tuthang102 / MIT-6.0001-Intro-to-CSLinks
The materials of the course can be found here: https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/index.htm
☆70Updated 3 years ago
Alternatives and similar repositories for MIT-6.0001-Intro-to-CS
Users that are interested in MIT-6.0001-Intro-to-CS are comparing it to the libraries listed below
Sorting:
- My answers for the assignments in MIT OCW 6.0001: Introduction to Computer Science and Programming in Python☆40Updated 2 weeks ago
- MIT OCW 6.0001 Introduction to Computer Science and Programming in Python☆28Updated 6 years ago
- https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fa…☆17Updated 5 years ago
- Assignments (Python) in Algorithms Courses of Stanford University at Coursera☆61Updated 5 years ago
- Solutions to assignments of CS106B Stanford☆40Updated 8 years ago
- The repository is to document skills that a data scientist needs to acquire☆19Updated this week
- https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-spring-2015/☆30Updated 6 years ago
- Course notes and assignments in the Algorithms specialization from Stanford University on Coursera☆18Updated 5 years ago
- Mining Massive Data Sets, taught by Jure Leskovec☆13Updated 5 years ago
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆194Updated last year
- Notebook for quick search☆100Updated 4 years ago
- The offical notes of Andrew Ng Machine Learning in Stanford University☆289Updated 3 years ago
- ☆195Updated 2 years ago
- 🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques☆81Updated 6 years ago
- Implementation of basic mathematical pattern recognition/machine learning techniques for fun☆123Updated 2 years ago
- Implementations: Coursera Stanford Algorithms Specialization☆47Updated 5 years ago
- PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization☆153Updated 4 years ago
- Math 54, Spring 2020☆23Updated 2 years ago
- A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera☆280Updated 2 years ago
- A set of practice and demo code of Accelerated Computer Science Fundamentals Specialization on Coursera☆45Updated 5 years ago
- MITx: 6.00.1x Introduction to Computer Science and Programming Using Python☆122Updated 4 years ago
- ☆172Updated 6 years ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆228Updated 3 years ago
- Structure and Interpretation of Computer Programs☆335Updated 4 years ago
- Notebook for quick search☆84Updated 7 years ago
- Stanford CS106B☆162Updated 8 years ago
- Solutions for All of Statistics by Wasserman☆12Updated 4 years ago
- University of Michigan on Coursera☆38Updated 4 years ago
- To help python programmers experiment and learn. All algorithms implemented from scratch in jupyter notebook.☆116Updated 5 years ago
- My Answer to 120 Data Science Interview Questions☆503Updated 4 years ago