Usman Malik

Articles: 70

Joined: Apr 17, 2018

Programmer | Blogger | Data Science Enthusiast | PhD To Be | Arsenal FC for Life

Recently published

Article

Text Classification with Python and Scikit-Learn

Text classification is one of the most important tasks in Natural Language Processing. It is the process of classifying text strings or documents into different categories, depending upon the contents of the strings. Text classification has a variety of applications, such as detecting user sentiment from a tweet, classifying an...

Usman Malik

Aug 27, 2018·19 min read

Article

Using Regex for Text Manipulation in Python

Text preprocessing is one of the most important tasks in Natural Language Processing (NLP). For instance, you may want to remove all punctuation marks from text documents before they can be used for text classification. Similarly, you may want to extract numbers from a text string. Writing manual scripts for...

Usman Malik

Aug 17, 2018·14 min read

Article

Association Rule Mining via Apriori Algorithm in Python

Association rule mining is a technique to identify underlying relations between different items. Take an example of a Super Market where customers can buy variety of items. Usually, there is a pattern in what the customers buy. For instance, mothers with babies buy baby products such as milk and diapers....

Usman Malik

Aug 09, 2018·19 min read

Article

Cross Validation and Grid Search for Model Selection in Python

A typical machine learning process involves training different models on the dataset and selecting the one with best performance. However, evaluating the performance of algorithm is not always a straight forward task. There are several factors that can help you determine which algorithm performance best. One such factor is the...

Usman Malik

Jul 24, 2018·18 min read

Article

Linear Discriminant Analysis (LDA) in Python with Scikit-Learn

In our previous article Implementing PCA in Python with Scikit-Learn, we studied how we can reduce dimensionality of the feature set using PCA. In this article we will study another very important dimensionality reduction technique: linear discriminant analysis (or LDA). But first let's briefly discuss how PCA and LDA differ...

Usman Malik

May 22, 2018·9 min read

Article

Principal Component Analysis (PCA) in Python with Scikit-Learn

With the availability of high performance CPUs and GPUs, it is pretty much possible to solve every regression, classification, clustering and other related problems using machine learning and deep learning models. However, there are still various factors that cause performance bottlenecks while developing such models. Large number of features in...

Usman Malik

May 10, 2018·14 min read