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100-days-of-ml

100 Days of ML Coding

2019-cs109a

https://harvard-iacs.github.io/2019-CS109A/

2019-cs109b

2020-cs109a

2020-cs109b

2021-cs109b

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

6.419x_report_template

Auto-generation of templates for written reports for 6.419x Data Analysis: Statistical Modeling and Computation in Applications

abc

abc-codes

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

adv-r

Advanced R: a book

advanced-datar

Advanced Data Science 2020 Edition

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advanced-deep-learning-with-r

Advanced Deep Learning with R, published by Packt

advanced-did

Advanced Differnce-in-Differences Mixtape Track

advanced-pymc3

adventr

adventr: tutorials in R for An Adventure in Statistics (Field, 2016)

aftmodel

STAN files for fitting an accelerated failure time model, part of a paper submission

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

algorithm-design-manual-python

Python translation of algorithm design manual C code.

algorithms-python

Slides and Python files used in my CS22 videos on youtube

algorithms_in_ipython_notebooks

A repository with IPython notebooks of algorithms implemented in Python.

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

all-python-codes-of-ztm-course-by-andrei-neagoie

aman-deep-learning-

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

amazon-sagemaker-studio

Getting Started with Amazon SageMaker Studio, published by Packt

analysis-of-factorial-designs-for-psychologists

Lesson files used in the Analysis of Factorial Designs for Psychologists - Practical Applications in R, taught at Ben-Gurion University on the Negev

anatomyofmatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

andreas-ml-python

Notebooks and code for the book "Introduction to Machine Learning with Python"