free HD …
Make Your Dashboard Stand Out β Dendrogam Chart
Author(s): Memphis Meng Originally published on Towards AI. Impress your audience and bosses! Image by Tableau.com This member-only story is on us. Upgrade to access all of Medium. To me, Tableau is the only kind of tool that allows me to do …
6 Types of AI Bias Everyone Should Know
Author(s): Ed Shee Originally published on Towards AI. Fairness In my previous blog, we looked at the difference between Bias, Fairness, and Explainability in AI. I included a high-level view of what Bias is but this time weβll go into more detail. …
Make Your Dashboard Stand Out β 3D Bar Chart
Author(s): Memphis Meng Originally published on Towards AI. Impress your clients and bosses! Image by tableau.com This member-only story is on us. Upgrade to access all of Medium. To me, Tableau is the only kind of tool that allows me to do …
Make Your Dashboard Stand Out β Sunshine Chart
Author(s): Memphis Meng Originally published on Towards AI. Impress your audience and bosses! Image by Tableau.com This member-only story is on us. Upgrade to access all of Medium. To me, Tableau is the only kind of tool that allows me to do …
Dealing with Class Imbalance β Dummy Classifiers
Author(s): Abhijeet Sahoo Originally published on Towards AI. Image credit: https://datascience.aero/ Let me paint a picture for you, you are a beginner to the field of Data Science and have started making your first ML model for predictions and found the accuracy …
Bias & Variance in Machine Learning
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Etienne Girardet on Unsplash Linear Regression is a machine learning algorithm that is used to predict a quantitative target, with the help of independent variables that are modeled in a linear manner, …
Assumptions of Linear Regression β What Fellow Data Scientists Should Know
Author(s): Shaurya Lalwani Originally published on Towards AI. Photo by Marius Masalar on Unsplash Linear Regression is a linear approach to modeling the relationship between a target variable and one or more independent variables. This modeled relationship is then used for predictive …