How I Identify the Yoga Poses with CV in 7 steps
Author(s): Gencay I. Originally published on Towards AI. Identify Yoga Poses with Computer Vision using Deep Learning and CNNs — A Data Science Approach Image by Author There is no doubt that yoga has become increasingly popular over the years, with millions …
scikit-learn Cheat Sheet: Functions for Machine Learning
Author(s): Gencay I. Originally published on Towards AI. Mastering Machine Learning with Python and scikit-learn: A Comprehensive Guide for Data Scientists and AI Enthusiasts Image by Author It is no secret that data science and machine learning have become essential components of …
How to Save and Load Deep Learning Models with Keras?
Author(s): Tirendaz AI Originally published on Towards AI. Learn how to use ModelCheckpoint callback Image by Freepik Training deep learning models is a time-consuming process. You can save model progress during and after training. So, you can resume the training of a …
Python Pandas vs. Dask DataFrames: A Comparative Analysis
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. A Comparison of Python’s Popular Data Manipulation Libraries Photo by Peter Burdon on Unsplash DataFrames are a popular data structure used for data manipulation and analysis in Python. Pandas and Dask are two …
Diagnosing the Stubborn Mediocrity of the Western Bulldogs
Author(s): Ranganath Venkataraman Originally published on Towards AI. Using data to get insight into why my supported Australian Football League team perennially languishes and the corresponding lessons learned Photo by Tingey Injury Law Firm on Unsplash Note — this article reflects my …
Want to Stand Out in Data Science? Don’t Make These Portfolio Mistakes!
Author(s): Youssef Hosni Originally published on Towards AI. Is Your Data Science Portfolio Sinking Your Career? Don’t Make These 10 Mistakes Data science is a rapidly growing field, and as more and more people enter the industry, it’s becoming increasingly important to …
Effective Data Visualization Tips For Improving Your Data Storytelling
Author(s): Sarang S Originally published on Towards AI. Image by author Data Visualization Visualized data and information are collectively known as data visualization. The primary goal of data visualization is to enhance the understandability of large and complex data patterns. Charts, graphs, …
H2Oai releases Fully OpenSourced GPT
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. h2oGPT-20B, h2oGPT-12B v1, and h2oGPT-12B v2 models have been released with Apache 2.0 license (Completely free for even commercial use case) On April 21st, H2O.ai decided to make a splash in …
Python Pandas vs. Vaex Dataframes: A Comparative Analysis
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Similarities and Differences between Pandas and Vaex Image by Author with @MidJourney Data science and analysis rely heavily on data manipulation and processing. With large and complex datasets becoming increasingly common, efficient and …
Mastering Linear Regression: A Step-by-Step Guide
Author(s): Anushka sonawane Originally published on Towards AI. From Basics to Advanced: A Comprehensive Guide to Linear Regression Understanding Linear Regression [Image by author] Have you ever wondered how we could use machine learning to predict future outcomes based on past data? …
Active Learning with Autogluon
Author(s): Ulyana Tkachenko Originally published on Towards AI. Train accurate models with minimal data labeling via Active Learning and AutoML Training supervised machine learning models with large amounts of data can be expensive, time-consuming, and oftentimes unnecessary effort. Comparable results can be …
This is Why You Should Read This Before Using Pandas in Data Cleaning
Author(s): Gencay I. Originally published on Towards AI. Master Data Cleaning, Processing, and Exploration with Pandas Created with Leonardo.ai Welcome to the quick tutorial on data manipulation with Pandas! In this tutorial, we will cover a wide range of topics, starts with …
From Detection to Correction: How to Keep Your Production Data Clean and Reliable
Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: In Production ML, data quality is everything. No matter how great your models or algorithms are, if the data you feed them is garbage, you’ll get garbage results. But how can …
1 Line of Code to Make Your Pandas 80% More Efficient: Modin Pandas
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Remove your Data Transformation Bottlenecks with Parallelization Image by Author with @MidJourney Introduction Python’s Pandas library is one of the most popular tools for data manipulation and analysis. However, Pandas can struggle with …
3 Efficient Ways to Filter a Pandas DataFrame Column by Substring
Author(s): Byron Dolon Originally published on Towards AI. How to quickly filter string columns in Pandas for Machine Learning pre-processing Used with permission from ohmintyartz The Pandas library is used extensively not only for crunching numbers but also for working with text …
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