synicalsyntax / 6.0001

Related projects: ⓘ

• jflaga / mit-ocw-6.0001
  My answers for the assignments in MIT OCW 6.0001: Introduction to Computer Science and Programming in Python
  ☆41Updated 7 years ago
• mhmoud-ashraf / MIT-6.0001-Introduction-to-Computer-Science-and-Programming-in-Python
  Problem sets for MIT 6.0001 Introduction to Computer Science and Programming in Python, Fall 2016
  ☆14Updated 5 years ago
• rickwierenga / CS229-Python
  Exercises and solutions to Stanford CS229 Machine Learning in Python
  ☆183Updated 11 months ago
• zhangqi-chen / Algorithms-Stanford
  Assignments (Python) in Algorithms Courses of Stanford University at Coursera
  ☆60Updated 4 years ago
• Peacock-Biscuit / MSSTAT
  Repository for my master's degree graduation work
  ☆16Updated 2 years ago
• maxim5 / cs230-2018-autumn
  All lecture notes, slides and assignments for CS230 course by Stanford University.
  ☆41Updated 3 years ago
• CoveredInChocolate / AllStatistics
  Solutions for All of Statistics by Wasserman
  ☆10Updated 3 years ago
• tm1611 / Machine-Learning-Engineer-Nanodegree
  Notes and material for the "Machine Learning Engineer Nanodegree" (MLND) by Udacity.
  ☆68Updated 4 years ago
• PavlosIsaris / Coursera-Machine-Learning-Foundations-A-Case-Study-Approach
  Course material and assignment repository for the "Machine Learning Foundations: A Case Study Approach" on Coursera.
  ☆11Updated 4 years ago
• maxim5 / cs229-2019-summer
  All notes and materials for the CS229: Machine Learning course by Stanford University
  ☆179Updated 3 years ago
• agniiyer / Applied-Machine-Learning-in-Python
  University of Michigan on Coursera
  ☆55Updated 5 years ago
• ccombier / stanford-CS229
  ☆404Updated this week
• mxc19912008 / Andrew-Ng-Machine-Learning-Notes
  The offical notes of Andrew Ng Machine Learning in Stanford University
  ☆278Updated 2 years ago
• inahpatrizia / isye_6740
  Homework assignments for ISYE 6740 Computational Data Analysis (Spring 2022)
  ☆10Updated last year
• veb-101 / Numpy-Pandas-Matplotlib-Tutorial
  Tutorial notebooks on numpy, pandas and matplotlib.
  ☆36Updated 4 years ago
• dchen327 / stanford-cs221-code
  My solutions to Stanford CS221 (Artificial Intelligence) homework code problems
  ☆26Updated 4 years ago
• suraggupta / coursera-machine-learning-solutions-python
  A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera
  ☆278Updated last year
• TangJiahui / 6.036_Machine_Learning
  Repo for MIT 6.036 Machine Learning
  ☆22Updated 3 years ago
• sharmaroshan / Statistics-for-Data-Science
  Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …
  ☆116Updated 10 months ago
• hsharifi7 / GT-MGT6203
  ☆12Updated 4 years ago
• ertsiger / coursera-mathematics-for-ml
  Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.
  ☆138Updated 3 years ago
• pranavanand24 / Artificial-Intelligence-And-Data-Science-Pro
  ☆412Updated this week
• kushagra06 / CS221_AI
  🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques
  ☆71Updated 5 years ago
• s-ai-kia / CS229_ML
  ☆361Updated this week
• xuefeng-xu / CS229-Fall-2018-Problem-Solutions
  ☆77Updated this week
• SuvroBaner / Python-for-Data-Science-and-Machine-Learning-Bootcamp
  ☆147Updated 7 years ago
• launchcode01dl / deeplearning.ai-coursera
  ☆38Updated this week
• rmarquis / coursera-machinelearning
  Stanford University - Machine Learning by Andrew Ng
  ☆86Updated 5 years ago
• VSerpak / DSE210x-Statistics-and-Probability-in-Data-Science-using-Python
  UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python
  ☆61Updated 6 years ago
• gauravgraj91 / Data-Science-Books-1
  ☆59Updated 6 years ago