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modified-fuzzy-membership-models

Code to run experiments with Modified Fuzzy Membership Models

modified-macspmd

Funny Implementation of "MACSPMD: Malicious API Call Sequential Pattern Mining Based Malware Detection"

modopt

Modeling optimization problems with R

modopt.matlab

Modeling Optimization Problems with R - MatLab(R) compatibility functions

mofc-demand-forecasting-with-time-series-analysis

Time Series Forecasting for the M5 Competition

moff

A modest Feature Finder to extract features in MS1 Data

mogo

Open Source Genetic Optimizer for the NinjaTrader platform

molecularfeatureengineering

Machine learning-based identification of separating features in molecular fragments

moma_predictor

Three methods for handling imbalanced data for classification with decision trees.

momentuhmm

:exclamation: This is a read-only mirror of the CRAN R package repository. momentuHMM — Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models. Homepage: https://github.com/bmcclintock/momentuHMM Report bugs for this package: https://github.com/bmcclintock/momentuHMM/issues

momentuhmm-1

Maximum likelihood analysis Of animal MovemENT behavior Using multivariate Hidden Markov Models

mondrianforest

Code for "Mondrian Forests: Efficient Online Random Forests"

mongo-spark

Example application on how to use mongo-hadoop connector with Spark

mongodb-developers-notebook

mongokit

MongoKit framework try to keep its simplicity when you manage mongodb in python. MongoKit was developed to be fast and light with KISS and DRY in mind. MongoKit brings structured schema and validation layer on top of the great pymongo driver. Discuss with us on Google group : http://groups.google.com/group/mongokit or follow the news on Twitter: http://twitter.com/namlook

mongomock

Small library for mocking pymongo collection objects for testing purposes

monologue

monotonic-nets

Deep neural networks with monotonicity guarantees. The control over monotonicity properties can be used to improve the interpretability. Monotonicity guarantees is often a concern in finance and insurance applications due to regulatory reasons.

monotonicfairness

Supporting code for "Avoiding Resentment Via Monotonic Fairness"

montecarlogbm

Monte Carlo simulation of stocks using geometric brownian motion

montecarlorisk

Calculating Value at Risk with Spark

mooc-dropout-predition

The competition of KDD CUP of 2015. Predict a student on the MOOC weather dropout or not.

mooc_data_science

Feature extraction and machine learning for edX. MIT MEng Thesis project

mooctalk

mord

Ordinal regression algorithms

moreau16

morejson

A drop-in replacement for Python's json that handles additional built-in Python types.

morpheuspy

Factorized Machine Learning with NumPy

morphorueval2017

Part-of-speech tagger and lemmatizer for MorphoRuEval2017

mosbot

Бот-участник конкурса http://порталпоставщиков.рф