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…
Extraction of text from PDF using PyPDF2 This notebook demonstrates the extraction of text from PDF files using python packages. Extracting text from PDFs is an easy but useful task as it is needed to do further analysis of the Read more…
Free Full HD Desktop Wallpaper Download from Unsplash API – How to Use Unsplash API Unsplash is a website that offers users free photos to download on your desktop. Moreover, it’s a license-free user can use it for personal use. Read more…
Combining NLP Models and Creation of Custom rules using SpaCy Objective: In this article, we are going to create some custom rules for our requirements and will add that to our pipeline like explanding named entities and identifying person’s organization Read more…
Feature Selection and CNN In this project we are going to build a neural network to predict if a particular bank customer is satisfies or not. To do this we are going to use Convolutional Neural Networks. The dataset which we Read more…
Prediction of number of passengers for an airline using LSTM In this project we are going to build a model to predict the number of passengers in an airline. To do so we are going to use Recurrent Neural Networks, more Read more…
NLP Tutorial – GloVe Vectors Embedding with TF2.0 and Keras GloVe stands for global vectors for word representation. It is an unsupervised learning algorithm developed by Stanford for generating word embeddings by aggregating a global word-word co-occurrence matrix from a corpus. The Read more…
Star Rating Prediction of Amazon Products Reviews Objective In this notebook, we are going to predict the Ratings of Amazon products reviews by the help of given reviewText column. Natural Language Processing (NLP) is a sub-field of artificial intelligence that Read more…