Things I Build, Things I Learn
A Collection of Personal and Educational Data Science Projects
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Deep Learning
Image classifying and prediction application usind Deep Tranfer Learning and Pytorch
Bike Rental Ridership Prediction with a Simple Neural Network in Python
Image Classification with a Convolutional Neural Network in Tensor Flow using the CIFAR10 Image Dataset
TV Script Generation with a Recurrent Neural Network in Tensor Flow using the Simpsons Episodes Dataset
Translation from English to French with a Recurrent Neural Network and a seq2seq-model
Generate New Faces Using Deep Convolutional Generative Adversarial Networks
Machine Learning
Improving Disaster Response with an NLP Pipeline, using NLTK, Scikit-learn and Flask
Segmenting Demographic Customer Data using PCA and KMeans
Identifying Fraud from Enron Emails with Scikit-learn
Data Wrangling and SQL Querying
Wrangle and Query OpenStreetMaps with Python and SQL
Exploratory Analysis
Exploratory Analysis of the Titanic Dataset
Explore and Summarize E-commerce Data with R
Statistical Analysis
Statistical Analysis of the Stroop effect
Data Visualization
The European life expectancy story visualized with Tableau