What is Pandas? pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, in Python programming language. It is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy Read more
Resume NER Training In this blog, we are going to create a model using SpaCy which will extract the main points from a resume. We are going to train the model on almost 200 resumes. After the model is ready, Read more
Word Embedding and Sentiment Analysis What is Word Embedding? Natural Language Processing(NLP) refers to computer systems designed to understand human language. Human language, like English or Hindi consists of words and sentences, and NLP attempts to extract information from these Read more
Sentiment Classification using SpaCy What is NLP? Natural Language Processing (NLP) is the field of Artificial Intelligence concerned with the processing and understanding of human language. Since its inception during the 1950s, machine understanding of language has played a pivotal Read more
What is SpaCy? spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. If you’re working with a lot of text, you’ll eventually want to know more about it. For example, what’s it about? What do the Read more
Text Extraction in SpaCy spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. If you’re working with a lot of text, you’ll eventually want to know more about it. For example, what’s it about? What do Read more
Text Extraction and Matching spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. If you’re working with a lot of text, you’ll eventually want to know more about it. For example, what’s it about? What do Read more
Working with the text files Working with f-strings for formated print Working with .CSV, .TSV files to read and write Working with %%writefile to create simple .txt files [works in jupyter notebook only] Working with Python’s inbuilt file read and Read more
Multi-Label Image Classification in Python In this project, we are going to train our model on a set of labeled movie posters. The model will predict the genres of the movie based on the movie poster. We will consider a Read more
LinkedIn Profile Scrapping using Selenium and Beautiful Soup Scraping of LinkedIn profiles is a very useful activity especially to achieve public relations/marketing tasks. In this project, we are going to scrap important data from a LinkedIn profile. The first part Read more
What is CNN This Notebook demonstrates training a simple Convolutional Neural Network (CNN) to classify CIFAR images. Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such as image recognition and Read more
Auto Connect Bot for LinkedIn In this project, we are going to create a bot that finds the people in your LinkedIn suggestions and sends a connection request to each one of them with a message. It also finds the Read more
Breast Cancer Detection Using CNN in Python Breast cancer is the most commonly occurring cancer in women and the second most common cancer overall. There were over 2 million new cases in 2018, making it a significant health problem in Read more
Use of Dropout and Batch Normalization in 2D CNN on Dog Cat Image Classification in TensorFlow 2.0 We are going to predict cat or dog by the help of Convolutional neural network. I have taken the dataset from kaggle https://www.kaggle.com/tongpython/cat-and-dog. Read more
Extractive Text Summarization What is text summarization? Text summarization is the process of creating a short, accurate, and fluent summary of a longer text document. It is the process of distilling the most important information from a source text. Automatic Read more
Classification using CNN It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. In this project we are going to build a Read more
Donald Trump vs Warren Twitter Sentiment | US Election 2020 In this project we are going to extract live data from twitter related to Donald Trump and Elizabeth Warren. We are going to analyze the sentiment of the data and Read more
Speech to text conversion and real-time sentiment analysis In this project we are going to analyse the sentiment of the call. We are first going to convert the speech to text and the analyse the sentiment using TextBlob. TextBlob is a Python Read more
Complete Text Processing for Beginners Everything we express (either verbally or in written) carries huge amounts of information. The topic we choose, our tone, our selection of words, everything adds some type of information that can be interpreted and value Read more
Automatic Text Generation Automatic text generation is the generation of natural language texts by computer. It has applications in automatic documentation systems, automatic letter writing, automatic report generation, etc. In this project, we are going to generate words given a Read more