Pinned Repositories
atus_clustering
An attempt to cluster people by how the use their time by using the ATUS dataset.
bike_share
Predict bike share rides with neural network, first project in deep learning with Udacity
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
face_generation
image_classification
Images from tie CIFAR-10 dataset classified in TensorFlow
language_translation
sentiment_network
Udacity Deep Learning basic Sentiment Analysis
TFLearn_projects
Udacity Deep Learning TFLearn projects
udacity_boston_housing
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
udacity_customer_segment
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
larahronn's Repositories
larahronn/atus_clustering
An attempt to cluster people by how the use their time by using the ATUS dataset.
larahronn/bike_share
Predict bike share rides with neural network, first project in deep learning with Udacity
larahronn/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
larahronn/face_generation
larahronn/image_classification
Images from tie CIFAR-10 dataset classified in TensorFlow
larahronn/language_translation
larahronn/sentiment_network
Udacity Deep Learning basic Sentiment Analysis
larahronn/TFLearn_projects
Udacity Deep Learning TFLearn projects
larahronn/udacity_boston_housing
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
larahronn/udacity_customer_segment
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
larahronn/machine-learning
Content for Udacity's Machine Learning curriculum
larahronn/TensorFlow_projects
Udacity intro to TensorFlow
larahronn/tv_script_generator
RNN used to generate a Simpsons TV script by using a part of the Simpsons data set from 27 seasons.
larahronn/vumi
Messaging engine for the delivery of SMS, Star Menu and chat messages to diverse audiences in emerging markets and beyond.