vishwa-teja Goto Github PK

automatic-ticket-assignment

Assigning tickets to the right functional groups is still a manual process in most IT Organizations. This AI Platform will automate this process to reduce risk, improve productivity and customer satisfaction. It helped to reduce the manual work by around 70%.

bank-personal-loan

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

face-mask-segmentation

In this hands-on project, the goal is to build a Face Mask Segmentation model which includes building a face detector to locate the position of a face in an image.

face-recognition

In this problem, we use a pre-trained model trained on Face recognition to recognize similar faces. Here, we are particularly interested in recognizing whether two given faces are of the same person or not.

git-commands

A list of commonly used Git commands

sarcasm-detection

Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag based supervision but such datasets are noisy in terms of labels and language. Furthermore, many tweets are replies to other tweets and detecting sarcasm in these requires the availability of contextual tweets. In this hands-on project, the goal is to build a model to detect whether a sentence is sarcastic or not, using Bidirectional LSTMs.

sentiment-analysis

Word embedding are a type of word representation that allows words with similar meaning to have a similar representation. It is a distributed representation for the text that is perhaps one of the key breakthroughs for the impressive performance of deep learning methods on challenging natural language processing problems. We will use the IMDb dataset to learn word embedding as we train our dataset. This dataset contains 25,000 movie reviews from IMDB, labeled with a sentiment (positive or negative).