Scott J Simontacchi (ssimontacchi)

ssimontacchi

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Location:San Francisco, CA

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Scott J Simontacchi's repositories

fraud-detection

Detecting Fraud with calibrated probabilities across class imbalances.

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Handicap-Accessibility-Deserts-in-SF

Identifying accessibility deserts for the physically handicapped in San Francisco

1906-Traffic-Patterns-Market-St-SF

Built a model to recognize objects in 1906 video of Market Street, SF, then use perspective transformation and time-series plot to analyze traffic patterns.

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Autonomous-Car-Projects

Projects and exercises studying the engineering of autonomous cars with Udacity's Autonomous Car Engineering Nanodegree Program

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Classifying-Traffic-Signs

Implemented LeNet and LeCun-Sermanet architectures to classify Traffic Signs

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deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

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empathy_prediction

Models to Detect Empathy and Sentiment with Bert, Distilbert, and traditional NLP techniques

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Predicting-GPA-From-Admissions-Scores

Takes years of real admissions and GPA data and cleans, merges, and analyzes to find most important factors of student success

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SenseMS

Investigation into the effects of frame-rate on neural network classification accuracy of multiple sclerosis.

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Finding_Lane_Lines

Lane Finding Project for Self-Driving Car ND

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imglab

To speedup and simplify image labeling/ annotation process with multiple supported formats.

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Insight_Project_Framework

Framework for machine learning projects at Insight Data Science

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log_summarizer

Log summarizing DAG pipeline with decorators

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Mask_RCNN

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

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ml-powered-applications

Companion repository for the book Building Machine Learning Powered Applications

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models

Models and examples built with TensorFlow

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monodepth

Unsupervised single image depth prediction with CNNs

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Predicting-Auction-Prices

Built pipeline with LASSO, Ridge, OLS and ensembling to predict sale prices with messy data for Galvanize Data Science Immersive regression case study

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raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

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regression_case_study

Built pipeline with LASSO, Ridge, OLS and ensembling to predict sale prices with messy data

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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tfrecord_utility

Generate and view TensorFlow's TFRecord file.

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traffic-sign-classifier

Developing a traffic sign classifier build off of LeNet NN architecture

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wavernn

WaveRNN-based waveform generator & demo of TensorFlow CuDNN-GRU usage.

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