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azure_ml_pipeline_optimization

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bike-sharing-neural-network

Built and trained a Neural Network from scratch to predict the number of bike-share users on a given day

bootstrap-regression

Bootstrap to quantify uncertainty in the context of regression with linear, polynomial and KNN models.

bushfire-analysis

Regression models to predict the burned area in fires.

code-challenge

Create an API that will return a list of “Next to jump” races

convolutional-net-dog-breed-classifier

Design and train a convolutional neural network to analyze images of dogs and correctly identify their breeds. Use transfer learning and well-known architectures to improve this model.

data-processing-big-data

Projects focused on big data processing, including the latest big data technologies (Spark), and NoSQL database (MongoDB).

data-wrangling

Python3 projects utilising tools and techniques for data wrangling such as web scraping, data cleansing, data integration and text pre-processing tasks that prepare it for analytics.

expectation-maximization-document-clustering

Clustering News from the BBC dataset. Applied the Expectation-Maximization Algorithm. Intense math.

exploratory-data-analysis

An extensive exploratory data analysis about Immigration in Australia, crimes in South Australia and cryptocurrency prices.

forecasting_principles_practices

Implementation of Robb Hyndmans Book

gan-generate-faces

A pair of multi-layer neural networks were generated and put to compete in order to generate new, realistic faces.

lstm-deployment-sentiment-analysis-aws

Built a model, deployed it, and created a gateway for accessing it from a website. Made use of PyTorch for a sentiment analysis model.

machine-learning

Exploration of major kinds of statistical learning models and algorithms used in data analysis. Clustering, Neural Networks, Probabilistic ML are a few of the topics.

ml-finance

A project for financial risk classification of more than 500 companies. We forecast the ratings given by agencies such as Moody's and Standard and Poors.

nd009t-c1-intro-to-ml-templates

programming-foundations-in-python

Projects developed using Python using modular program structures, problem-solving strategies and techniques for algorithm development, exception-handling, object-oriented programming and recursion.

recommendation-engine-als-restaurants

An ALS recommendation engine for restaurants in Toronto. Built in Pyspark. Yelps dataset.

rnn-tv-script-generator

An RNN on PyTorch to process text. You can use it to generate new episodes of your favourite TV show, based on old scripts.

sport-analytics

tourism-analytics

tourismbali

udacity-ml-engineer-p2

wildlifecomputervision

A CNN developed from scratch and a CNN model built on Transfer Learning.