Wikipedia defines K-mean clustering as:
k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster.
Here are some screen recordings for the same… I hope you like it☺
I’ve attended a live workshop on Salesforce and here is a short summary off my learning:
CRM stands for Customer Relationship Management
Salesforce is a CRM tool
Though Salesforce provides pre-created applications, we can also create customized applications in it as per our requirements.
Salesforce has 2 platforms: Classic and Lightning Platform.
Open source means which is publicly accessible anyone can see, modify, and distribute the code according to their requirement.
It helps us to grow your network as well as enrich our technical projects. Actually it helps to get into industry expert’s connection & learn from them a lot.
Some of the way…
In this workshop I learnt:-
In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm. In predictive analytics, a confusion matrix is a table with two rows and two…
🔅 Launch a container on docker in GUI mode
🔅 Run any GUI software on the container
A GUI (graphical user interface) is a system of interactive visual components for computer software. A GUI displays objects that convey information, and represent actions that can be taken by the user…
👉 Pull the Docker container image of CentOS image from DockerHub and create a new container
👉 Install the Python software on the top of docker container
👉 In Container you need to copy/create machine learning model.