kvamarnath

kvamarnath's Stars

• CloudTestDrive/learning-library

  Learning Material for Oracle Technologies

  Language:PLSQL21

• CloudTestDrive/EventLabs

  Labs that are delivered as part of the CloudTestDrive initiative

  1640

• CloudTestDrive/CloudTestDrive.github.io

  Language:HTML22

• kvamarnath/learning-library

  Learning Material for Oracle Technologies

  Language:HTML1

• bev-a-tron/intro-to-tensorflow

  This is an introduction to tensorflow

  Language:Jupyter Notebook1

• bev-a-tron/AwesomeProject

  another react native app, based on the example from https://facebook.github.io/react-native/docs/getting-started.html

  Language:JavaScript1

• bev-a-tron/vegan-oregon-trail

  My first game! Oregon trail, but you pet the animals instead of killing them.

  Language:JavaScript2

• bev-a-tron/pix2pix-tensorflow

  Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

  Language:JavaScript1

• kvamarnath/Udemy-Python-Visualisation-Course

  Lecturer: JMPORTILLA

  Language:Jupyter Notebook1

• yowenter/books

  Books worth spreading

  Language:Python164

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook42.3k17.7k

• kvamarnath/machine-learning-mindmap

  A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

  1

• amueller/scipy-2017-sklearn

  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

  Language:Jupyter Notebook284227

• kvamarnath/cheatsheets

  RStudio Cheat Sheets

  1

• kvamarnath/PythonDataScience

  Python Data Science Training

  Language:Jupyter Notebook1

• mickaellegal/dataweek-workshop

  Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

  615

• kvamarnath/python-data-science-intro

  Introduction to doing reproducible data science/journalism

  Language:Jupyter Notebook1

• kvamarnath/Introduction-to-Python-Programming-and-Data-Science

  Introduction to Python Programming and Data Science

  Language:Jupyter Notebook1

• kvamarnath/Introduction-to-Data-Science

  an introduction to Data Science using Python

  Language:Jupyter Notebook1

• kvamarnath/sklearn_pycon2015

  Materials for my Pycon 2015 scikit-learn tutorial.

  Language:Jupyter Notebook1

• kvamarnath/datascience

  A Python library for introductory data science

  Language:Python1

• ujjwalkarn/DataSciencePython

  common data analysis and machine learning tasks using python

  Language:Python5.2k1.5k

• kvamarnath/awesome-python

  A curated list of awesome Python frameworks, libraries and software

  Language:Python1

• kvamarnath/data_science_python

  Source code for the "Practical Data Science in Python" tutorial

  Language:Jupyter Notebook1

• kvamarnath/python-data-science-workshop

  Workshop: Python for Data Science

  Language:Python1

• kvamarnath/data-science-your-way

  Ways of doing Data Science Engineering and Machine Learning in R and Python

  Language:Jupyter Notebook1

• kvamarnath/Python_for_Data_Science

  A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.

  Language:Jupyter Notebook1

• kvamarnath/PythonForDataScience

  PythonForDataScience

  Language:Python1

• kvamarnath/data-science-ipython-notebooks

  Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

  Language:Python1

• kvamarnath/pyway

  Learn Python The Hard Way

  Language:Python1