fridchikn24

fridchikn24

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fridchikn24's repositories

airline_delays

Examines the causes of significant flight delays

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Animal-Faces

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

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anomaly_detection

Python project comparing and contrasting various methods of anomaly detection.

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ARMApy

Runs an auto-regressive model off of simulated data

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binsearch

Binary search algorithm

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breast_cancer_models

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

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churn

Analyzes factors affecting customer churn in the Telecom Industry

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credit

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

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crypto_correlation

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

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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

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loanpredictions

Using machine learning and stacking classifiers to predict loan approval

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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

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Simpsons

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

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fake-news-detector

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

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hierarchy

Python program utilizing NumPy to implement Hierarchical Clustering on simulated data

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IMDB-sentiments

Using Recurrent Neural Networks to run sentiment analysis on IMDB reviews

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Newey-West

Adds a Newey-West adjustor to linear regressions

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order_quant

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

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returns

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

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RIDGE-RACEEEER

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

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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

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Stacking

Run and compare 2 models that use stacking to reduce variance

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tumor_classification

Using Neural networks to distinguish between forms of brain tumors

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web_crawler

Old web crawler i made in college

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