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Hello World 👋 I am Tomás Costa

  • 🔭 I’m currently working on Banking, Financial Analysis and Actuarial Sciences in my workplace.
  • 📚 I’m currently learning Performance and Statistics.
  • 👯 If you have any projects you would like to colaborate, reach out to me.
  • 💬 Ask me about anything!
  • ✉️ Reach me on LinkedIn or email.

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Tomás Costa's Projects

autonomous_driving icon autonomous_driving

Autonomous Driving – object classification based on 3D point cloud data, for the course of TAA

awesome-concepts icon awesome-concepts

Awesome list about all kinds of interesting topics: Laws, Principles, Mental Models, Cognitive Biases

cs188 icon cs188

Using algorithms to solve the berkeley course CS188.

food-classification-task-transfer-learning icon food-classification-task-transfer-learning

The application demonstrates the advantage of using transfer learning for smaller datasets. Food-11 is a small dataset with 11K images for 11 categories of food. It uses features learnt by already trained VGG16 on large Imagenet data to train a classifier for Food Classification Task..

fooddeliverydb icon fooddeliverydb

Creating and populating a Database for an app similiar to UberEats

info_retrieval icon info_retrieval

Creation of a simple document indexer, consisting of a corpus reader/ document processor, tokenizer, and indexer.

kafka icon kafka

Project 2 for course Arquiteturas de Software - Using Kafka to collect sensor data and process it according to project specifications

lotterysimilarities icon lotterysimilarities

Stochastic counter, Bloom Filter and MinHashing to get probability of lottery winners and similarity of prizes

mining_massive_datasets icon mining_massive_datasets

Set of algorithms implemented on Spark and Python to solve problems described on mmds.org (Mining of Massive Datasets)

ml_model_comparison icon ml_model_comparison

This work is a small test to demonstrate the F-test and described in the MLxtend paper. It uses the Iris dataset. To conduct the test, we compare the accuracy of 5 different models, and then test the null hypothesis

optical-flow-demo icon optical-flow-demo

A project that uses optical flow and machine learning to detect aimhacking in video clips.

prophet_timeseries icon prophet_timeseries

Forecasting future sales in the retail industry and classifying the product portfolio according to the expected level of forecasting reliability.

pthread icon pthread

Assignment 1 for CLE - Threads in C

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