dascient Goto Github PK

bobinstall

bookmarkvalidationservice

The service will save the file and the submitter’s email address, then kick off a process that parses it and validates all URLs. Dead URLs will be removed, and the resulting HTML file will be returned to the user via the email address provided.

crybot

The beginnings of our crypto currency exchange bot.

cryptobot

data-science_large_pack

This is more of a personal folder of all data science efforts ranging from simple distance analysis to PCA and classification algorithms. Use of Orange-data mining, R, Python, Excel. Overall Objective: counterfeit/anomaly/cross-validation detection with supervised and unsupervised learning methods.

deepstream_python_apps

DeepStream SDK Python bindings and sample applications

global_consciousness_dot

A Python Library for Generating Psychorandom Numbers & It's Applications to AI-ML-DS

idrive-messenger

knn

Use of kNN sklearn component for anomaly detection and cross-validation between 32 classes.

mahalanobis-classification

Use of Mahalanobis function in R to classify uniquely observed subsets from the whole.

mahalanobis-distance-analysis-for-anomalies

Use of R, some Excel, and python programming.

pipeline-ensemble-sklearn-classifiers

Use of sklearn and ensemble for supervised machine learning on counterfeit and anomalous data. Data sets provided.

planets

principal-component-analysis-pca-for-counterfeit-detection

Using R (Studio), Python (Spyder), and PCA resources this pack is the effort of detecting anomalous data apart from legitimate instances. The training set contains only a few examples of anomalous data, and sitting alongside a large set of legitimate data, we create a robust PCA method in order strengthen discerning factors against counterfeit data.

pycryptobot

Python Crypto Bot

redis-tutorial

redis-tutorial

rl-bitcoin-trading-bot

Trying to create Reinforcement Learning powered Bitcoin trading bot

supertrend-crypto-bot

supertrend bot using python, pandas, and ccxt

supertrendtradingbot

A DaScient Capital proprietary project & fully autonomous application of robust technical indicators against publicly traded market data & cryptocurrency blockchain exchange platforms - using python.

uacp