Feature Engineering Tutorial Series 4: Linear Model Assumptions

Linear models make the following assumptions over the independent variables X, used to predict Y: There is a linear relationship between X and the outcome Y The independent variables X are normally distributed There is no or little co-linearity among the independent variables Homoscedasticity (homogeneity of variance) Examples of linear Read more…

Matplotlib Crash Course

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. It is a cross-platform library for making 2D plots from data in arrays. It can be used in Python and IPython shells, Jupyter notebook and web application servers also. Matplotlib is written in Python and makes Read more…

Pandas Crash Course

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 package and its key data structure is called the DataFrame. Read more…

Word Embedding and NLP with TF2.0 and Keras on Twitter Sentiment Data

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 sentences. Machine learning and deep learning algorithms only take numeric Read more…

Text Generation using Tensorflow, Keras and LSTM

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 set of input words. We are going to train the Read more…

IMDB Review Sentiment Classification using RNN LSTM

Sentiment Classification in Python In this notebook we are going to implement a LSTM model to perform classification of reviews. We are going to perform binary classification i.e. we will classify the reviews as positive or negative according to the sentiment. Recurrent Neural Network Neural Networks are set of algorithms Read more…