lmarti / Machine Learning
A repository of Jupyter/IPython notebooks with the slides and code examples for my machine learning class.
Stars: ✭ 16
Labels
Projects that are alternatives of or similar to Machine Learning
Carnd
Udacity's Self-Driving Car Nanodegree Projects
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
First Steps With Pandas Workshop
Workshop introducing to Pandas
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
Skin Cancer Image Classification
Skin cancer classification using Inceptionv3
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
Advanced Factorization Of Machine Systems
GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
Word2vec Chinese Demo
my chinese word2vec visulization demo, using chinese wiki as corpus
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
Visualization Of Global Terrorism Database
📊 Visualization of GTD with py Plotly lib, including amazing graphs and animation 📼
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
Lab teaching 2016
Repository for materials/codes from Kording lab teaching 2016
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
Emf Rbm
Extended Mean Field Restricted Boltzmann Machine
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
Cloud Rnaseq
ncbi data processing and cloud based genomics
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
Hack University Machine Learning
Hack University course "Introduction to Machine Learning" sylabus, course material, python examples, resource links, and data sets
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
Python Data Analytics
Source code for 'Python Data Analytics' by Fabio Nelli
Stars: ✭ 16 (+0%)
Mutual labels: jupyter-notebook
A machine learning course with Jupyter/IPython
A repository of Jupyter/IPython notebooks with the slides and code examples for my machine learning class.
Important: This repository has been migrated to the RIO Group repo (https://github.com/rio-group/machine-learning-course). This version of the slides will remain online but will not be maintained or updated.
Notes:
- Coded in Python 3.x. Python 2.x is not supported.
- See
requirements.txt
for a full list of requirements. - Using Anaconda is recommended.
Third-party images and materials usage note
I have tried to acknowledge the corresponding author whenever I am using third-party materials. If you find any misattributions do not hesitate to contact me.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].