
Clustering using R
Clustering is a machine learning technique that enables researchers and data scientists to partition and segment data.
Read MoreIt’s Krishnamita, an enthusiastic B.Tech grad in Computer Science having skills in various domains, who loves to learn new things and implement it in innovative ways. I love to solve problems, it’s my passion. Well recognised for maintaining cordial relationships and able to contribute as individual as well as in team. I have sound knowledge in Data Science, Machine Learning, Big Data Analytics and also in Application Development. Currently I’m learning Web Development to take my existing skills to the next level. Stay connected with me…………😊
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I worked with various Data Science tools like R, Python, and powerful analytics tool like Power BI to solve business problems. Currently I’m learning to deploy models using Shiny and Flask framework.
June 2019-November 2019
I worked on Computer Vision, specifically in finding the Image aesthetic value using CNN architecture(GoogleNet). I also worked on object detection from images and videos.
January 2019-February 2019
I was in the C&IT department, I’ve observed and learnt their work ethics and how they manage that huge amount of data generated regularly using Prolog and SAP.
2016-2020
CGPA: 8.52
2014-2016
Percentage: 78.5%
2003-2014
CGPA: 9.6
Clustering is a machine learning technique that enables researchers and data scientists to partition and segment data.
Read MorePython is a powerful general-purpose programming language. It is used in web development, data science, creating software prototypes, and so on. Fortunately for beginners, Python has simple easy-to-use syntax. This makes Python an excellent language to learn to program for beginners.
Read MorePandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.
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I would like to thank Softanbees for guiding me throughout the entire course, and for making me understand all the concepts thoroughly. I would like to extend my gratitude to Avijit Mallick Sir who guided me with his enormous experience in technical field, Bratin Das Sir who taught me the basics, Rishikesh Chakraborty for technical assistance and Surya Ghosh Sir for constant support and personal development. Thanks for your great support and guidance.