A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternativesData Science Ipython Notebooks
vsMachine Learning Roadmap
Data Science Ipython Notebooks vs Machine Learning Roadmap
How do Data Science Ipython Notebooks and Machine Learning Roadmap compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Data Science Ipython Notebooks | Machine Learning Roadmap |
|---|---|---|
| What it is | Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning. | This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals. |
| Website | ||
| Type | Open-source project | Website |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Web |
| Open source | Not stated | Not stated |
| Language | English | — |
| Alternatives |
Other options to consider
Sites similar to both Data Science Ipython Notebooks and Machine Learning Roadmap.
Virgilio organizes data science e-learning resources in a structured project overview.
Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
Open source
24 alternatives
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.