Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
Open source
24 alternativesMachine Learning for Software Engineers
vsLearn-Python
Machine Learning for Software Engineers vs Learn-Python
How do Machine Learning for Software Engineers and Learn-Python compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Machine Learning for Software Engineers | Learn-Python |
|---|---|---|
| What it is | A daily study plan for people working toward becoming machine learning engineers. | A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Machine Learning for Software Engineers and Learn-Python.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
Open source
24 alternatives
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternatives
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
Open source
24 alternatives
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.