#kmeans #clustering #python
Want to know how many clusters to keep? We use the k-means elbow method in Python and the Silhouette Method to achieve how many clusters we should use for our analysis.

Kaggle Kernel: https://www.kaggle.com/funxexcel/p2-sklearn…

Learn how to implement speech recognition in Python by building five projects. You will learn how to use the AssemblyAI API for speech recognition.

💻 Code: https://github.com/AssemblyAI-Examples/python-speech-recognition-course

✏️ Course created by Misra…

Learn more about this opportunity at Ryerson.

Daily coding live stream, today working on:
- Taking a deep dive into Scikit Learn Pipelines

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW…

In this video you'll get an introduction to Machine Learning for the Audio Domain and also some of the theory that is needed to understand it and some of the advantages and challenges of this field.

On-Device Machine Learning → http://g.co/on-device-ml
…

Face Analysis: Detection, Age Gender Estimation & Recognition - sajjjadayobi/FaceLib

Forecasting Future World Events with Neural Networks (NeurIPS 2022) - andyzoujm/autocast

YOLO (You only look once) is a state of the art object detection algorithm that has become main method of detecting objects in the field of computer vision. Previously people used techniques such as sliding window object detection, R CNN, Fast R CNN and Faster…

Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are "black boxes", but that's not true at all. In this video I break each piece down and show how it…

Instance Shadow Detection (CVPR 2020). Contribute to stevewongv/InstanceShadowDetection development by creating an account on GitHub.

One postdoc and several PhD positions are available immediately at the School of Computing, Queen's University, Kingston, ON. Accepted candidates are expected… | 30 comments on LinkedIn

Demonstrating the convolutional layer of a convolutional neural network. The 3x3 window that passes over our input image is a "feature filter" for the smiley face's left eye (pretend that this feature filter has been learned over thousands of iterations of…

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git : …

NOTE: You can support StatQuest by purchasing the Jupyter Notebook and Python code seen in this video here: https://statquest.gumroad.com/l/uroxo

NOTE: This StatQuest assumes that you are already familiar with:
XGBoost for Regression: https://youtu.be/OtD8wVaFm6E…

YOLO v7 object detection tutorial for Windows and Linux. This is a complete tutorial and covers all variations of the YOLO v7 object detector. YOLO v7 has just been released and exhibits a performance and speed boost over its predecessors. This tutorial is…

In this video, learn about the importance of MLOps and the processes associated with it.
Download the 30-day learning journey for machine learning on Azure - https://azure.microsoft.com/en-us/overview/ai-platform/data-scientist-resources/

#Microsoft #Azure