"Thank you Ilya for pointing out the figure 2 color scale calibration. I updated figure 2 after specifying the vmin and vmax for the sklearn correlations heatmap. Good catch!!"
Gifts Received
Murali Kashaboina has not received any gifts yet
Murali Kashaboina's Page
Latest Activity
"Hi! I found it great job you did!
However, the figure 2 is somehow misleading - it will be much more illustrative if the color scale would be the same for each separate chart (from -1 to 1) rather then based on local min/max values as it is now."
Simple Correlational Analysis on Socioeconomic Factors Impacting Covid-19 Outbreak in US Counties
BackgroundAs part of my PhD work, I recently had to analyze any dataset(s) of my interest and present findings. I ended up conducting a study on US County-wise Covid-19 data. I wanted to share my key findings through this blog.Study QuestionThe primary question I wanted to address through data analysis was “Do counties’ socioeconomic factors such as population size, poverty rate, unemployment rate, education percent and urbanization rate have any direct impact on the Covid-19 outbreak across…See More
Key Graph Based Shortest Path Algorithms With Illustrations - Part 2: Floyd–Warshall's And A-Star Algorithms
In part 1 of this article series, I provided a quick primer on graph data structure, acknowledged that there are several graph based algorithms with the notable ones being the shortest path/distance algorithms and finally illustrated Dijkstra’s and Bellman-Ford algorithms. Continuing with the shortest path/distance algorithms, I have illustrated Floyd-Warshall and A* (A-Star) algorithms in this part 2 of the article. As was stated in part 1, while the inner workings of these algorithms are…See More
Profile Information
- Company:
- Entrigna, Inc.
- Job Title:
- Chief Data Scientist
- Seniority:
- Executive
- Job Function:
- Data Science, Machine Learning, AI, Business Analytics, Deep Learning, Blockchain, BI, IoT
- Industry:
- Prescriptive and Cognitive Services and Apps
- Short Bio:
- Murali brings over 18 years of IT experience in real-time technologies and data science. Prior to founding Entrigna, Murali was the Managing Director of Enterprise Architecture at United Airlines and was the technical lead in the merger with Continental. Murali holds a Masters’ degree in Mechanical Engineering from University of Dayton, Ohio
- LinkedIn Profile:
- http://www.linkedin.com/in/kbmurali/
- Interests:
- Contributing, Networking
Murali Kashaboina's Blog
Simple Correlational Analysis on Socioeconomic Factors Impacting Covid-19 Outbreak in US Counties
Posted on June 20, 2020 at 3:16pm 2 Comments 4 Likes
Background
As part of my PhD work, I recently had to analyze any dataset(s) of my interest and present findings. I ended up conducting a study on US County-wise Covid-19 data. I wanted to share my key findings through this blog.
Study Question
The primary question I wanted to address through data analysis was “Do counties’ socioeconomic factors such as population size, poverty rate, unemployment rate, education percent and…
ContinueKey Graph Based Shortest Path Algorithms With Illustrations - Part 2: Floyd–Warshall's And A-Star Algorithms
Posted on January 25, 2020 at 2:29am 0 Comments 1 Like
In part 1 of this article series, I provided a quick primer on graph data structure, acknowledged that there are several graph based algorithms with the notable ones being the shortest path/distance algorithms and finally illustrated Dijkstra’s and Bellman-Ford algorithms. Continuing with the shortest path/distance algorithms, I have illustrated Floyd-Warshall and A* (A-Star) algorithms in this part 2 of the article. As was stated in part 1, while the inner workings of these algorithms are…
ContinueKey Graph Based Shortest Path Algorithms With Illustrations - Part 1: Dijkstra's And Bellman-Ford Algorithms
Posted on January 14, 2020 at 3:00pm 0 Comments 3 Likes
While many of the programming libraries encapsulate the inner working details of graph and other algorithms, as a data scientist it helps a lot having a reasonably good familiarity of such details. A solid understanding of the intuition behind such algorithms not only helps in appreciating the logic behind them but also helps in making conscious decisions about their applicability in real life cases. There are several graph based algorithms and most notable are the shortest path…
ContinueComment Wall
- No comments yet!
Resources
Videos
© 2020 TechTarget, Inc.
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
