Could Nim Replace Python?
Why this fledgeling computer language might become the new scripting king
作者：Emmett Boudreau 来源：medium
发布时间：2020-02-08 12:54:57
Vegetation Index calculation from Satellite Imagery
AI and Machine Learning have revolutionized our world today. From healthcare to automobiles, from sports to banking, almost all the…
作者：Parul Pandey 来源：medium
发布时间：2020-02-08 11:55:13
Top 3 VS Code Extensions for Python and Data Science
Who doesn’t love a smart IDE?
作者：Dario Radečić 来源：medium
发布时间：2020-02-08 02:00:25
Deep learning isn’t hard anymore
At least, building software with deep learning isn’t
作者：Caleb Kaiser 来源：medium
发布时间：2020-02-07 23:07:57
You’re Not a Data Scientist If You Don’t Know The Central Limit Theorem
Before We Write Code, A Quick Review
作者：Robert Wood 来源：medium
发布时间：2020-02-07 02:48:17
Hard Statistics and Data Science Concepts Visually Explained
My collection of the best visual tools for learning.
作者：Thu Vu 来源：medium
发布时间：2020-02-06 16:04:30
Introducing my book: Python for Finance Cookbook
My short story of going from Medium articles to a book contract
作者：Eryk Lewinson 来源：medium
发布时间：2020-02-06 06:06:35
Stop copy-pasting notebooks, embrace Jupyter templates!
Introducing jupytemplate: configurable templates for Jupyter
作者：Emanuele Fabbiani 来源：medium
发布时间：2020-02-06 04:13:57
Data Cleaning in Python: the Ultimate Guide (2020)
Techniques on what to clean and how.
作者：Lianne & Justin 来源：medium
发布时间：2020-02-04 22:17:02
Machine Learning in TensorFlow vs PyTorch
Here’s what a Neural Network in TensoFlow and PyTorch code looks like
作者：Andreas Stöffelbauer 来源：medium
发布时间：2020-02-04 16:13:05
Transition from Mechanical Engineer to Machine Learning Engineer (or Data Scientist)
A journey story of myself from a world of physical machines to another world that is full of digital ones.
作者：Huan Do 来源：medium
发布时间：2020-02-04 13:07:32
Visualizing Categorical Data
The two main categories of categorical data are nominal and ordinal.
作者：Usha Rengaraju 来源：medium
发布时间：2020-02-04 07:40:03
Feature Selection
Feature selection, the process of finding and selecting the most useful features in a dataset, is a crucial step of the machine learning
作者：Usha Rengaraju 来源：medium
发布时间：2020-02-04 05:51:58
Categorical Encoding Techniques
Encoding categorical features in to numerical values remains the most crucial part in the feature engineering pipeline.
作者：Usha Rengaraju 来源：medium
发布时间：2020-02-04 04:38:59
5 Elegant Python Pandas Functions
Five beautiful Pandas method for everyday data science usage
作者：Baijayanta Roy 来源：medium
发布时间：2020-02-03 05:46:17
