Machine Learning Applications

Brandon Silva, Nick Speer
Last updated on Feb 19, 2023
1 min read
applicationsPokémonPokédexExpolanetsmachine learning
View the Notebook on GitHub Follow along on Kaggle (recommended) Follow along on Google Colab 
from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-sp20-ml-apps").exists():
    DATA_DIR /= "ucfai-core-sp20-ml-apps"
else:
    # You'll need to download the data from Kaggle and place it in the `data/`
    #   directory beside this notebook.
    # The data should be here: https://kaggle.com/c/ucfai-core-sp20-ml-apps/data
    DATA_DIR = Path("data")

Other Meetings in this Series

Brandon Silva, Dillon Burns, John Muchovej
Feb 19, 2020 5:30 PM
HPA1 112
Read more

This lecture is all about Recurrent Neural Networks. These are networks with memory, which means they can learn from sequential data such as speech, text, videos, and more. Different types of RNNs and strategies for building them will also be covered. The project will be building a LSTM-RNN to generate new original scripts for the TV series "The Simpsons". Come and find out if our networks can become better writers for the show!

Nick Speer
Mar 4, 2020 5:30 PM
HPA1 112
Read more

How can we infer on the past to predict the future? In this meeting we are going to be learning about time series data and its unique qualities. After we sharpen up our data science skills, we will be putting them to good use by analyzing and predicting the spread of the Coronavirus!

Contributing Authors

Brandon Silva
Brandon Silva
Nick Speer
Nick Speer