Pinned Repositories
Apps_Case_Study
Integrating Apps Case Study
Case_Study-Bayesian_Optimization
Case_Study-Cosine_Similarity
Case_Study-Cowboys_Cigrettes
Case_Study-Decision_Tree
causal_inference_castle_doctrine
A causal inference study using difference-in-differences techniques to study changes in gun laws and lethal violence.
drought_prediction
Modeling drought using rudimentary meteorological and soil variables. Used RAPIDS framework to access GPU processing for large datasets.
probabilistic_programming_language
Project work with PyMC and CausalPy.
python_coding_examples
a collection of python projects
springboard_data_science
Collection of work from the Springboard Data Science program.
ChadDelany's Repositories
ChadDelany/python_coding_examples
a collection of python projects
ChadDelany/Apps_Case_Study
Integrating Apps Case Study
ChadDelany/Case_Study-Bayesian_Optimization
ChadDelany/Case_Study-Cosine_Similarity
ChadDelany/Case_Study-Cowboys_Cigrettes
ChadDelany/Case_Study-Decision_Tree
ChadDelany/causal_inference_castle_doctrine
A causal inference study using difference-in-differences techniques to study changes in gun laws and lethal violence.
ChadDelany/drought_prediction
Modeling drought using rudimentary meteorological and soil variables. Used RAPIDS framework to access GPU processing for large datasets.
ChadDelany/probabilistic_programming_language
Project work with PyMC and CausalPy.
ChadDelany/springboard_data_science
Collection of work from the Springboard Data Science program.
ChadDelany/Case_Study-EuclideanManhattanDistance
ChadDelany/Case_Study-Gradient_Boosting
ChadDelany/Case_Study-GridSearchKNN
This case study is all about using grid searches to identify the optimal parameters for a machine learning algorithm. To complere this case study, you'll use the Pima Indian diabetes dataset from Kaggle and KNN. Follow along with the preprocessing steps of this case study.
ChadDelany/Case_Study-Linear_Regression
11.4 Springboard Case Study - Linear Regression
ChadDelany/Case_Study-Logistic_Regression
ChadDelany/Case_Study-Random_Forest
Use of Random Forest Model and Logistic Regression to study the Coronavirus
ChadDelany/Case_Study-Segmentation_using_Clustering
In this case study, you will implement the K-Means clustering algorithm, find the value for K using the Elbow method, the Silhouette method, and the Gap statistic, and visualize the clusters with Principal Components Analysis (PCA). You'll use real data containing information on marketing newsletters and email campaigns, as well as transaction-level data from customers.
ChadDelany/case_study_data_storytelling
ChadDelany/causal_inference
ChadDelany/causalpy_examples
Introductory examples of Bayesian Causal Inference using CausalPy.
ChadDelany/ChadDelany
Config files for my GitHub profile.
ChadDelany/challenge_relax
ChadDelany/challenge_ultimate
ChadDelany/DataScienceGuidedCapstone
Project for Data Science certificate at Springboard
ChadDelany/featuretools_exercise
Adapted exercise from here: https://github.com/Featuretools/predict-customer-churn/blob/master/churn/3.%20Feature%20Engineering.ipynb
ChadDelany/Frequentist-Case-Study
ChadDelany/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
ChadDelany/springboard_challenge_relax
ChadDelany/springboard_challenge_ultimate_tech
ChadDelany/ssm_book_club
State Space Models book club