Name: Nadeem
Type: User
Bio: Data science enthusiast with experience in Statistical Inference, Hypothesis Testing, Factor Analysis, Neural Networks, CART, Logistic Regression
Twitter: NadeemOffl_
Location: Bangalore, India
🔭 I’m currently working with Soothsayer Analytics as Data Scientist
🌱 I’m currently learning NLP and Deep Learning
👨💻 All of my projects are available at https://github.com/nadeemoffl
💬 Ask me about Data Science, Machine Learning, Time Series, NLP and Deep Learning
📫 How to reach me [email protected]
scary_nlp_with_spacy_and_keras
The competition dataset contains text from works of fiction written by spooky authors of the public domain: Edgar Allan Poe, HP Lovecraft and Mary Shelley. The data was prepared by chunking larger texts into sentences using CoreNLP's MaxEnt sentence tokenizer, so you may notice the odd non-sentence here and there. Your objective is to accurately identify the author of the sentences in the test set.
stock_tweets_predication
A hedge fund uses 6 financial factors to predict the alpha signal in a stock. This alpha signal is used to make purchase decisions about the stock. The hedge fund now collected and tagged microblogging data for sentiment from the Social Media platform called ‘StockTwits’.StockTwits is used by people who regularly trade stocks. People on this platform tweet about stocks using the special character ‘$’ to indicate the name of the stock. These microblogs similar to tweets might contain important information about the alpha signal in a stock.Your goal is to build a sentiment analysis model using the tagged data. This sentiment analysis model should then be used to generate a new stock factor which together with the other stock factors should be used to predict the Alpha Signal.The hedge fund has anonymised the data, which contains 7 stock factors and an alpha signal. This alpha signal is generated using a near perfect algorithmic trading strategy. Unfortunately the number of stock factors, collected to run that strategy,are extremely high and have to be collected from a large number of data vendors at a high price.
text_classification_amazon_reviews
timeseires_finhack
LTFS Data Science FinHack 2 using Holt_Winters
timeseriesanalysiswithpython
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
