Alternatives and similar repositories for StatisticsForApplication_solution

Users that are interested in StatisticsForApplication_solution are comparing it to the libraries listed below

• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆908Updated 4 years ago
• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,197Updated 3 years ago
• buruzaemon / stats-110
  ☆209Updated 3 years ago
• maxim5 / cs229-2019-summer
  All notes and materials for the CS229: Machine Learning course by Stanford University
  ☆264Updated 4 years ago
• Phutoast / UCL-CSML-Notes
  My lecture notes during times at UCL.
  ☆35Updated 4 years ago
• niuers / Learning-From-Data-A-Short-Course
  Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-T…
  ☆251Updated 3 years ago
• huyfm / cs229-solution
  CS229 Solution (summer 2019, 2020).
  ☆17Updated 2 years ago
• ilmoi / MML-Book
  Code / solutions for Mathematics for Machine Learning (MML Book)
  ☆1,200Updated 4 months ago
• tonybruess / MATH51
  Collection of my assignments and work in the class MATH51 at Stanford
  ☆109Updated 11 years ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆307Updated 3 years ago
• TimboKZ / ucl-csml-cheatsheets
  Cheat sheets for UCL's 2018/19 machine learning modules
  ☆63Updated 6 years ago
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆332Updated 2 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆297Updated 5 years ago
• onmee / ISLR-Answers
  Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
  ☆176Updated 3 years ago
• dchen327 / stanford-cs221-code
  My solutions to Stanford CS221 (Artificial Intelligence) homework code problems
  ☆28Updated 5 years ago
• botlnec / islp
  Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!
  ☆35Updated last year
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 3 years ago
• maxim5 / cs224n-2020-winter
  All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
  ☆21Updated 4 years ago
• Atcold / NYU-DLSP21
  NYU Deep Learning Spring 2021
  ☆1,650Updated 2 months ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆422Updated 3 months ago
• lujiazho / MachineLearningPlayground
  Implementation of basic mathematical pattern recognition/machine learning techniques for fun
  ☆133Updated 3 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆345Updated last year
• Harvard-IACS / 2021-CS109B
  ☆47Updated 3 years ago
• bryanpjohnson / elements-statistical-learning-notes
  Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" .
  ☆39Updated 4 years ago
• YuhangZhou88 / ESL_Solution
  ☆286Updated 3 years ago
• harvard-ml-courses / cs181-textbook
  ☆271Updated 6 months ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆203Updated 3 years ago
• learning511 / cs229-assignments
  ☆193Updated 7 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆1,002Updated 4 years ago
• peteflorence / MachineLearning6.867
  My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867
  ☆348Updated last year