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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

functional-program-design-in-scala

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

functional-programming-in-scala-capstone

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

github-pages-with-jekyll

github-slideshow

A robot powered training repository :robot:

google-it-support-professional-certificate-courses-notes

Notes from Coursera's Google IT Support Professional Certificate Program

japanese-books

javascript-calculator

Calculator using HTML5, CSS 3 and Javascript

letter_recognition----tensorflow

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

letter_recognition---batching

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

letter_recognition---neural_network

linear_regression-in-tensorflow

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

logistic-regression-neural-netwok-from-scratch

movielens-recommendation-system

MovieLens Recommendation System with content-based recommendations and collaborative filtering

natural-language-processing-with-classification-and-vector-spaces

natural-language-processing-with-probabilistic-models

notes

parallel-programming

My solutions to the Coursera course "Parallel Programming"

patrick160893.github.io

Personal Page

revision-questions-for-the-cca175-exam

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

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"