dtunnicliffe Goto Github PK

evaluating-regression-lines-data-science-intro-000

evaluating-regression-lines-lab-data-science-intro-000

excel-to-python-data-science-intro-000

expressing-functions-data-science-intro-000

fetal-health-classification

Phase 3 project for Data Science program at Flatiron School. Predicting fetal health outcomes using CTG data. Testing various classification models and optimizing hyperparameters with GridSearchCV. Decision Tree, Logistic Regression, Support Vector Machine, Random Forest, Extra Trees.

filter-readme-python-data-science-intro-000

for-loops-readme-data-science-intro-000

function-arguments-lab-data-science-intro-000

function-arguments-readme-data-science-intro-000

git_practice

gradient-descent-data-science-intro-000

gradient-descent-step-sizes-data-science-intro-000

gradient-descent-step-sizes-lab-data-science-intro-000

gradient-to-cost-function-data-science-intro-000

hello-world

This is my first repository.

house-price-regression-project

Phase 2 Project for Data Science Program at Flatiron School. Using Linear Regression models to predict housing prices based on unique features.

intermediate-python-course

an intermediate Python course

introduction-to-derivatives-data-science-intro-000

introduction-to-derivatives-lab-data-science-intro-000

introduction-to-functions-lab-data-science-intro-000

jupyter-notebook-introduction-data-science-intro-000

learn-co-sandbox

linearpractice

maize-leaf-disease_cnn

Phase 4 Project for Flatiron School Data Science Program. Identifying disease in images of maize leaves using Convolutional Neural Networks (CNNs) for image classification.

map-filter-lab-python-data-science-intro-000

map-readme-python-data-science-intro-000

monday_practice

movie-analysis-project

Phase 1 Project for Data Science Program at Flatiron School. Using exploratory data analysis (EDA), web-scraping, Pandas, and Matplotlib to analyze features of high-grossing movies.

multivariable-calculus-gradient-descent-data-science-intro-000

multivariable-functions-data-science-intro-000