python – Page 3 – PolarSPARC

Introduction to Deep Learning – Part 5

In Part-5 of the Deep Learning series, we will continue our journey with the popular open source Deep Learning framework called PyTorch to create our first Linear model.

Here is the link to the Part-5 article on Deep Learning:

Introduction to Deep Learning – Part 5

Enjoy 🙂 !!!

Introduction to Deep Learning – Part 4

In Part-4 of the Deep Learning series, we will start to get our hands dirty with the popular open source Deep Learning framework called PyTorch.

Here is the link to the Part-4 article on Deep Learning:

Introduction to Deep Learning – Part 4

Enjoy 🙂 !!!

Introduction to Deep Learning – Part 3

In Part-3 of the Deep Learning series, we will implementation our own version of a Perceptron and a Neural Network, to get a better grasp on the inner workings of a Neural Network.

Here is the link to the Part-3 article on Deep Learning:

Introduction to Deep Learning – Part 3

Enjoy 🙂 !!!

Document Similarity using NLTK and Scikit-Learn

Document Similarity is the Natural Language Processing (NLP) process of determining if two documents belong to a similar category or topic.

In this article, we will get our hands dirty by performing Document Similarity using NLTK and Scikit-Learn on a simple data set.

Here is the link to the article on Document Similarity:

Enjoy 🙂 !!!

Textual Sentiment Analysis using NLTK and Scikit-Learn

Sentiment Analysis is the Natural Language Processing (NLP) process to determine if a customer opinion is positive or negative.

In this article, we will get our hands dirty by performing Sentiment Analysis using NLTK and Scikit-Learn on the Kaggle Restaurant Reviews data set.

Here is the link to the article on Sentiment Analysis:

Textual Sentiment Analysis using NLTK and Scikit-Learn

Enjoy 🙂 !!!

Feature Extraction for Natural Language Processing

To apply Machine Learning techniques to NLP, one needs to perform Feature Extraction from the text documents in the Corpus. In this article we explore the approaches to performing Feature Extraction.

Here is the link to the article on NLTK:

Feature Extraction for Natural Language Processing

Enjoy 🙂 !!!

Basics of Natural Language Processing using NLTK

Natural Language Toolkit (NLTK) is a popular Python open source Natural Language Processing (NLP) library that allows one to perform various language processing tasks.

Here is the link to the article on NLTK:

Basics of Natural Language Processing using NLTK

Enjoy 🙂 !!!

Introduction to Apache Parquet

Apache Parquet is an efficient open source data storage format that works well with various Data Processing Frameworks.

Here is the link to the article on Apache Parquet:

Introduction to Apache Parquet

Enjoy 🙂 !!!

Using Python APScheduler

APScheduler is an elegant and popular Python open source library that allows one to schedule jobs (or tasks), which can be executed on a regular periodic basis such as hourly, daily, weekly, etc.

Here is the link to the article on APScheduler:

Using Python APScheduler

Enjoy 🙂 !!!

Machine Learning – Support Vector Machines using Scikit-Learn

In this article series, we will get our hands dirty with Support Vector Machines (SVM) using Scikit-Learn. We will use the use the Heart Failure clinical records data set from UCI to predict death event.

Here is the link to the article:

Machine Learning – Support Vector Machines using Scikit-Learn

Enjoy 🙂 !!!