Efficient Testing of Your Python Code With Pytest
Author(s): Janik and Patrick Tinz Originally published on Towards AI. TESTING AND PROGRAMMING Photo by Douglas Lopes on Unsplash Do you often look for errors in software components that could prevent with a better testing strategy? Sometimes you or a colleague change …
Data Science Roadmap: From Beginner to Pro with ChatGPT
Author(s): Gencay I. Originally published on Towards AI. Harnessing the Power of ChatGPT and Python in Your Data Science Journey: A Comprehensive Roadmap. Image created in LeonardoAI Probably, you encountered one of my previous articles about Data Science but be aware that …
Half Marathon Data Exploration and Visualization: using Python Plotly Library
Author(s): David Cullen Originally published on Towards AI. London Landmarks Half Marathon 2023 In April of this year, I ran the London Landmarks Half Marathon for the first time. The race included 17,225 registered participants between the ages of 17–89 and managed …
The Secret Python Skills That Separate Good Data Scientists from Great Ones
Author(s): Gencay I. Originally published on Towards AI. Conclusion Created in LeonardoAI In the fascinating realm of Data Science and Machine Learning, proficiency in Python has emerged as an invaluable skill. Beyond a solid understanding of Python, mastering certain Python abilities can …
Bootstrap: A beginner-friendly Introduction With a Python example
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Bootstrapping and the central limit theorem Photo by Glenn Carstens-Peters on Unsplash The bootstrap method is a resampling technique in which one draws many samples again from one sample. It is used …
Bootstrap: A Beginner-Friendly Introduction With a Python example
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Bootstrapping and the central limit theorem Photo by Glenn Carstens-Peters on Unsplash The bootstrap method is a resampling technique in which one draws many samples again from one sample. It is used …
20 Most Elegant NumPy Tricks I Found After 3 Years of Use
Author(s): Bex T. Originally published on Towards AI. Become a NumPy samurai Image by me with Midjourney Every data scientist admires someone. For some, it might be people who create killer data visualizations; for others, it is simply anyone who answers their …
Let’s Do: Time Series Decomposition
Author(s): Bradley Stephen Shaw Originally published on Towards AI. What makes your time series tick? There’s only one way to find out — by taking it apart. Photo by Sean Whelan on Unsplash Time series are quite possibly the most ubiquitous collections …
5 Powerful Cross-Validation Methods to Skyrocket Robustness of Your ML Models
Author(s): Bex T. Originally published on Towards AI. All CV procedures you need to know as a data scientist, explained Image by me with Midjourney Before I start selling the merchandise, I need to pitch the main idea. Picture a crazy world …
19 Most Elegant Sklearn Tricks I Found After 3 Years of Use
Author(s): Bex T. Originally published on Towards AI. Advanced techniques and hidden gems for effective machine learning Learn about 19 Sklearn features you have never seen that are direct and elegant replacements to common operations you do manually. Image by me with …
17 Pandas Trick I wish I knew Before(As a Data Scientist)
Author(s): Gencay I. Originally published on Towards AI. Mastering Python’s Pandas: Unlock Seventeen Essential Tricks to Supercharge Your Data Science Journey Image generated with LeonardoAI Are you finding yourself drowning in an ocean of data? Are complex datasets a riddle you can’t …
Machine Learning: The First Step is to Understand Simple Linear Regression
Author(s): Dede Kurniawan Originally published on Towards AI. Mastering Simple Linear Regression in Python without a Lot of Math Photo by Andrea Piacquadio on Pexels In the machine learning universe, who doesn’t know about linear regression? Of course, everyone knows about it. …
Under the hood
Author(s): Stephen Bonifacio Originally published on Towards AI. Creating a (mostly) Autonomous HR Assistant with ChatGPT and LangChain’s Agents and Tools OpenAI recently released a paper comparing two training methods aimed at improving the reliability of Large Language Models (LLM): model training …
Using Python to Automate Word Report
Author(s): Yeung WONG Originally published on Towards AI. Step-by-step tutorial on streamlining the update of Microsoft Word report using Python There are lot of reporting work in my daily routine job, Python has many useful packages to help me automate the work, …
Trend Modeling in Time Series Forecasting with Facebook Prophet
Author(s): David Andres Originally published on Towards AI. How does Prophet deal with changes in trend? Photo by Cristian Escobar on Unsplash Classical time series forecasting techniques rely on statistical models that require a significant amount of effort to fine-tune and tailor …
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