Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
30-Days-Of-Python
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
airbnb-engineering
amazon-sagemaker
amazon-sagemaker-keras-text-classification
A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker
avenir
Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/
awesome-mlops
A curated list of references for MLOps
awesome-product-management
A curated list of awesome resources for product/program managers to learn and grow.
Build2020_DigitalSwag
Repository for Build 2020 Digital Swag
buildkit
concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
KarenKYu's Repositories
KarenKYu/100-Days-Of-ML-Code
100 Days of ML Coding
KarenKYu/30-Days-Of-Python
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
KarenKYu/awesome-product-management
A curated list of awesome resources for product/program managers to learn and grow.
KarenKYu/buildkit
concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
KarenKYu/coding-interview-university
A complete computer science study plan to become a software engineer.
KarenKYu/Complete-ML-Coursework
KarenKYu/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
KarenKYu/cornell-cs5785-applied-ml
KarenKYu/data-engineering-book
Accumulated knowledge and experience in the field of Data Engineering
KarenKYu/dbt-project-1
KarenKYu/deploy-ml-models-production
Source Code for 'Deploy Machine Learning Models to Production' by Pramod Singh
KarenKYu/DSF_Depop_2020
KarenKYu/fastbook
The fastai book, published as Jupyter Notebooks
KarenKYu/feature_engine
Feature engineering package with sklearn like functionality
KarenKYu/Introduction_to_statistical_learning_summary_python
Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
KarenKYu/just-pandas-things
An ongoing list of pandas quirks
KarenKYu/Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python
KarenKYu/linked-list-good-taste
Linus Torvalds' linked list argument for good taste, explained
KarenKYu/live-learning-sessions
This is the repository that contains the material of the live learning sessions of the NYC Data Science Academy Online Bootcamp.
KarenKYu/NY_crime_dashboard
KarenKYu/odsc-ml-drum
KarenKYu/project-based-learning
Curated list of project-based tutorials
KarenKYu/PythonStdioGames
A collection of text-based games written in Python 3 that only use "standard i/o".
KarenKYu/relate
Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.
KarenKYu/scalene
Scalene: a high-performance, high-precision CPU and memory profiler for Python
KarenKYu/sklearn-pandas
Pandas integration with sklearn
KarenKYu/slides
Presentations for programming courses
KarenKYu/tez
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
KarenKYu/wc_settlements_project
KarenKYu/web-analytics-demo