Pinned Repositories
Applied_Machine_Learning_in_Python
autoencoders_keras
Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Azure-MachineLearning-DataScience
BI-TECH-CP303
Course materials for Data Mining at the University of Washington's Professional and Continuing Education.
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Data-Science-and-Engineering-with-Spark
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Data_Science_Fundamentals
ethanknows's Repositories
ethanknows/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
ethanknows/autoencoders_keras
Automatic feature engineering using deep learning and Bayesian inference using Keras and TensorFlow.
ethanknows/awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
ethanknows/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
ethanknows/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
ethanknows/Data_Science_Fundamentals
ethanknows/deep-ttf
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
ethanknows/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
ethanknows/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
ethanknows/fastai
The fast.ai deep learning library, lessons, and tutorials
ethanknows/getting-started-python
Code samples for using Python on Google Cloud Platform
ethanknows/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
ethanknows/How-To-Ask-Questions-The-Smart-Way
ethanknows/hyperparameter-optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
ethanknows/ml-station
ethanknows/mlflow-demo
Simple Demo of MLflow Project
ethanknows/mlflow-spark-summit-2019
MLFlow Spark Summit 2019 Presentation
ethanknows/mmdetection
Open MMLab Detection Toolbox and Benchmark
ethanknows/msa8770
ethanknows/Neural_Nets_Learning
ethanknows/nodejs-getting-started
A tutorial for creating a complete application using Node.js on Google Cloud Platform
ethanknows/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
ethanknows/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ethanknows/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
ethanknows/Santander-Customer-Transaction-Prediction
2nd Place Solution 💰🥈
ethanknows/sk-dist
Distributed scikit-learn meta-estimators in PySpark
ethanknows/test
ethanknows/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
ethanknows/the-craft-of-selfteaching
One has no future if one couldn't teach themself.
ethanknows/wtte-rnn
WTTE-RNN a framework for churn and time to event prediction