abhisheksubu92 Goto Github PK

alphatrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

armagarch

ARMA-GARCH

botpress

🤖 Modular chatbot framework that ⚡ thousands of bots all around the world

check_for_large_data

cohort_analysis

dash_trials

dat8

General Assembly's Data Science course in Washington, DC

data-projects

data-science

My notes pertaining to python programming, data analysis and visualization

data-science-blogs

A curated list of data science blogs

data-science-for-marketing-analytics

Achieve your marketing goals with the data analytics power of Python

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.

datacamp-light

Convert any blog or website to an interactive learning platform for data science

datasciencecoursera

datasharing

The Leek group guide to data sharing

flask-ml

flaskapp

foundations-marketing-analytics

Python versions of the R tutorials used in the Coursera course 'Foundations of Marketing Analytics'

gain

Generative Adversarial Imputation Networks (GAIN)

gan-for-data-generation

garch_replication

Replication of key GARCH model papers

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code

linregviz

Linear Regression Visualization with D3 and Flask

look-at-nlp-some-comparisons

monte-carlo-methods

neo4j-qcon

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas-exercises

Walkthrough exercises from PandasTutorial by Wes McKinney.

pandas_guided_project