Harsh Patel

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Paul Wilmott on Quantitative Finance, Chapter 15, Binomial model

Quantitative Finance & Python Programming | Yves Hilpisch

8 npm Tricks You Can Use to Impress Your Colleagues

You watch a colleague coding, there’s a shorthand or trick being applied, somehow you’re not familiar with it and your mind blows away. Happens to …

2 Ways to Implement Multinomial Logistic Regression In Python

Implementing Multinomial Logistic Regression in Python Logistic regression is one of the most popular supervised classification algorithm. This …

Introduction to web scraping with Python - Data, what now?

Data is the core of predictive modeling, visualization, and analytics. Unfortunately, the needed data is not always readily available to the user, it …

How to Rank 10% in Your First Kaggle Competition

Introduction<p>Kaggle is the best place to learn from other data scientists. Many companies provide data and prize money to set up data science …

Introducing Kaggle Datasets

At Kaggle, we want to help the world learn from data. This sounds bold and grandiose, but the biggest barriers to this are incredibly simple. <b>It’s</b> …

Playing with dimensions: from Clustering, PCA, t-SNE… to Carl Sagan!

(This article was first published on <b>R - Data Science Heroes Blog</b>, and kindly contributed to R-bloggers)<p>Hi there! This post is an experiment combining …

Intuitive Linear Regression for Machine Learning

In this article, we will go through the intuition of linear regression and a straightforward implementation of the algorithm. This article is adapted …

January New Data Packages

elevatr v0.1.1: Provides access to several databases that provide elevation data, including Mapzen Elevation Service, Mapzen Terrain Service, Amazon …

Optimization and Operations Research in R

(This article was first published on <b> R Blog</b>, and kindly contributed to R-bloggers)<i>Authors: Stefan Feuerriegel and Joscha Märkle-Huß</i>R is widely taught …

What is the most popular language for machine learning?

When it comes to machine learning and data science, there are so many language options to choose from. Data scientist Jean-Francois Puget does some …

An Introduction to Spatial Econometrics in R

(This article was first published on <b>Ignacio Sarmiento Barbieri</b>, and kindly contributed to R-bloggers)<p>This tutorial was prepared for the Ninth Annual …

R Tutorial: Visualizing Multivariate Relationships in Large Datasets

(This article was first published on <b>r ? R Statistics and Programming</b>, and kindly contributed to R-bloggers)<p>R Tutorial: Visualizing multivariate …

Data Science

Neural face recognition network tuned with 650,000 pornstar images

A facial recognition startup called Pornstar.ID, a reverse-image lookup for identifying porn actors, has trained its neural network on upwards of …

Social Media

Twitter sentiment analysis with Machine Learning in R using doc2vec approach

(This article was first published on <b>R language – AnalyzeCore – data is beautiful, data is a story</b>, and kindly contributed to R-bloggers)<p>Recently I’ve …

Natural Language Processing

Open CSV File and Chart CSV Data

Often data becomes available to us in formats other than Excel workbooks, such as CSV data files. A CSV (Comma-Separated-Value) file is a simple text …

Factor Analysis Introduction with the Principal Component Method and R

(This article was first published on <b>R – Aaron Schlegel</b>, and kindly contributed to R-bloggers)<p>Factor analysis is a controversial technique that …

Poor Donald – his tweets keep getting more negative

(This article was first published on <b>jacobsimmering.com</b>, and kindly contributed to R-bloggers)<p>Last summer, David Robinson did this interesting text …

Using R to study tennis players

(This article was first published on <b> R and Finance</b>, and kindly contributed to R-bloggers)Looking at winning records of ATP top players and Brazilian …