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kernelgrangercausality

Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity

krisk

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

learn-spark

Examples To Help You Learn Apache Spark

learn_cpp_vs2019_cpp17

Code from C++ tutorial at LearnCpp.com using Visual Studio 2019 and C++17 standard

learningpyspark

Code base for the Learning PySpark book (in preparation)

learningpyspark_video

Learning PySpark video series

learnpythonforresearch

This repository provides everything you need to get started with Python for Accounting and Finance research.

lecture_slides

NYU Tandon lecture slides

lectures

Lecture material for Big Data in Economics (EC 410/510)

lectures-2020

liftr

Containerize R Markdown documents for continuous reproducibility

limperg_python_2019

locit

Repository for transfer learning for anomaly detection.

lstm-kalman-hybrid-timeseries

Hybrid Time Series using LSTM and Kalman Filtering

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning-for-finance

Machine Learning for finance and investment introduction

machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

machinelearningstocks

Using python and scikit-learn to make stock predictions

make_money_with_tensorflow_2.0

This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval

makeovermonday

📉 My contributions to the #MakeoverMonday challenge

market-report-generator

通过Wind数据库数据自动生成券商研报常规部分。

market_data_collector

Collect market data for quant analytics

marketing-analytics

markovclick

Python package to model clickstream data as a Markov chain. Inspired by R package clickstream.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mastering-python-for-finance-second-edition

Sources codes for: Mastering Python for Finance, Second Edition

mastering-shiny

Mastering Shiny: a book

math-156-statistical-software

MATH - E - 156 -- Mathematical Foundations of Statistical Software class taught at Harvard. These are my assignments, notes, personal thoughts.

math-camp-2020

Math Camp for incoming graduate students in Political Science, UW-Madison, 2020

math4ml

Notes on mathematical topics that pertain to machine learning