Patrick160893

Auto_MPG---Neural-Network

Using neural networks to access the features which best determine "power to weight" of cars

Auto_MPG---Regression

Using multi-linear regression to access the features which best determine "power to weight" of cars

Auto_MPG---TensorFlow

Using TensorFlow to access the features which best determine "power to weight" of cars

AutomationAnywhereChallenge

django_project

First-React-Project

Linear_Regression-in-TensorFlow

A simple Linear Regression to model the relationship between burglaries and manslaughter/homicide offenses in America (as per FBI statistics)

patrick160893.github.io

Personal Page

Time-Analysis-of-Neural-Networks-with-Different-Techniques

The following script compares the execution time of a Letter Recognition neural network for 1) with any deep-learning libraries; 2) with TensorFlow; 3) with Batching

Titanic-Survivors

This is my current solution to the Kaggle problem "Titanic: Machine Learning from Disaster"

Patrick160893/Linear_Regression-in-TensorFlow

A simple Linear Regression to model the relationship between burglaries and manslaughter/homicide offenses in America (as per FBI statistics)

Patrick160893/Titanic-Survivors

This is my current solution to the Kaggle problem "Titanic: Machine Learning from Disaster"

Patrick160893/Auto_MPG---Neural-Network

Using neural networks to access the features which best determine "power to weight" of cars

Patrick160893/Auto_MPG---Regression

Using multi-linear regression to access the features which best determine "power to weight" of cars

Patrick160893/patrick160893.github.io

Personal Page

Patrick160893/Time-Analysis-of-Neural-Networks-with-Different-Techniques

The following script compares the execution time of a Letter Recognition neural network for 1) with any deep-learning libraries; 2) with TensorFlow; 3) with Batching

Patrick160893/Auto_MPG---TensorFlow

Using TensorFlow to access the features which best determine "power to weight" of cars

Patrick160893/AutomationAnywhereChallenge

Patrick160893/django_project

Patrick160893/First-React-Project

Patrick160893/Functional-Program-Design-in-Scala

My solutions to the Coursera course "Fuctional Program Design in Scala"

Patrick160893/Functional-Programming-in-Scala-Capstone

My solutions to the Coursera course "Functional Programming in Scala Capstone"

Patrick160893/github-pages-with-jekyll

Patrick160893/github-slideshow

A robot powered training repository :robot:

Patrick160893/Google-IT-Support-Professional-Certificate-Courses-Notes

Notes from Coursera's Google IT Support Professional Certificate Program

Patrick160893/Japanese-Books

Patrick160893/Javascript-Calculator

Calculator using HTML5, CSS 3 and Javascript

Patrick160893/Letter_Recognition----TensorFlow

Using TensorFlow for letter classification by access various black-and-white, rectangular pixels

Patrick160893/Letter_Recognition---Batching

Using TensorFlow with batching for letter classification by accessing various black-and-white, rectangular pixels

Patrick160893/Letter_Recognition---Neural_Network

Patrick160893/Logistic-Regression-Neural-Netwok-from-Scratch

Patrick160893/MovieLens-Recommendation-System

MovieLens Recommendation System with content-based recommendations and collaborative filtering

Patrick160893/Natural-Language-Processing-with-Classification-and-Vector-Spaces

Patrick160893/Natural-Language-Processing-with-Probabilistic-Models

Patrick160893/Notes

Patrick160893/Parallel-Programming

My solutions to the Coursera course "Parallel Programming"

Patrick160893/Revision-Questions-for-the-CCA175-exam

This is a set of answers and solutions which I have completed in preparation for the CCA175 exam.