What is One Hot Encoding? A one-hot encoding is a representation of categorical variables as binary vectors. This first requires that the categorical values be mapped to integer values. Then, each integer value is…
Category: ML|AI|DS
The goal of NER is to label names of people, places, organizations, and other entities of interest in text documents. There are three major approaches to NER: lexicon-based, rule-based, and machine learning based. However,…
Packages and software needed python pycharm opencv-python pyautogui mediapipe protobuf = 3.20.0 Installing the packages: opencv-python: you can directly download the package from the pycharm’s settings -> python interpreter or you can pip install…
Project Prerequisites Python open-cv We use Haar Cascade, ML object detection algorithm which is used to identify the objects in an image or video. In this, we train from the data sets and lot…
Prerequisites: Python and Scikit-learn installed Active Microsoft Azure Subscription Anaconda or Miniconda First things first we need to configure a virtual environment with Azure ML SDK For that, we need to open a new…
What is a ChatBot? A chatbot is basically software driven by Artificial intelligence. It is used to create conversations between users on the platform without any human on one end. It takes all the…
Python Code: Importing required python libraries. Loading the Data. Training the Model. Evaluating the model: Other Example: Video Surveillance
What is SVM? SVM is short form for support vector machines. It is a supervised learning models for classification and regression analysis. This was developed by AT&T bell lab. This SVM maps training examples…
What is Convolutional Neural Network? A convolutional neural network (CNN) is a type of artificial neural network used in image recognition and processing that is specifically designed to process pixel data. CNNs are powerful image processing, artificial intelligence…
Network architecture: We have generally seen deep neural networks for computer vision, image classification, and object detection tasks. In this project, we have to extend deep neural networks to 3-dimensional for learning spatio-temporal features…