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Raspberry Pi Gardening: Monitoring a Vegetable Garden using a Raspberry Pi – Part 1
On how growing vegetables is more complicated how it looks, why bad soldering still works, on moving individual bits around, and what I learned about using technology where one probably does not need technology.
Air Piano using OpenCV and Python
Play the piano by just moving your fingers in the air! Taken from Unsplash My inspiration to make an “Air Piano” Recently I visited my cousin and she had been trying to learn piano for quite some time. However, due to the pandemic, her teacher could not come home and they were practising through (…)
How To Download Streaming Responses as a File in Python
Stream the file directly to a disk Continue reading on Better Programming »
Mouse and Trackbar in OpenCV GUI
The mouse pointer is a key component in a Graphical User Interface (GUI). Without it, you can’t really think of interacting with a GUI. So, let’s dive in and get introduced to the built-in functions for the mouse and trackbar in OpenCV. We will demonstrate how to use the mouse to annotate images, (…)
Using Mongo Databases in Python
An introduction to MongoDB with PyMongo (Image from https://www.pexels.com/ ) MongoDB is a document based database with a dynamic data schema. The JavaScript Object Notation (JSON) that it supports is a natural fit for working with objects in modern programming languages like JavaScript, Python and (…)
Analiza popularności serwisu Albicla
Założenie nowego serwisu społecznościowego nie jest rzeczą prostą – mówimy przecież o konkurowaniu z gigantami internetu, dysponującymi praktycznie nieskończoną ilością pieniędzy i rąk do pracy. Gdy określimy tworzony serwis jako „wolny od cenzury”, będzie jeszcze trudniej, bo przeżyjemy najazd (…)
Functional PCA with R
In two previous posts, Introduction to Functional Data Analysis with R and Basic FDA Descriptive Statistics with R , I began looking into FDA from a beginners perspective. In this post, I would like to continue where I left off and investigate Functional Principal Components Analysis (FPCA), the (…)
20 Lessons from Junior to Chief Data Scientist Journey
3 years spent eating, sleeping, and breathing data science Banner vector created by vectorpocket — www.freepik.com When I got my first corporate “data scientist” gig a few years ago, I barely knew what a decision tree was, I had no clue about why people kept talking about random forests, and I had (…)
5 Hyperparameter Optimization Techniques You Must Know for Data Science Hackathons
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The Hyperparameter Optimization for Machine Learning (ML) algorithm is an … The post 5 Hyperparameter Optimization Techniques You Must Know for Data Science Hackathons appeared first on Analytics (…)
3 Pandas Functions To Group and Aggregate Data | by Eugenia Anello | May, 2021
Import data and do both simple and multiple aggregations . When you work with data in Python, there is surely a library that will never leave your side: pandas . It’s a pretty powerful and intuitive open source library that provides data structures that are useful for dealing with high-dimensional (…)
Nine @dataclass Techniques for Better Python Code | by Bruce H. Cottman, Ph.D. | Jun, 2021
I show twenty-nine Python examples replacing def class with @dataclass. . I demonstrated how with twenty-nine code examples, how @dataclass transforms classes. We saw how @dataclass significantly increased readability . Better readability makes living production code easier for all, including the (…)
Towards a fully automated active learning pipeline
Towards a Fully Automated Active Learning Pipeline Simple, modular, and generic architecture for active learning Image is taken from freepik In my previous post , I gave a short introduction to the theory and methods of active learning. The next step in the Active Learning journey is the (…)
YOLOv5, End-to-End object detector project on custom dataset
YOLOv5, detect mushrooms, Please! This could be a command you give one of your drones walking in the forest. That would be awesome! The technology we’re gonna use here is so light, I’m sure this is far from a fantasy. “Mushrooms in the lawn” Image from Open Images Dataset V6 Author: James Bowe ( (…)
XGBoost is cool, but have you heard of CatBoost?
An introduction to this modern gradient-boosting library If you’ve worked as a data scientist, competed in Kaggle competitions, or even browsed data science articles on the internet, there’s a high chance that you’ve heard of XGBoost. Even today, it is often the go-to algorithm for many Kagglers (…)
Predicting win probability
A mini tutorial Predicting Win Probability Using machine learning on sales opportunities Have you ever had to determine the probability of winning opportunities in the pipeline? The Marketing team generates leads which followed up by the Sales team, and in the process each opportunity goes through (…)
The Best Spatial Analysis Packages to Use in R
Spatial Data Analysis is Becoming More Important. Have the Best Tools. As data becomes more geographical, there is a growing necessity to make spatial data more accessible and easy to process. While there are plenty of tools out there that can make your life much easier when processing spatial data (…)
Automate sample Big data generation with Faker and PostgreSQL for Django Projects
Generate reusable large mock dataset within seconds for your data-intensive projects unsplash.com While working on data-intensive applications there is always a need to generate loads of mock data to test in several scenarios. And we need ways to generate large datasets in minutes if not in seconds (…)
How I personalized my YouTube recommendation using YT API?
Machine Learning How to utilize most of YouTube’s API? Via Kostadin Last week, I wrote about how YouTube Algorithm works and the AI workflow behind it. But based on the information available regarding its recommendation system, I think there are some flaws in it: It highly prefers watch time and (…)
5 Useful Tips For Calculating Average In Python
Photo by Danganhfoto on Pixabay It cannot be both Accurate and Fast Measuring the central tendency of a dataset is one of the most common techniques of Exploratory Data Analysis. In this article, I won’t repeat what is mean, median and mode because these are basic statistics knowledge that is easy (…)
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