## Feature Engineering Tutorial Series 5: Outliers

An outlier is a data point which is significantly different from the remaining data. “An outlier is an observation which deviates so much from the other observations as to arouse suspicions that it was generated by a different mechanism.” [D. Hawkins. Identification of Outliers, Chapman and Hall , 1980.] Should Read more…

## 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…

## Feature Engineering Series Tutorial 3: Rare Labels

Labels that occur rarely Categorical variables are those whose values are selected from a group of categories, also called labels. Different labels appear in the dataset with different frequencies. Some categories appear more frequently in the dataset, whereas some other categories appear only in a few number of observations. For Read more…

## Feature Engineering Series Tutorial 1: Missing Values and its Mechanisms

Missing data, or missing values, occur when no data / no value is stored for certain observations within a variable. Incomplete data is an unavoidable problem in most data sources, and may have a significant impact on the conclusions that can be derived from the data. Why is data missing? The source of missing Read more…

## Types of Data types every Data Scientist should know

One of the central concepts of data science is gaining insights from data. Statistics is an excellent tool for unlocking such insights in data. In this post, we’ll see some basic types of data(variable) which can be present in your dataset. What is a Variable? A variable is any characteristic, 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…

## Data Visualization with Pandas

Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns, trends and correlations that might not otherwise be detected can be exposed. pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, in Python programming 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…

## Resume and CV Summarization

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, we will extract the text from a new resume and 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…

## Amazon and IMDB Review Sentiment Classification using SpaCy

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 role in translation, topic modeling, document indexing, information retrieval, and Read more…

## Processing Pipeline in SpaCy

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 words mean in context? Who is doing what to whom? Read more…

## Phone Number, Email, Emoji Extraction in SpaCy for NLP

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 the words mean in context? Who is doing what to Read more…

## Working with Text Files in Python for NLP

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 write Watch full video here: String Formatter String formatting enables Read more…

## Multi-Label Image Classification on Movies Poster using CNN

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 set of 25 genres. Each poster can have more than Read more…

## LinkedIn Auto Connect Bot with Personalized Messaging

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 suggestions of your suggestions and sends them a connection request. Read more…

## Text Summarization using NLP

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 text summarization is a common problem in machine learning and Read more…

## Credit Card Fraud Detection using CNN

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 model using CNN which predicts if the transaction is genuine Read more…