Pinned Repositories
686xMachineLearning
CheatSheet for 6.86x
data-analysis-for-social-scientists-mitx
R scripts written for MIT's Data Analysis for Social Scientists course offered on edX.
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
MIT_6001
Lecture exercises and problem sets in MITx: 6.00.1x Introduction to Computer Science and Programming
MITx-6.419-DataAnalyisApplications
Practical content from 6.419 - Data Analysis: Statistical Modeling and Computation in Applications course from the MicroMasters in Statistics and Data Science on EdX
mitx-sds-resources
Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science
Project-1-Perceptron
sklearn-classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
Pao-MIT's Repositories
Pao-MIT/686xMachineLearning
CheatSheet for 6.86x
Pao-MIT/data-analysis-for-social-scientists-mitx
R scripts written for MIT's Data Analysis for Social Scientists course offered on edX.
Pao-MIT/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Pao-MIT/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Pao-MIT/MIT_6001
Lecture exercises and problem sets in MITx: 6.00.1x Introduction to Computer Science and Programming
Pao-MIT/MITx-6.419-DataAnalyisApplications
Practical content from 6.419 - Data Analysis: Statistical Modeling and Computation in Applications course from the MicroMasters in Statistics and Data Science on EdX
Pao-MIT/mitx-sds-resources
Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science
Pao-MIT/Project-1-Perceptron
Pao-MIT/sklearn-classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Pao-MIT/swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
Pao-MIT/tidyverse
Easily install and load packages from the tidyverse
Pao-MIT/14310xDataAnalysis
CheatSheet for 14.310x
Pao-MIT/186501xStatistics
CheatSheet for 18.6501x
Pao-MIT/6431xProbability
CheatSheet for 6.431x
Pao-MIT/cheatsheets
Official Matplotlib cheat sheets
Pao-MIT/evals
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
Pao-MIT/Flask-React-Full-Stack-App
Pao-MIT/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Pao-MIT/micromasters
Portal for learners and course teams to access MITx Micromasters® programs
Pao-MIT/mitx-machine-learning-with-python-from-linear-models-to-deep-learning
Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science
Pao-MIT/ml-tutorial
Introduction to ML packages for the 6.86x course
Pao-MIT/ollama
Get up and running with Llama 3, Mistral, Gemma, and other large language models.
Pao-MIT/point-e
Point cloud diffusion for 3D model synthesis
Pao-MIT/Project-2-Classifiers
Pao-MIT/Project-3-Neural-Networks
Pao-MIT/Project-4-EM
Pao-MIT/random-notebooks
For when I noodle around.