sandy4321 Goto Github PK

comparative_knn-naivebayes-decisiontree

Comparative KNN, Naive Bayes, and Decision Tree to classify imbalanced data

compare-csv

compare CSV files and merge

compare-hr-devices

Simple plotting to compare chest strap (Garmin Soft Strap Premium Heart Rate Monitor) against optical sensor on wrist (Garmin FR35)

comparingconnectomes

A review of methods for comparing connectomes

comparison-of-association-rule-mining-algos

Comparison of Apriori, FP- Growth and ECLAT

comparison-of-folder-in-two-directories

Python program to compare file from two diffrent directories for match.

comparison-of-optimization-algorithms

# Algorithms compared: # > Proximal Gradient Descent # > Accelerated Proximal Gradient Descent # > Coordinate Descent # > Alternating Direction Method of Multipliers (ADMM) #

compenginets

Time series data from http://www.comp-engine.org/

compete

Analyzing competitive interaction data

competition

competitions

:zap: Data Science and ML competitions. New (from Kaggle) & old DS contests.

competitions-1

compgw02_web_economics

Implementation of a bidding strategy to compete on a Real-Time-Bidding (RTB) environment, based on the iPinYou dataset. Part of UCL's Web Economics module.

complex-topic-pattern-mining

A new set of topic-based patterns, named Complex Topic Patterns (CTPs), by extending Sequential Topic Patterns (STPs) with time-interval constraints and interleaving operator.

compmethods-notebooks

Python Notebooks for the Computional Methods for Data Analysis course on Coursera.

composeuniversity

compositional-inductive-bias

Code for paper "A Framework for Measuring Compositional Inductive Bias", Hugh Perkins, 2021 (https://arxiv.org/abs/2103.04180)

compositional_structure_search

compresion-algorithms

A-law and DPCM (using Huffman)

comput-graph-appstat

Use of various computer-based techniques, including graphical, to understand and interpret data. Exposure to basic analysis of categorical, time-series and multivariate data in the applied areas such as biostatistics, quality control and others.

computervision

ComputerVision

coms4995-s19

COMS W4995 Applied Machine Learning - Spring 19

concept-demos

Implementations of ML-related concepts.

concept-drift-detection

Explain concept drift detection

concept_drift_hdddm

An implementation of Hellinger-Distance Based Concept Drift Detection

conceptdriftgenerator

Generator for classification with concept drift

conceptnet-numberbatch

concerttweets

A Multi-Dimensional Data Set for Recommender Systems Research

conda-recipes

Anaconda recipes for cvxgrp python packages

conditional-character-based-rnn

An efficient character based RNN