https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016

https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/index.htm

My first repository related to Data Science and Machine Learning. The repository contains the issues discussed during MIT Open Course: 6.0002 - Introduction to Computational Thinking and Data Science.

My solutions to the assignments of MIT 6.0002 course.

My solutions to the problem sets for the MIT 6.0002 OpenWare course Introduction to Computational Thinking and Data Science. The full course can be found here : https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/

Introduction to Computational Thinking and Data Science

Problem Set #1 (MIT OCW 6.0002)

Problem set solutions for MIT OpenCourseware 6.0002

This repository tracks my progress through the MIT 6.0002 course. It includes problem set write-ups, reflections, and selected code snippets. This course is part of my continued learning in algorithmic problem-solving, optimization, and simulation for bioinformatics and therapeutic development.

MIT 6.0002 programs in C++

Problem Set #2 (MIT OCW 6.0002)

Psets from 6.00 (6.0001 + 6.0002) at MIT

MIT OpenCourseWare - Introduction to Computational Thinking and Data Science

My solutions to the assignments of MIT OCW 6.0002

My solution to the assignments of 6.0002 of MIT OCW.

MIT 6.0002 Introduction to Computational Thinking and Data Science assignments solutions

My solutions to the assignments of MIT OCW 6.0001 and 6.0002.

Solutions to MIT 6.0002 Introduction to Computational Thinking and Data Science Problem Sets

Coursework from MIT 6.0002 - Introduction to Computational Thinking and Data Science

Solutions to assignments from MIT OCW's course 6.0002, written in python.

6.0001: Introduction to Computer Science and Programming in Python. 6.0002: Introduction to Computational Thinking and Data Science

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag

Scholastically simulates bacteria population in a patient with and without antibiotic

Analyzing the temperature changes trend across 22 US cities over 55 years

Simulates dirty rooms (with/out furniture) and robot types using Python classes. Animates cleaning action

hosted projects from MIT's university computer science course 6.00, 6.0001, 6.0002 all projects are written in Python 2.5.x and 3.x.x

This is my repository for solving computational and optimization problems inluded in the MIT edx 6.0002 | Undergraduate Introduction To Computational Thinking And Data Science course

Assignment 3 MIT 6.0002

MIT OCW 6.0002 solutions

MIT 6.0002 강의 과제