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Ramprasad Poojary
Registrace 30. 10. 2013
Keyestudio 45 in 1 Sensor StarterKit for BBC Micro:bit-Unboxing
This video shows the unboxing of Keyestudio 45 in 1 Sensor StarterKit for BBC Micro:bit. Video briefs about different categories of components available in the kit such as input devices, output devices etc.
Sensors and output devices are compatible with Arduino microcontroller also.
The main component in this kit is micro:bit Sensor shield v2 which allows sensors to connect to microbit.
For product details and code, check the official page of Keyestudio:
www.keyestudio.com/products/keyestudio-micro-bit-45-in-1-sensor-starter-kit-electronic-diy-kit-without-microbit-board
Price of KS 4009 kit (without microbit): USD 59
Check out my previous video on micro:bit for better insight into micro:bit sensor shield: czcams.com/video/T7E_2rQlAas/video.htmlsi=QGlG-NFAznJM9hD6
Sensors and output devices are compatible with Arduino microcontroller also.
The main component in this kit is micro:bit Sensor shield v2 which allows sensors to connect to microbit.
For product details and code, check the official page of Keyestudio:
www.keyestudio.com/products/keyestudio-micro-bit-45-in-1-sensor-starter-kit-electronic-diy-kit-without-microbit-board
Price of KS 4009 kit (without microbit): USD 59
Check out my previous video on micro:bit for better insight into micro:bit sensor shield: czcams.com/video/T7E_2rQlAas/video.htmlsi=QGlG-NFAznJM9hD6
zhlédnutí: 16
Video
micro:bit to ultrasonic sensor
zhlédnutí 43Před 9 hodinami
The video explains the working of the 4-pin ultrasonic sensor module HC-SR04 and the connection between the micro:bit & sensor module using a keyestudio sensor shield. Make code editor is used to program the micro:bit. The video demonstrates all the steps of constructing code for programming micro:bit and the hardware. This project uses the Keyestudio sensor shield to connect to micro:bit. Unde...
Python programming lecture series part-25. Object Detection using Yolov8
zhlédnutí 17Před 21 dnem
In this session, a popular Object detection ML model called Yolov8 is discussed with a practical demonstration using the Ultralytics AI package. Yolo model uses one pass for performing object detection. It is much faster than other object detection algorithms. Video demonstrated object detection using 5 steps. Yolo version 8 pretrained model is loaded from Ultralytics. Object detection model pu...
BBC Micro:bit - Introduction
zhlédnutí 42Před měsícem
In this session, I have introduced BBC micro:bit V2 board. The session includes a demonstration of hardware and software and building a code for Blinking external LED by using Digital Write and also displaying logical 0 and 1 on micro:bit LED display. The following things are discussed in this session: 1. Components of Microbit V2 board that includes sensors (Motion sensor-Accrelerometer & Comp...
Arduino Microcontroller Part 4 - Serial Monitor
zhlédnutí 63Před 2 měsíci
This session gives a detailed demonstration of the Serial Monitor tool of Arduino IDE. We can use this tool to communicate between Computers and Arduino microcontrollers. The session includes four different tasks: Task 1: Displaying a message on Serial Monitor Task 2: Use Serial Monitor to enter a character and display its Hex & Binary equivalent on the Serial Monitor. Task 3: Display the statu...
Arduino Microcontroller Part 3 - Digital Read
zhlédnutí 151Před 2 měsíci
This session gives a demonstration of the Digital Read function of Arduino Microcontroller. The microcontroller receives digital input from Pushbutoon which is connected to one of the digital I/O pins (Pin no. 12 in this case). Video includes: 1. Theoretical background about circuit using pushbutton 2. Making circuits using the Tinkercad simulator & Physical circuit Arduino Uno board and other ...
Arduino Microcontroller Part 2 - Digital Write
zhlédnutí 163Před 2 měsíci
This session is a continuation of Arduino-Part 1, In this session, you will be introduced to the Tinkercad simulator for the Digital Write function. The session begins with simulating the Arduino program using Tinkercad. The use of external LED and series Resistor at pin 12 is explained. The calculation of the Series resistance value is illustrated. The reason for using the right resistance val...
Arduino Microcontroller- Introduction
zhlédnutí 127Před 2 měsíci
Welcome you all to very first video under "Microcontroller & Single Board Computer Boards". In this video, I will provide you theoretical and practical information on most popular Microcontroller board (Arduino Microcontroller). Session includes: 1. Details about Arduino Uno Microcontroller board 2. Pin details 3. Ways to power the board 4. Writing simple Arduino program using Software (Arduino...
Python Programming Series Part-24. Decision Tree (Non-Linear Classifier)
zhlédnutí 49Před 2 měsíci
In this session, a Non-linear binary classifier called Decision Tree (DT) is discussed. The session includes theoretical background on DT along with a demonstration using Google Colab. The session starts by giving an introduction to Decision Tree as a classifier. The Skiing Dataset example from Stanford lecture notes (czcams.com/video/wr9gUr-eWdA/video.html&ab_channel=StanfordOnline) is used to...
PYTHON PROGRAMMING SERIES PART-23 DBSCAN
zhlédnutí 35Před 3 měsíci
Welcome to our latest CZcams video, where we delve into the fascinating world of DBSCAN - Density-Based Spatial Clustering of Applications with Noise. In this comprehensive tutorial, we cover everything from the fundamentals of DBSCAN to its practical implementation using Python's sklearn library in Google Colab. We kick things off with an overview of DBSCAN, a powerful unsupervised machine lea...
Python Programming Series Part- 22 (Principal Component Analysis)
zhlédnutí 47Před 3 měsíci
Welcome to CZcams channnel on Python Programming Series. In this session, we will focus on Principal Component Analysis (PCA), a powerful dimensionality reduction technique widely used in data science and machine learning. In this video, we'll delve into the advantages of PCA and provide a hands-on demonstration using Google Colab. Method 1 using sklearn PCA class & second one using manual meth...
Python Programming Series Part- 21 (Unsupervised Learning- K-Means Clustering)
zhlédnutí 123Před 3 měsíci
In this video, we cover K-Means clustering in detail. The session gives both theoretical and practical knowledge of this clustering algorithm. The session begins by highlighting the difference between Supervised and Unsupervised learning. Two important use cases of clustering algorithms are discussed. The necessary steps for developing K-Means clustering are discussed including the math involve...
Python Programming Lecture Series Part-20 (Underfitting & Overfitting)
zhlédnutí 30Před 8 měsíci
Welcome to my CZcams video where we dive deep into the intriguing concepts of underfitting and overfitting in machine learning, using a hands-on example of polynomial regression. We'll explore three different cases: underfitting, overfitting, and achieving the elusive "good fit" by varying the degree of the polynomial. In this practical session, we'll be using Google Colab for coding, ensuring ...
Python Programming Series- Part 19 (Loss function)
zhlédnutí 87Před 8 měsíci
In this video, I explained the theory behind the loss function used in Logistic Regression, known as Logistic loss or Binary crossentropy. We attempted to grasp how to minimize loss values to achieve optimal coefficients and intercepts. I used the Google Colab interface to demonstrate the computation of loss values and the creation of graphs with Predicted labels on the x-axis and Loss values o...
Python Programming Lecture Series- Part 18 (Logistic Regression as a Binary Classifier)
zhlédnutí 116Před 9 měsíci
Python Programming Lecture Series- Part 18 (Logistic Regression as a Binary Classifier)
Python Programming Lecture Series - Part 17 (Logistic Regression Introduction)
zhlédnutí 134Před 9 měsíci
Python Programming Lecture Series - Part 17 (Logistic Regression Introduction)
Python Programming Lecture Series Part-16 (Ordinary Least Squares Algorithm)
zhlédnutí 57Před 9 měsíci
Python Programming Lecture Series Part-16 (Ordinary Least Squares Algorithm)
Python Programming Lecture Series Part-15 (Linear Regression-Training Process)
zhlédnutí 71Před 10 měsíci
Python Programming Lecture Series Part-15 (Linear Regression-Training Process)
Python Programming Lecture Series Part-14 (Precision, Recall & F1 score)
zhlédnutí 78Před 10 měsíci
Python Programming Lecture Series Part-14 (Precision, Recall & F1 score)
Stable Diffusion Online - AI art tool
zhlédnutí 101Před 10 měsíci
Stable Diffusion Online - AI art tool
Python Programming Lecture Series Part-13 (Performance Metrics for Classification Models)
zhlédnutí 59Před 10 měsíci
Python Programming Lecture Series Part-13 (Performance Metrics for Classification Models)
Python Programming Lecture Series Part-12 (Performance Metrics)
zhlédnutí 46Před rokem
Python Programming Lecture Series Part-12 (Performance Metrics)
Python Programming Lecture Series Part-11 (Scikit Learn library or sklearn)
zhlédnutí 81Před rokem
Python Programming Lecture Series Part-11 (Scikit Learn library or sklearn)
Python Programming Lecture Series Part 10 (Sklearn ML library (Theory & Lab exercise)
zhlédnutí 98Před rokem
Python Programming Lecture Series Part 10 (Sklearn ML library (Theory & Lab exercise)
Stable Diffusion Model/ Leonardo AI Art tool
zhlédnutí 223Před rokem
Stable Diffusion Model/ Leonardo AI Art tool
Python programming Lecture Series Part 9 (Pandas ML Library)
zhlédnutí 72Před rokem
Python programming Lecture Series Part 9 (Pandas ML Library)
Python Programming Lecture Series Part-8 (Introduction to Machine Learning)
zhlédnutí 93Před rokem
Python Programming Lecture Series Part-8 (Introduction to Machine Learning)
Python Programming Series- Part 7 (Matplotlib)
zhlédnutí 103Před rokem
Python Programming Series- Part 7 (Matplotlib)
Python Programming Series- Part 6 (Python libraries)
zhlédnutí 109Před rokem
Python Programming Series- Part 6 (Python libraries)
Python Programming Series- Part 5 (Python Math module)
zhlédnutí 153Před rokem
Python Programming Series- Part 5 (Python Math module)