Multivariate linear regression using statsmodels and sklearn
https://medium.com/mlearning-ai/multivariate-linear-regression-using-statsmodels-and-sklearn-18080e19faf3
https://medium.com/mlearning-ai/multivariate-linear-regression-using-statsmodels-and-sklearn-18080e19faf3
Medium
Multivariate linear regression using statsmodels and sklearn
I do have to admit that statsmodels is one Python library that I have not spent a lot of time exploring. I am much more familiar with…
Tip: Interactive Python Notebooks With Binder
https://dennisokeeffe.medium.com/tip-interactive-python-notebooks-with-binder-2ef09108f540
https://dennisokeeffe.medium.com/tip-interactive-python-notebooks-with-binder-2ef09108f540
Medium
Tip: Interactive Python Notebooks With Binder
This is an overview of how to display your public GitHub repositories containing notebook files in an online interactive notebook using Binder and Jupyter. We are simply going to publish any Jupyter…
Confused by Multi-Index in Pandas? 9 Essential Operations to Know
https://towardsdatascience.com/confused-by-multi-index-in-pandas-9-essential-operations-to-know-e6aec29ee6d8
https://towardsdatascience.com/confused-by-multi-index-in-pandas-9-essential-operations-to-know-e6aec29ee6d8
Medium
Confused by Multi-Index in Pandas? 9 Essential Operations to Know
Understand the essentials and have no more confusions
3 Cool Python Libraries that will Save You Time and Effort
https://samuel-vidovich.medium.com/3-cool-python-libraries-that-will-save-you-time-and-effort-27fcdc6762d5
https://samuel-vidovich.medium.com/3-cool-python-libraries-that-will-save-you-time-and-effort-27fcdc6762d5
Medium
3 Cool Python Libraries that will Save You Time and Effort
Stop working so hard, and start working smarter. Clever folks have made plenty of tools for you to use!
Speed up Python numerical computation 65000 times with Numba
https://medium.com/%E5%B7%A5%E4%BA%BA%E6%99%BA%E6%85%A7/speed-up-python-numerical-computation-65000-times-with-numba-4c056ef00405
https://medium.com/%E5%B7%A5%E4%BA%BA%E6%99%BA%E6%85%A7/speed-up-python-numerical-computation-65000-times-with-numba-4c056ef00405
Medium
Speed up Python numerical computation 65000 times with Numba
Python 在現代科學運算上扮演很重要的角色,尤其是 Machine Learning 領域,其核心是一連串的矩陣運算和最佳化理論;但受限於其 Interpreter GIL 和 動態類型語言等等,在中大型運算上的效能一直為人所詬病,所以 Numpy 應運而生,大部分使用 C…
Analyzing Trends in Python Package Vulnerabilities
https://medium.com/ochrona/analyzing-trends-in-python-package-vulnerabilities-ec4b7e5952f6
https://medium.com/ochrona/analyzing-trends-in-python-package-vulnerabilities-ec4b7e5952f6
Medium
Analyzing Trends in Python Package Vulnerabilities
Overview
How I generated 217% ROI with sports betting and machine learning
https://medium.com/@kevintomas1994/how-i-generated-217-roi-with-sports-betting-and-machine-learning-27b10fdad986
https://medium.com/@kevintomas1994/how-i-generated-217-roi-with-sports-betting-and-machine-learning-27b10fdad986
Medium
How I generated 217% ROI with sports betting and machine learning
Read this post to get know how I developed a highly profitable betting strategy with python.
Working with Image pixels in OpenCV.
https://samuel-ozechi.medium.com/working-with-image-pixels-in-opencv-fb03b1fe9439
https://samuel-ozechi.medium.com/working-with-image-pixels-in-opencv-fb03b1fe9439
Medium
Working with Image pixels in OpenCV.
Pixels are important attributes of images in computer vision. They are numerical values that represent the color intensity of light in a…
Using Dependency Injection to write testable code in Python
https://miquelvir.medium.com/using-dependency-injection-to-write-testable-code-in-python-a81609b411dd
https://miquelvir.medium.com/using-dependency-injection-to-write-testable-code-in-python-a81609b411dd
Medium
Using Dependency Injection to write testable code in Python
I have recently joined Milestone, where the codebase is mainly in C#. This has brought the opportunity to refresh some very standard…
Construindo uma rede complexa a partir de páginas da Wikipedia
https://matheusrdsantos.medium.com/construindo-uma-rede-complexa-a-partir-de-p%C3%A1ginas-da-wikipedia-4c5754c98303
https://matheusrdsantos.medium.com/construindo-uma-rede-complexa-a-partir-de-p%C3%A1ginas-da-wikipedia-4c5754c98303
Medium
Construindo uma rede complexa a partir de páginas da Wikipedia
Este artigo é um guia de como criar, estilizar e disponibilizar uma rede complexa utilizando o python e o Gephi.
Machine Learning Development in the Cloud — Part 3: Code
https://medium.com/@s.kirmer/machine-learning-development-in-the-cloud-part-3-code-a568726c9dff
https://medium.com/@s.kirmer/machine-learning-development-in-the-cloud-part-3-code-a568726c9dff
Medium
Machine Learning Development in the Cloud — Part 3: Code
If you missed it, visit the first part of this series to get the overview of my project.
Gaming Stock Analysis With Python: Returns and Technical Indicators
https://medium.com/geekculture/gaming-stock-analysis-with-python-returns-and-technical-indicators-ee244f0d7c36
https://medium.com/geekculture/gaming-stock-analysis-with-python-returns-and-technical-indicators-ee244f0d7c36
Medium
Gaming Stock Analysis With Python: Returns and Technical Indicators
A comparative analysis on EA, Take Two, and Activision
5 Next Steps for Connecting the “Plants” and “Gardens” tables using SQLAlchemy ORM
https://programmer-rachel.medium.com/5-next-steps-for-connecting-the-plants-and-gardens-tables-using-sqlalchemy-orm-5ec67c155bea
https://programmer-rachel.medium.com/5-next-steps-for-connecting-the-plants-and-gardens-tables-using-sqlalchemy-orm-5ec67c155bea
Medium
5 Next Steps for Connecting the “Plants” and “Gardens” tables using SQLAlchemy ORM
My app has two tables, Gardens and Plants. When I started, I did not think to include gardens, rather the app was just for documenting…
Time to Choose TensorFlow Data over ImageDataGenerator
https://towardsdatascience.com/time-to-choose-tensorflow-data-over-imagedatagenerator-215e594f2435
https://towardsdatascience.com/time-to-choose-tensorflow-data-over-imagedatagenerator-215e594f2435
Medium
Time to Choose TensorFlow Data over ImageDataGenerator
Build Better and Faster Image Pipelines with tf.data