Developing a genetic algortihm

So, the idea is this. Let’s take the law of nature and use it an optimization tool. Seems brilliant. And it my opinion, it is. The law of nature I am talking about here is evolution. And if you carefully look at it, evolution is really an optimization mechanism. The further step which was made was putting the evolution into computer. Only here the things...

7h

Developing a recommender system

Recommender systems are used, for example, to recommend you products you would maybe like to buy based on the products you bought or looked at and which people similar to you bought or looked at.Problem can be stated like this. We have many products and we have to sort them by some measure (let’s call it a level of recommendation measure) so they are...

7h

Making a d3.js scatter-plot interactive — part two

Making a d3.js scatter-plot interactive — part twoThis tutorial picks up from a previous tutorial. As a reminder, this is what the data structure looks like:Poverty Rate is the y-axis value and the indicator in the last column is the x-axis value and changes with each dataset.In the previous tutorial, we changed the Province value but in this tutorial,...

7h

How Important is Numpy Library in Data Science?

What is numpy?NumPy stands for Numerical Python. It is a python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices.Why we use Numpy?NumPy uses much less memory to store data. NumPy arrays takes significantly less amount of memory as compared to python lists. It also provides...

9h

Image Processing Fundamentals

Image processing is vast enough and even I am learning it while writing the post, I will be summarizing what I learn everyday, and add it…Continue reading on Analytics Vidhya »

9h

Forecasting Time Series with Multiple Seasonal Patterns in R

Time Series Forecasting — Multiple Seasonal Data!!Continue reading on Analytics Vidhya »

9h

Exploring New York City to Open an Indian Restaurant

This post deals with the Capstone Project in the IBM Applied Data Science Capstone Course hosted on Coursera. The project makes use of the knowledge gained from the previous courses in the Specialization and applies that to solve a real world data driven problem.1. INTRODUCTIONI am using the hypothetical scenario for a concept Indian Entrepreneur who...

10h

Dummy Variable -A Real Trap

Photo by michael podger on Unsplash“A trap is only a trap if you don’t know about it. If you know about it, it’s a challenge.”What is a Dummy variable?In general, during regression analysis , the explanatory variable (independent variable ) is assumed to be quantitative(numeric) in nature . For example variables like age, experience , salary etc are...

10h

11 Essential Neural Network Architectures, Visualized & Explained

Standard, Recurrent, Convolutional, & Autoencoder NetworksContinue reading on Analytics Vidhya »

10h

The Data Science ABCs: A Whirlwind Tour of the Field

A is for AUC, B is for Batch Normalization…Continue reading on Analytics Vidhya »

10h