🎓 A collection of Problem Sets for "MITx: 6.00.2x Introduction to Computational Thinking and Data Science", edX, March-May, 2021
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Updated
Jan 30, 2022 - Python
🎓 A collection of Problem Sets for "MITx: 6.00.2x Introduction to Computational Thinking and Data Science", edX, March-May, 2021
Physical and Data Link Layer funtionalities of the TCP/IP Model. Manchester Encoding, Cyclic Redundancy Check (CRC), Frame by Frame communication and plotting graphs by PyLab.
A random walk model for diffusion of a drop of dye in water.
Python code to render a latex to image, connects to mathPix API to get proper response
A simulation of Roombas cleaning a rectangular room with GUI and statistical analysis.
Python based image histogram generator and plotter
Creating a classifier for terrain dataset and calculating the accuracy using different values of C and gamma
Codes for various important numeric method computation done during the course ESO208
Python based Image Gamma Transform plotter with histogram
Creates a fixed graph and determines the shortest path in Python using NetworkX and PyLab.
Massachusetts Institute of Technology course MITx 6.00.2x "Introduction to Computational Thinking and Data Science" (Winter 2019). An introduction to using computation to understand real-world phenomena. John Guttag, Professor of CS and EE, Massachusetts Institute of Technology. Part 2 of »Computational Thinking using Python« XSeries® program on…
Creating a classifier for email sent by two persons and calculating the accuracy using SVM. Plotting the dataset.
Projects and Exercises created on the Course: Introduction to Computational Thinking and Data Science (MITx 6.00.2x) provided by the Massachusetts Institute of Technology (MIT) on EDX platform.
Gráficas hechas en python
Problem set solutions for MITx: 6.00.2x (Introduction to Computational Thinking and Data Science), intermediate MOOC course
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