kd357's Stars
SharmaNatasha/Books
Free Ebooks
briandalessandro/DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
AllenDowney/BayesMadeSimple
Code for a tutorial on Bayesian Statistics by Allen Downey.
crazyhottommy/The-world-of-faculty
resources for faculty
curiousily/Machine-Learning-from-Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
hammadshaikhha/Data-Science-and-Machine-Learning-from-Scratch
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
rasbt/stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
HorizonIITM/PythonForAstronomy
Repository for Python Tutorial in Astronomy
LearnDataSci/free-data-science-learning
chaconnewu/free-data-science-books
Free resources for learning data science
rushter/data-science-blogs
A curated list of data science blogs
jonathan-bower/DataScienceResources
Open Source Data Science Resources.
FavioVazquez/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
tirthajyoti/Data-science-best-resources
Carefully curated resource links for data science in one place
MrMimic/data-scientist-roadmap
Toturials coming with the "data science roadmap" picture.
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
FederatedAI/FATE
An Industrial Grade Federated Learning Framework
gitpitch/in-60-seconds
GitPitch In 60 Seconds - A Very Short Tutorial
EricDarve/numerical_linear_algebra
Julia code for the book Numerical Linear Algebra
afshinea/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
owainlewis/awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
clever-algorithms/CleverAlgorithms
Clever Algorithms: Nature-Inspired Programming Recipes
mlajtos/moniel
Interactive Notation for Computational Graphs
fangohr/introduction-to-python-for-computational-science-and-engineering
Book: Introduction to Python for Computational Science and Engineering
haskell-numerics/hmatrix
Linear algebra and numerical computation
gokceneraslan/awesome-deepbio
A curated list of awesome deep learning applications in the field of computational biology
quinlan-lab/applied-computational-genomics
Applied Computational Genomics Course at UU: Spring 2020
CompPhysics/ComputationalPhysics
Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods and more.
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course