A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Mallet vs Codecademy's Data Science
How do Mallet and Codecademy's Data Science compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Mallet | Codecademy's Data Science |
|---|---|---|
| What it is | Mallet provides machine learning tools for language processing, according to its project title. | Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow. |
| Website | ||
| Type | Open-source project | Website |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Mallet and Codecademy's Data Science.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
This Awesome DataScience repository collects learning material and resources about data science.






