Bala Priya C

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Articles

A Data Scientist’s Guide to Debugging Common Pandas Errors

Jan 24, 2025 | kdnuggets.com | Bala Priya C

By, KDnuggets Contributing Editor & Technical Content Specialist on January 24, 2025 in PythonCheck out this hands-on guide to resolving the most frequent pandas errors in Python data science workflows. If you've spent any time working with pandas in Python, you know that certain errors have a way of popping up just when you least expect them. Understanding these common issues and their solutions speeds up your debugging process. Also, it helps you write more robust code from the start.
Statistics Cheat Sheet for the Busy Data Professional

Jan 21, 2025 | statology.org | Bala Priya C

As a data professional, you’re probably familiar with stats fundamentals. But a statistics cheat sheet for quick reference can always come in handy. Think of this statistics cheat sheet as a reference when you need to quickly sanity-check your approach. We’ve tried to cover the key statistical concepts you’ll use most often. 1. Descriptive Statistics FundamentalsBefore diving into complex analyses or building sophisticated models, you need to understand what your data is telling you.
How to Interpret Statistical Plots in Python

Jan 17, 2025 | statology.org | Bala Priya C

Statistical plots are vital tools for understanding data. They provide a visual representation of patterns, relationships, and distributions, helping us make informed decisions. In this article, we’ll explore how to interpret key statistical plots in Python using a sample real-world dataset. Getting StartedWe’ll use the Seaborn library for visualization and the built-in tips dataset, which contains information about restaurant tips.
How to Perform Statistical Analysis on Sparse Data in Python

Jan 16, 2025 | statology.org | Bala Priya C

Imagine trying to analyze Netflix’s user ratings where most movies haven’t been watched, or social media connections where each person only knows a small fraction of all users. Enter sparse data analysis. Where most of our data points are zeros or empty values, and traditional statistical methods might lead us astray. This article will walk you through the essential techniques and considerations for handling sparse data using Python.
How I Would Learn Python in 2025 (If I Could Start Over)

Jan 14, 2025 | flipboard.com | Bala Priya C

1 hour agoChatGPT enters the agentic AI era. The era of ChatGPT doing stuff for you has arrived. On Tuesday, OpenAI announced "tasks," a ChatGPT feature that performs, well, tasks, for users. Tasks, rolling out as a beta feature for ChatGPT Plus, Teams, and Pro users over the next few days, enables users to …
How I Would Learn Python in 2025 (If I Could Start Over)

Jan 13, 2025 | kdnuggets.com | Bala Priya C

I’ve been programming with Python for over 6 years now. But if I could start over, here’s how I’d go about learning Python in 2025. I switched to Python from C++ when I started grad school. And here’s what I did: watched and read tutorials to learn the ropes, learned a bit more when working on programming assignments for my courses, and spent time every weekend solving problems on Leetcode and HackerRank. Well, that doesn’t sound very bad. But there were two main drawbacks.
How I Would Learn Data Science in 2025 (If I Could Start Over)

Jan 9, 2025 | flipboard.com | Bala Priya C

7 hours ago8 Phrases That Deeply Passive-Aggressive People Are Likely To Say To YouWhat is passive-aggressive behavior, and how can you spot the signs of a toxic relationship filled with passive aggression? Passive aggressive …5 hours agoCephalopods Pass Cognitive Test Designed For Human ChildrenBack in 2021, a test of cephalopod smarts reinforced how important it is for us humans to not underestimate animal intelligence.
Top 5 Statistical Techniques to Detect and Handle Outliers in Data

Jan 9, 2025 | statology.org | Bala Priya C

Outliers in real-world datasets are often tricky to deal with. Outliers are the odd or extreme values in your data—the values that are way off compared to the rest. Ignoring outliers can lead to skewed averages, less robust models, and less reliable conclusions. It is, therefore, important to detect such outliers in the dataset. This article covers five common statistical techniques for outlier detection.
The Essential Python Cheat Sheet for Statistical Analysis

Jan 7, 2025 | statology.org | Bala Priya C

Statistics can often be difficult. Which is why a quick reference cheat sheet—with essential statistics concepts—is helpful. Python is a good programming language for statistical analysis. So it’s also useful to have Python code snippets you can look up. This is a Python cheat sheet for statistical analysis. We’ll cover the following topics.
5 Tips for Structuring Your Data Science Projects

Jan 6, 2025 | kdnuggets.com | Bala Priya C

Image by Author | Created on CanvaYou know the feeling…coming back to an old data science project and spending way too long figuring out what you were doing. Well, in most data science projects, figuring out the objectives and understanding the problem take precedence. So it’s quite common to let writing clean code and following best practices take the backseat. A well-structured project isn’t just nice to have; it’s essential for a smooth coding and debugging experience.