vybhavk Goto Github PK
Name: Vybhavreddy K C
Type: User
Company: Socure inc
Bio: Lead Data Scientist in Socure Inc
Location: Redmond, WA
Name: Vybhavreddy K C
Type: User
Company: Socure inc
Bio: Lead Data Scientist in Socure Inc
Location: Redmond, WA
Notes on Apache Spark (pyspark)
Code repository for Learning PySpark by Packt
My own work on the materials of the book "Learning Scala", by Jason Swartz. MIT License
Oxford Deep NLP 2017 course
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Implementation of the LeNet-5 deep neural network model in Tensorflow
Lime: Explaining the predictions of any machine learning classifier
A long term short term memory recurrent neural network to predict stock data time series
Workshop on Machine Learning in Python
:earth_americas: machine learning algorithms tutorials (mainly in Python3)
List of all the lessons learned, best practices, and links from my time studying machine learning
This is my collection of Machine Learning mini-projects as I'm learning ML.
machine learning and deep learning tutorials, articles and other resources
An implementation of second-order Markov chains for text generation
A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Python script to pull machine learning flashcards from Chris Albon's twitter feed
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.
A simple python wrapper over MLJAR API.
Examples how MLJAR can be used
Machine Learning Problem Bible
My personal toolkit of classification and regression algorithms
Cross-Validation functions for various models in R
A set of model utility Classes and functions in python
Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course
A machine learning project to predict if a movie is going to be a blockbuster or flop. In this project we aim to collect data from various sources like Twitter and Youtube comments, and perform classification of postivity of these tweets and comments. Our model uses these values to predict success of a movie in the scale of 1 to 5, where 5 being blockbuster and 1 being flop. Various classification algorithms like SVM, Naive Bayes, Maximum Entropy are implemented and accuracy is compared. We uses Python as primary language of implementation.
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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.