shriraksha Goto Github PK
Name: Shriraksha Pai
Type: User
Company: GE Digital
Bio: Data Science enthusiast with 4 years of experience in Machine Learning and Statistical modeling.
Location: Bangalore
Name: Shriraksha Pai
Type: User
Company: GE Digital
Bio: Data Science enthusiast with 4 years of experience in Machine Learning and Statistical modeling.
Location: Bangalore
The Art of Data Science
:octocat: Machine Learning for Cyber Security
Companion code for the book "Mastering Social Media Mining with Python"
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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.
common data analysis and machine learning tasks using python
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
It uses machine learning models (Multinomial NB & SVM) to predict whether the email is spam or ligitimate on two corpus namely Ling-spam corpus and Euron-spam corpus.
Mastering IPython 4 by Packt Publishing
matplotlib: plotting with Python
Tutorial: Natural Language Processing in Python
NLTK Source
Numpy main repository
Numpy exercises.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
PyMC: Bayesian Stochastic Modelling in Python (for PyMC3: https://github.com/pymc-devs/pymc3)
My Python Examples
All Algorithms implemented in Python
scikit-learn: machine learning in Python
Jupyter notebooks from the scikit-learn video series
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
Scipy library main repository
Statsmodels: statistical modeling and econometrics in Python
Computation using data flow graphs for scalable machine learning
"Deep Learning with TensorFlow" LiveLessons
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
Companion code for my video course on Data Analysis with Python, published by PacktPub
Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing
A Scrapy project for scraping restaurant information from zomato.com
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.