fridchikn24 Goto Github PK

airline_delays

Examines the causes of significant flight delays

armapy

Runs an auto-regressive model off of simulated data

binsearch

Binary search algorithm

breast_cancer_models

Built and trained various machine learning models predicting whether a tumor is malignant or benign

churn

Analyzes factors affecting customer churn in the Telecom Industry

credit

compare decision tree regressors, Knn regressors, and Logistic Regressions on the openml credit-g dataset

crypto_correlation

Crypto currency Master's Thesis analyzing the correlation between cryptocurrencies with windowed lookbacks

hailstone

Compares the General Hailstone Sequences for all combinations (a,b) > 0 such that a + b <= 10 to find unique sequences for n input variables

hierarchy

Python program utilizing NumPy to implement Hierarchical Clustering on simulated data

loanpredictions

Using machine learning and stacking classifiers to predict loan approval

mbk_project

newey-west

Adds a Newey-West adjustor to linear regressions

order_quant

Python dashboard modeling the average quantity ordered from an e-commerce site

randomforestandxgboost

Predicting bike rentals in Seoul using a RandomForest and XGBoost regression and comparing them to conventional models such as decision trees, linear regressions, and K Nearest Neighbors

returns

Python dashboard modeling the returns over time and from vendors from an e-commerce site

ridge-raceeeer

Uses NumPy and Pandas to simulate data and used an L2 regularized regression(Ridge Regression) to model the data

simpsons

Project using machine learning techniques such as KNN and decision tree classifiers to classify Simpsons episodes into the "golden age"(seasons 1-10)

spotify_subscriptions

R project using XGBoost to predict whether a spotify user(in India) is a free subscriber who is not interested in upgrading, a premium user who does not in tend to continue their plan, and a premium user who intends to continue their subscription

stacking

Run and compare 2 models that use stacking to reduce variance

web_crawler

Old web crawler i made in college