skasukurthy

Applied-Machine-Learning

https://github.com/Aniruddha-Tapas/Applied-Machine-Learning.git

cheatsheets

RStudio Cheat Sheets

code_snippets

coursera-machinelearning

Stanford University - Machine Learning by Andrew Ng

Data-Analysis-with-R

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

Deep-Learning-Notes

Ditching-Excel-for-Python

Functionalities in Excel translated to Python

go

The Open Source Data Science Masters

skasukurthy/Applied-Machine-Learning

https://github.com/Aniruddha-Tapas/Applied-Machine-Learning.git

skasukurthy/cheatsheets

RStudio Cheat Sheets

skasukurthy/code_snippets

skasukurthy/coursera-machinelearning

Stanford University - Machine Learning by Andrew Ng

skasukurthy/Data-Analysis-with-R

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

skasukurthy/data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

skasukurthy/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

skasukurthy/Deep-Learning-Notes

skasukurthy/Ditching-Excel-for-Python

Functionalities in Excel translated to Python

skasukurthy/go

The Open Source Data Science Masters

skasukurthy/educate-resource-for-machine-learning

This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.

skasukurthy/handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

skasukurthy/HTML-CSS-Tutorial

Tutorial for HTML and CSS

skasukurthy/LearningPython

Basic tutorial on Python for an absolute beginner

skasukurthy/lessons

📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!

skasukurthy/machine-learning-1

:earth_americas: machine learning algorithms tutorials (mainly in Python3)

skasukurthy/Machine-Learning-Notes

skasukurthy/Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

skasukurthy/Machine-Learning-with-Python-1

Python code for common Machine Learning Algorithms

skasukurthy/MachineLearningCourse

A collection of notebooks of my Machine Learning class written in python 3

skasukurthy/Math-of-Machine-Learning-Course-by-Siraj

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

skasukurthy/ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

skasukurthy/MuhammadBilalAlam.github.io

skasukurthy/pandas_exercises

Practice your pandas skills!

skasukurthy/pycon-2017-eda-tutorial

Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"

skasukurthy/Python

My Python Examples

skasukurthy/python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

skasukurthy/Python_DS_2days

Publish to Github

skasukurthy/Python_Portfolio

Python for Data Science Project

skasukurthy/Stats-Maths-with-Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python