Pinned Repositories
capstone2020
Cene-Image-Classification
Cene is an image classification application that aims to classify images of 6 landscapes into corresponding albums. The landscapes this app is capable of classifying are buildings, forests, glaciers, mountains, seas and streets.
credit-card-fraud-detection
This dataset and problem, a provided by Kaggle, can be found here: https://www.kaggle.com/mlg-ulb/creditcardfraud. The aim is to identify fraudulent credit card transactions as well as to deal with the significant class imbalance issues present in this dataset.
customer_churn_prediction_syriatel
This project aims to provide SyriaTel with a model to help predict whether a customer will soon churn.
king_county_housing_prices_linear_regression
This repo contains EDA of 2019 King County housing data. It also contains iterations of generating linear regression models to predict home sale prices.
nationalism_using_gdelt
This project aims to dive deeper into extracting the data in the GDELT Project which is a 'global database of society'. More specifically, I aim to investigate nationalistic movements around the world through NLP practices as well as investigating trends over time using time series analysis.
opportunity_youth_statistical_analysis
This project offers an updated estimate of the number of Opportunity Youth in South King County using the 2017 5-year American Community Survey (ACS) Public Use Microdata Survey (PUMS).
Rate-5-Get-5-Movie-Recommendation-System
We aim to create a recommendation system based on the MovieLens dataset from the GroupLens research lab at the University of Minnesota. Furthermore, we would like to deploy a web app that will alloy a user to enter some ratings for movies that they have seen, and then, based on the model we have implemented, it will reccomend movies that align with their interests.
respones_to_resistance_model_analysis
This project analyses response to resistance data for the Dallas police municipality. A model is created to predict whether citizens are injured if they resist police arrest.
lecritch's Repositories
lecritch/king_county_housing_prices_linear_regression
This repo contains EDA of 2019 King County housing data. It also contains iterations of generating linear regression models to predict home sale prices.
lecritch/Rate-5-Get-5-Movie-Recommendation-System
We aim to create a recommendation system based on the MovieLens dataset from the GroupLens research lab at the University of Minnesota. Furthermore, we would like to deploy a web app that will alloy a user to enter some ratings for movies that they have seen, and then, based on the model we have implemented, it will reccomend movies that align with their interests.
lecritch/capstone2020
lecritch/Cene-Image-Classification
Cene is an image classification application that aims to classify images of 6 landscapes into corresponding albums. The landscapes this app is capable of classifying are buildings, forests, glaciers, mountains, seas and streets.
lecritch/nationalism_using_gdelt
This project aims to dive deeper into extracting the data in the GDELT Project which is a 'global database of society'. More specifically, I aim to investigate nationalistic movements around the world through NLP practices as well as investigating trends over time using time series analysis.
lecritch/respones_to_resistance_model_analysis
This project analyses response to resistance data for the Dallas police municipality. A model is created to predict whether citizens are injured if they resist police arrest.
lecritch/credit-card-fraud-detection
This dataset and problem, a provided by Kaggle, can be found here: https://www.kaggle.com/mlg-ulb/creditcardfraud. The aim is to identify fraudulent credit card transactions as well as to deal with the significant class imbalance issues present in this dataset.
lecritch/customer_churn_prediction_syriatel
This project aims to provide SyriaTel with a model to help predict whether a customer will soon churn.
lecritch/opportunity_youth_statistical_analysis
This project offers an updated estimate of the number of Opportunity Youth in South King County using the 2017 5-year American Community Survey (ACS) Public Use Microdata Survey (PUMS).
lecritch/big-data-seattle-chicago-ds
lecritch/build-deploy-dash-app
lecritch/cnns_seattle-chicago-ds
lecritch/Coding-in-TensorFlow
Nothing strengthens better your knowledge in Deep Learning than coding an actual model and application. Take the 5 week challenge with Robert, David and George and join us each Friday for a fun and engaging hands-on coding session using TensorFlow 🎉
lecritch/dask-tutorial
Dask tutorial
lecritch/DLA
Deep Learning Adventures
lecritch/dsc-analyzing-macbeth-project-v2-1-sea01-dtsc-ft-051120
lecritch/dsc-data-viz-lab-sea01-dtsc-ft-051120
lecritch/dsc-deeper-neural-networks-lab-chi01-dtsc-ft-051120
lecritch/dsc-deeper-neural-networks-lab-sea01-dtsc-ft-051120
lecritch/dsc-image-classification-with-mlps-lab-sea01-dtsc-ft-051120
lecritch/dsc-implementing-recommender-systems-sea01-dtsc-ft-051120
lecritch/dsc-introduction-to-keras-lab-sea01-dtsc-ft-051120
lecritch/dsc-introduction-to-keras-sea01-dtsc-ft-051120
lecritch/dsc-introduction-to-neural-networks-lab-sea01-dtsc-ft-051120
lecritch/dsc-machine-learning-with-spark-sea01-dtsc-ft-051120
lecritch/getting-up-to-speed-with-dask
Gentle introduction to Dask
lecritch/keras_and_tensorflow-chi-sea-dsc
lecritch/madrid-weather
lecritch/madrid_temperature_time_series
This project aims to investigate the Madrid Temperature dataset and identify the best ML framework that minimizes the mean absolute error.
lecritch/transfer_learning_seattle-chicago-ds