Scraping Reddit API using only JavaScript

In the previous article, I discussed how to plot live data from twitter using HighCharts, in this article we will see how Reddit can be scraped using only JavaScript without authorization mechanism. It is simple, easy and since we are only using Front End to fetch the data then we also don’t need a local server.

Scraping Reddit API using only JavaScript

Scraping and Visualizing Twitter Streaming API using PHP and JavaScript

Web Scrapping is one of the important way to extract data from the web, an html web page can be scrapped. Similarly, JSON or XML web service response can also be scrapped. So far there are lot of stuff written on how to scrape Twitter API but none of them have shown how to visualize the live stream API. This article will show how to use JavaScript Library HighCharts to plot a live graph.


Scraping and Visualizing Twitter Streaming API using PHP and JavaScript

Predicting the Prices of Melbourne Houses using XGBoost from Caret in R

In the previous article we used XGBoost for classification problem on the titanic dataset, in this article we will do regression on Melbourne Housing Dataset using the Extreme Gradient Boosting from the Caret Package available in R. We will predict the prices of houses and will try to get the best accuracy by avoiding over fitting issues.

Predicting the Prices of Melbourne Houses using XGBoost from Caret in R

Machine Learning on Titanic Dataset using R

After performing some data analysis on Football News Guru Data using R, I came back to one of the most fundamental dataset extracted from the Titanic disaster, you can find it on Kaggle from the name “Titanic: Machine Learning from Disaster”. The purpose of this article is to extent the Data Science Dojo Tutorial to increase the accuracy of the model.


Machine Learning on Titanic Dataset using R

Sequence to Sequence model for NLP

Sequence to Sequence model is one of the most effective model for Natural Language Processing tasks such as translation. There are very few quality papers available on this topic and today I will summarize a very effective paper titled as “Sequence to Sequence Learning with Neural Networks” written by the Google Research Team.

Sequence to Sequence model for NLP

Increasing Performance using Multi-Layer LSTM

In this tutorial, we will introduce multi-layer LSTM to increase the performance of the model. Multi-layer can also be thought as multiple LSTM units. The perplexity will be decreased slightly as compared to single LSTM unit, explained in the previous article.

Increasing Performance using Multi-Layer LSTM

Bigram Based LSTM with Regularization

In the previous LSTM tutorial, we used a single character at a time, now the bigram approach is to predict a character using two characters at a time. This tutorial will also introduce regularization technique known as Dropout in RNN.

Bigram Based LSTM with Regularization