How to classify text using Word2Vec
Word2Vec vectors are basically a form of word representation that bridges the human understanding of language to that of a machine.
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Transfer Learning with GloVe
Transfer learning is one of the most important breakthroughs in machine learning! It helps us to use the models created by others.
Sentiment Analysis of Tweets using BERT
BERT stands for Bidirectional Encoder Representations from Transformers and it is a state-of-the-art machine learning model used for NLP tasks like text classification, sentiment analysis, text summarization, etc.
Support Ticket Classification using TF-IDF Vectorization
This is probably one project which every organisation can benefit from! A lot of human effort is spent unnecessarily every day just to re-prioritize the incoming support tickets to their deserving priority, because everyone just creates them either as Priority-2 or Priority-1. This issue can be solved to some extent if we had a predictive …
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Data Science Interview. Final checklist!
Before you go out in the job market and start taking data science interviews. There is some basic ground you must cover, otherwise you will be caught off guard or get rejected for so silly things that you might regret later on!
Face Recognition using Deep Learning CNN in Python
In this case study, I will show you how to implement a face recognition model using CNN. You can use this template to create an image classification model on any group of images by putting them in a folder and creating a class.
Predicting stock prices using Deep Learning LSTM model in Python
In this case study, I will show how LSTMs can be used to learn the patterns in the stock prices. Using this template you will be able to predict tomorrow’s price of a stock based on the last 10 days prices.
How to use Artificial Neural Networks for classification in python?
How to use Deep Artificial Neural Networks for Classification use cases in Python
Using Artificial Neural Networks for Regression in Python
How to implement a Deep Learning ANN for a Regression use case in python
Data Science Interview Questions for IT Industry Part-6: Deep Learning
Deep Learning algorithms are helping us to create a lot of modern applications based on AI. For example, Alexa, Siri, face recognition in our mobile phone cameras, scene detection in our phone cameras, language translation in Google, etc. the list is long!