Name: Don D.M. Tadaya
Type: User
Company: DaScient & DaScient Capital
Bio: Just but a simple mathematician tending to his farm of numbers, equations & formulas... working for that sweet sweet bean, that is algorithm.
Location: Long Beach
Blog: https://www.kaggle.com/dascient/
Don D.M. Tadaya's Projects
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.
The beginnings of our crypto currency exchange bot.
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 SDK Python bindings and sample applications
A Python Library for Generating Psychorandom Numbers & It's Applications to AI-ML-DS
Use of kNN sklearn component for anomaly detection and cross-validation between 32 classes.
Use of Mahalanobis function in R to classify uniquely observed subsets from the whole.
Use of R, some Excel, and python programming.
Use of sklearn and ensemble for supervised machine learning on counterfeit and anomalous data. Data sets provided.
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.
Python Crypto Bot
redis-tutorial
Trying to create Reinforcement Learning powered Bitcoin trading bot
supertrend bot using python, pandas, and ccxt
A DaScient Capital proprietary project & fully autonomous application of robust technical indicators against publicly traded market data & cryptocurrency blockchain exchange platforms - using python.