fridchikn24

airline_delays

Examines the causes of significant flight delays

Animal-Faces

Using neural networks to distinguish between cats, dogs, and various wildlife

anomaly_detection

Python project comparing and contrasting various methods of anomaly detection.

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

loanpredictions

Using machine learning and stacking classifiers to predict loan approval

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

fridchikn24/airline_delays

Examines the causes of significant flight delays

fridchikn24/Animal-Faces

Using neural networks to distinguish between cats, dogs, and various wildlife

fridchikn24/anomaly_detection

Python project comparing and contrasting various methods of anomaly detection.

fridchikn24/ARMApy

Runs an auto-regressive model off of simulated data

fridchikn24/binsearch

Binary search algorithm

fridchikn24/breast_cancer_models

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

fridchikn24/churn

Analyzes factors affecting customer churn in the Telecom Industry

fridchikn24/credit

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

fridchikn24/crypto_correlation

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

fridchikn24/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

fridchikn24/loanpredictions

Using machine learning and stacking classifiers to predict loan approval

fridchikn24/MBK_Project

fridchikn24/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

fridchikn24/Simpsons

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

fridchikn24/fake-news-detector

Using NLP and Classification algorithms to determine if an article is fake news or not

fridchikn24/hierarchy

Python program utilizing NumPy to implement Hierarchical Clustering on simulated data

fridchikn24/IMDB-sentiments

Using Recurrent Neural Networks to run sentiment analysis on IMDB reviews

fridchikn24/Newey-West

Adds a Newey-West adjustor to linear regressions

fridchikn24/order_quant

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

fridchikn24/returns

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

fridchikn24/RIDGE-RACEEEER

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

fridchikn24/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

fridchikn24/Stacking

Run and compare 2 models that use stacking to reduce variance

fridchikn24/tumor_classification

Using Neural networks to distinguish between forms of brain tumors

fridchikn24/web_crawler

Old web crawler i made in college