Sam H Jr's repositories
ml-tutorial
Introduction to ML packages for the 6.86x course
6.419-jupyterbook
A Jupyter Book template for written reports for MIT 6.419x Data Analysis: Statistical Modeling and Computation in Applications
awesome-AI-books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
cheatsheets
RStudio Cheat Sheets
cs231n.github.io
Public facing notes page
cvxpy
A Python-embedded modeling language for convex optimization problems.
docs
TensorFlow documentation
financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
flutter-tutorials
The repo contains the source code for all the tutorials on the FilledStacks Youtube channel.
from-python-to-numpy
An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
INSEADAnalytics
Evgeniou's class
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
Mastering-Python-for-Finance-Second-Edition
Mastering Python for Finance – Second Edition, published by Packt
MITx_6.86x
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
pycaret
An open source, low-code machine learning library in Python
pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Python-for-Finance-Cookbook
Repository of Python for Finance Cookbook, published by Packt
r-without-statistics
R Without Statistics Book
swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
tidy-text-mining
Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
tufte-css
Style your webpage like Edward Tufte’s handouts.
vision
Datasets, Transforms and Models specific to Computer Vision
zero_to_gpt
Go from no deep learning knowledge to implementing GPT.