datascienceandml Goto Github PK
Name: DatascienceMl
Type: User
Company: University of Connecticut
Bio: Ashish Kumar Doke. Business analytics graduate student at University of Connecticut School of Business.
Location: New York
Name: DatascienceMl
Type: User
Company: University of Connecticut
Bio: Ashish Kumar Doke. Business analytics graduate student at University of Connecticut School of Business.
Location: New York
Exploration and modeling US census Adult dataset| Data Challenge round for Dataiku
implemented a kaggle users version to understand and play with sentiment analysis
Kaggle competition
Ashish Kumar Doke, Graduate Machine Learning student at UConn School of Business
credit card fraud detection using Self organising maps and Multi layer perceptron
Customer Segmentation with BG/NBD model with Customer life time value analysis (CLTV)
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Summaries and notes on Deep Learning research papers
This repository contains implementations and illustrative code to accompany DeepMind publications
Generate Diverse Counterfactual Explanations for any machine learning model.
Implemented Facebook's fastext on my native language to understand the algorithm
Imdb classification using sequence modeling. objective was to learn, understand and compare lstm and fasttext
For this competition MSKCC is making available an expert-annotated knowledge base where world-class researchers and oncologists have manually annotated thousands of mutations .Develop a Machine Learning algorithm that, using this knowledge base as a baseline, automatically classifies genetic variations.
Movie lens recommendations with Boltzman machines with pytorch
clustering the nyc yellow cab rides and citi bike rides using Self organising maps -deep learning algotrithm
Analyzing the cab and bike rides using Self organising maps
Summaries of papers on deep learning.
build a popularity and item-based collaborative filtering recommender system with graph lab
Data Introduction : https://www.kaggle.com/c/prudential-life-insurance-assessment/data In this dataset, you are provided over a hundred variables describing attributes of life insurance applicants. The task is to predict the "Response" variable for each Id in the test set. "Response" is an ordinal measure of risk that has 8 levels.
Computation using data flow graphs for scalable machine learning
Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at
topic classification of reuters data with deep learning (implementation)
we are tasked with identifying policies that will cancel before the end of their term. With the help of a predictive model, your group will be able to predict those policies that are most likely to cancel as well as understand what variables are most influential in causing a policy cancellation.
Used tweepy for sentiment analysis of hurricane harvey and southwest airlines
Collected twython scripts for twitter mining and sentiment analysis
A Python sandbox for decision making in dynamics
xgboost scripts on cancer classification with various hyper parameter tuning
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.