Hey There ! This is Abhijit Tripathy Here

I have the attitude of a learner, the courage of an entrepreneur and the thinking of an optimist,engraved inside me. I wish to be a leader in my community of people. My interest lies in writing both technical/non-technical blogs and teaching people with some skills. I am a hardcore programmer, a Machine Learning enthusiast and an Opensource contributor. My hobbies include Graphic Designing, Reading Novels, Journals and listening to music. From an engineering perspective, I have chosen "Data Science and Machine" Learning as my specialization fields.
My Technical Articles can be viewed below,

My Technical Articles

  1. Transitive Closure of A Graph Using Floyd Warshall Algorithm

  2. OpenGenus IQ

    This article briefly explains about transitive closure and the Floyd Warshall Algorithm. It also contains the application of Floyd Warshall in determining the transitive closure of a given graph.

  3. Survival Analysis: Censoring of Data

  4. Medium.com

    This article is all about survival Time for any Data Analysis Model, Censored Data and the types of Censored data with real life Examples.

  5. .norm() Method Of NumPy in Python

  6. OpenGenus IQ

    In this article, you will know about vector norm and the method to apply them in Python by using the Linear Algebra module of the NumPy library.

  7. Construct the Cypher string based on the given conditions

  8. GeeksForGeeks

    Given a number N, the task is to convert the given number into Cypher string on the basis of the given conditions.

  9. Tic Tac Toe GUI In Python using PyGame

  10. GeeksForGeeks

    Pygame is a cross-platform set of Python modules designed for writing video games. It includes computer graphics and sound libraries designed to be used with the Python programming language.

  11. Data Manipulation in Python using Pandas

  12. GeeksForGeeks

    In Machine Learning, the model requires a dataset to operate, i.e. to train and test. But data doesn’t come fully prepared and ready to use. There are discrepancies like “Nan”/ “Null” / “NA” values in many rows and columns. Sometimes the data set also contains some of the row and columns which are not even required in the operation of our model. In such conditions, it requires proper cleaning and modification of the data set to make it an efficient input for our model. We achieve that by practicing “Data Wrangling” before giving data input to the model.

  13. Caesar Concatenation

  14. GeeksForGeeks

    This problem is an application of "Caesar Cipher" in Cryptography. Basically it focuses on a problem in the string where the string changes according to the given encryption rule.

  15. Data Handling From Different File Types And Basic Database Manipulation Using Python

  16. Medium.com

    This article holds the methods to handle data and load data from different file types like CSV, EXCEL, JSON and about querying simple SQL database using Python.

  17. Microeconomics Knapsack — Supply-Demand Curve and Market Equilibrium

  18. Medium.com

    This article flows over the Market Equilibrium and discusses it by associating some real-life conditions with the Supply and Demand Curve.

  19. Data Wrangling #1— Creating A Dataframe And Getting The Required Informations Out

  20. Medium.com

    This post on medium focuses mostly on three things,Creating a dataframe object using pandasGetting statistical information about your dataframeAdding series object as row, to the dataframe object.

  21. Binary Search Algorithm

  22. Quora.com

    This article includes the C++ and Python code for the basic Binary Search Algorithm.

  23. Linear Search Algorithm

  24. LinkedIn

    I have outlined the pretty basic algorithm for programmers, known as "Linear Search".

  25. Software Engineering - A Technical Overview

  26. Computer Science and Softwares

    This article contains brief notes on “Software Engineering” as a part of CSE (Computer Science and Engineering).

  27. Machine Learning and Deep Learning - An Introduction in theoretical approach

  28. Computer Science and Softwares

    The article contains brief notes on “Machine learning and Deep Learning” as a part of AI (Augmented Intelligence)