Pinned Repositories
algorithms_in_ipython_notebooks
A repository with IPython notebooks of algorithms implemented in Python.
anomaly_detection
applied-dl-2018
Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
applied_ml_spring_2017
Website and material for the FIXME course on Practical Machine Learning
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-python
A curated list of awesome Python frameworks, libraries and software.
AY2018-2019-Winter-Collaboratory-Faculty
Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PYMC3)
bayesian_hacking
Bayesian Hacking with Python
PyTorchMedicalAI
ydata305's Repositories
ydata305/applied_ml_spring_2017
Website and material for the FIXME course on Practical Machine Learning
ydata305/bayesian_hacking
Bayesian Hacking with Python
ydata305/bootstrapped
Generate bootstrapped confidence intervals for A/B testing in Python.
ydata305/dask-tutorial
Dask tutorial
ydata305/Data-Science-Machine-Learning-Cheat-Sheet
Data Science Cheat Sheet is help to remind code with in minute and also useful to recall the code.Collecting at one place so everyone can access easily and learn.In this we have collected all cheat sheet from the web which is contain basic learning for python and R with Machine Learning and Data Science.
ydata305/datacollect
A collection of tools to collect and download various data.
ydata305/DataHack-2017
DataHack 2017 Challenge
ydata305/dataviz-bokeh-wkshp
Interactive Web Plotting with Bokeh in IPython notebook
ydata305/Deep-Learning-Boot-Camp
5 day Deep Learning School
ydata305/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
ydata305/Deep-Learning-From-Scratch
Six snippets of code that made deep learning what it is today.
ydata305/dmbi_data_hackathon
introduction_to_competitive_data_science tutorials
ydata305/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
ydata305/gcp-dl
Deep Learning on GCP
ydata305/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
ydata305/jupytercon2017
Material for Data analysis and machine learning in Jupyter
ydata305/Machine-Learning-Algorithms-from-Scratch
Implementing machine learning algorithms from scratch.
ydata305/matplotlib-gallery
Examples of matplotlib codes and plots
ydata305/msu-datascience-ml-tutorial-2018
Machine learning with Python tutorial at MSU Data Science 2018
ydata305/nn-from-scratch
Implementing a Neural Network from Scratch
ydata305/probabilistic-cookie-cutters
Sample python code for turning python probability distributions into OpenSCAD files to make 3D printed cookie cutters.
ydata305/pycon2017-anaconda-project-data-science-apps
PyCon 2017 workshop on creating data science apps with Anaconda Project, demonstrating Pandas, Scikit-Learn, Bokeh, Keras, Tensorflow.
ydata305/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
ydata305/PyMLSlides
Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
ydata305/Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
ydata305/pytorch-Video-Tutorials
The versatility of Python :snake: enlightened by Torch :flashlight: to seize Deep Learning
ydata305/rnn-from-scratch
Implementing Recurrent Neural Network from Scratch
ydata305/scipy-2017-sklearn
Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
ydata305/start-to-finish-ds
Start to Finish Data Science with Anaconda: Pandas, Bokeh, Scikit-Learn
ydata305/tutorials-1