mirror of
https://github.com/josephmisiti/awesome-machine-learning.git
synced 2024-12-25 10:41:52 +03:00
Practical XGBoost in Python online course
This commit is contained in:
parent
33970fd077
commit
e257a7cf15
@ -888,7 +888,7 @@ on MNIST digits[DEEP LEARNING]
|
|||||||
* [Dive into Machine Learning with Python Jupyter notebook and scikit-learn](https://github.com/hangtwenty/dive-into-machine-learning) - "I learned Python by hacking first, and getting serious *later.* I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself."
|
* [Dive into Machine Learning with Python Jupyter notebook and scikit-learn](https://github.com/hangtwenty/dive-into-machine-learning) - "I learned Python by hacking first, and getting serious *later.* I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself."
|
||||||
* [TDB](https://github.com/ericjang/tdb) - TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow.
|
* [TDB](https://github.com/ericjang/tdb) - TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow.
|
||||||
* [Introduction to machine learning with scikit-learn](https://github.com/justmarkham/scikit-learn-videos) - IPython notebooks from Data School's video tutorials on scikit-learn.
|
* [Introduction to machine learning with scikit-learn](https://github.com/justmarkham/scikit-learn-videos) - IPython notebooks from Data School's video tutorials on scikit-learn.
|
||||||
|
* [Practical XGBoost in Python](http://education.parrotprediction.teachable.com/courses/practical-xgboost-in-python) - comprehensive online course about using XGBoost in Python
|
||||||
|
|
||||||
<a name="python-neural networks"/>
|
<a name="python-neural networks"/>
|
||||||
#### Neural networks
|
#### Neural networks
|
||||||
|
Loading…
Reference in New Issue
Block a user