cyuancheng Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

2014

Official content for the Fall 2014 Harvard CS109 Data Science course

ai_startup_prototype

This is the code for "Watch Me Build an AI Startup" By Siraj Raval on Youtube

approachingalmost

Approaching (Almost) Any Machine Learning Problem

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

beautiful_idiomatic_python

Notes from Raymond Hettinger's talk at PyCon US 2013.

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

blog.github.io

blogpost_celebrity_divorce

bookclub

Notes and links from the book club meetings

build_image_classifier_pytorch

Deep Learning using PyTorch (Udacity)

course-resources-ml-with-experts-budgets

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

cyuancheng

cyuancheng.github.io

Data science portfolio

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

data-engineering-with-databricks

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

data-science-career

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines. https://bit.ly/data-notes

data-science-is-software

data-wrangle-openstreetmaps-data

Data Analyst Nanodegree, Project 2

data_science_portfolio

data_visualization_d3js

Data Analyst Nanodegree, Project 5

datascienceresources

Open Source Data Science Resources.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-trading

Algorithmic trading with deep learning experiments

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

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[email protected] 版权所有，违权必究 Tan 2018.06

disaster-response-pipeline

dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch