Publications by Ramnivas Singh
Data606 Homework3
Dice rolls. (3.6, p. 92) If you roll a pair of fair dice, what is the probability of getting a sum of 1? getting a sum of 5? getting a sum of 12? Answer: (a) 0, each dice has smallest number as 1 (b) First dice to roll 4 times to get (1,2,3,4) Second dice to roll 4 times to get (1,2,3,4). Sum of these numbers will make 5 1+4=5 2+3=5 3+2=5 4+1=...
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Week 9 Assignment: Web APIs
Problem Statement Extracting content from diversified web resources, cleaning up the raw data, preparing them for the statistical analysis and actually performing the analysis it is far from being a simple task. The New York Times web site provides a rich set of APIs, as described here: https://developer.nytimes.com/api . Task is to choose one of...
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Project 3 : Most Valued Data Science Skills
1.0 Summary Data scientists are highly educated – 88% have at least a Master’s degree and 46% have PhDs – and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist. Each data scientist is expected to be equipped with most valuable skill...
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Week 7 Assignment : Working with XML and JSON in R
Problem Statement Working with XML and JSON in R - Pick three of your favorite books on one of your favorite subjects. At least one of the books should have more than one author. For each book, include the title, authors, and two or three other attributes that you find interesting. Take the information that you’ve selected about these three boo...
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Project 2: Data Transformation | Ramnivas Singh | Deepak Sharma | Tage Singh
Objective The goal of this project is to prepare different datasets for downstream analysis work.We have to choose three of the “wide” datasets identified in the Week 5, transform the data, perform analysis, and have a conclusion. Acceptance Criteria For each of the three chosen datasets: Create a .CSV file that includes all of the informa...
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Assignment 5 - Tidying and Transforming Data
Summary The chart below describes arrival delays for two airlines across five destinations. Counts of status - ‘on time’ and ‘delayed’ is given in the table for each airlines. Key objective is to tidying and transforming this data. Acceptance criteria and solution approach is described in next sections. Acceptance Criteria Create a .CSV...
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Week 10 Assignment : Sentiment Analysis
Summary Tidy data principles can be applied to natural language processing. When text is organized in a format with one token per row, tasks like removing stop words or calculating word frequencies are natural applications of familiar operations within the tidy tool ecosystem. Sentiment analysis provides a way to understand the attitudes and opin...
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Discussion/Assignment 12: Recommender Systems
Netfix The amazing digital success story of Netflix is incomplete without the mention of its recommender systems that focus on personalization. With over 139 million paid subscribers(total viewer pool -300 million) across 190 countries, 15,400 titles across its regional libraries and 112 Emmy Award Nominations in 2018 — Netflix is the world’s...
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DATA 605 : Assignment Week3
# Load the library library(pracma) library(Matrix) Problem set 1 (1). What is the rank of the matrix A? \[\begin{bmatrix} 1 & 2 & 3 & 4 \\ -1 & 0 & 1 & 3 \\ 0 & 1 & -2 & 1 \\ 5 & 4 & -2 & -3 \\ \end{bmatrix}\] Solution : Rank Matrix for given problem is : # The rank is how many rows are unique i.e not made of other rows. Likewise for col...
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Image Manipulation
One of the most useful applications for linear algebra in data science is image manipulation. We often need to compress, expand, warp, skew, etc. images. To do so, we left multiply a transformation matrix by each of the point vectors. For this assignment, build the first letters for both your first and last name using point plots in R. Then, writ...
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