Task Description 📄

📌 In this task :

👉Create a model that will detect a car in a live stream or video and recognize characters on number plate of the car .

👉Secondly , it will use the characters and fetch the owners information using RTO API’s .

Output


Unsupervised learning

Unsupervised learning is where you train a machine learning algorithm, but you don’t give it the answer to the problem. In Unsupervised Learning, the machine uses unlabeled data and learns on itself without any supervision. The machine tries to find a pattern in the unlabeled data and gives a response.

Clustering


JavaScript is a scripting or programming language that allows you to implement complex features on web pages — every time a web page does more than just sit there and display static information for you to look at — displaying timely content updates, interactive maps, animated 2D/3D graphics, scrolling video…


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, typically a supervised learning one.


Task -Running GUI Applications on Docker

RUN :docker run -it — name tsk2-summer — net=host — e DISPLAY=$DISPLAY centos:latest


Steps to be followed to achieve this task:-

  1. Pull a centos docker image from https://hub.docker.com/ and create a new container

2. Install python Software on top of Docker Container

3. Copy CSV file from Host Machine to Docker container

4. Train a Machine Learning model Using a Dataset

Pre-requisite:-

  • Docker…

Prerna Kamra

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