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1806

18.06 course at MIT

2021-cs109a

2021-cs109b

algorithmic-machine-learning

Public course material

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

assignments

bigdata-2018f

CS 451/651 Data-Intensive Distribute Computing (Fall 2018) at the University of Waterloo

clouds-lab

Laboratory Material for the course on Cloud Computing

colah.github.io

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cs182sp21.github.io

cs182sp22.github.io

cs224u

Code for Stanford CS224u

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs231n.github.io

Public facing notes page

cv

My CV built using RMarkdown and the pagedown package.

cvx-nb

IPython Notebooks of Convex Optimization Problems

dash-by-plotly

Interactive data analytics

data-algorithms-book

MapReduce, Spark, Java, and Scala for Data Algorithms Book

datacamp

DataCamp data-science courses

datafiles

datasci_course_materials

Public repository for course materials for the Data Science at Scale Specialization at Coursera

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-pytorch-huggingface

deep-learning-specialization

Coursera's Deep Learning Specialization offered by deeplearning.ai.

deeplearning

dj4e-samples

Django For Everybody Sample Code

eigenfaces

Using PCA and Autoencoder to extract effective features from face images. Comparison of the two on Yale Face Database B.