Kelly McLean's repositories
2020_Halloween_IG_Filters
Easy peasy lemon squeezy Instagram Filters
2021_Jan_31_Imbalanced_Classification_with_the_Fraudulent_Credit_Card_Transactions_Dataset
Tutorial for Imbalanced Classification
2021_July_Panel_Holoviz
Panel is an open-source Python library that lets you create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.
air_pollution_forecasting
Air pollution forecasting
credit_card_fraud_classification
Imbalanced_Classification_with_the_Fraudulent_Credit_Card
deployment-heroku
Deployment Heroku
diabetic_retinopathy
Attempting image multi classifier to diagnosis diabetic retinopathy
finger_printing_CNN
Determining gender via fingerprints
flask_tutorial
containerization via flask
Jan28_2021_Framework_DataPrep
Imbalanced synthetic data set, classification
mask_recognition
Facial Recognition
mining_analysis_iron
Iron feed analysis
mining_regression
Iron ore flotation, looking at prediction using regression
nedler_mead_optimization
Example of using the Nelder-Mead optimization algorithm on a simple convex objective function is listed below.
NLP_sonar
# compare machine learning algorithms on the sonar classification dataset
on_demand_data_etl
Data project to build out a simple dashboard that is populated by near real-time bitcoin exchange data.
OpenCV_self_drive
Using OpenCV to do lane detection
parkinsons
Using images of healthy controls and Parkinsons patients spirals and wave used in diagnosis. Looking for differences that could be used for screening using a CNN
python_visual_tutorial
Visualizations for function optimization in Python.
pytorch_tutorial
Working with Principal Component Analysis, or PCA
recommendation_system
Recommendation system for persuasive technology
reLU_tutorial
Rectified Linear Activation Function
SHAP_tutorials
A game theoretic approach to explain the output of any machine learning model
sqlite_python
When you want to make a database in Python, use this!
tensorflow_beginners
Trying out tensor flow
time_series_forecasting
Using time series to forecast the sale of shampoos
time_series_forecasting_April_2021
This notebook shows how to decompose time series and reconstruct unobserved (latent) components using generic regression models. We use Gradient Boosted Decision Trees (LightGBM and XGBoost), but the same analysis can be done with other model types.