kristofrabay Goto Github PK

catboost

Exploring CatBoost library on a regression and classification problem. Leveraging its live plot training, early stopping and model analysis attributes

convnets

Exploring the computer vision field of data science. Building, training and evaluating / explaining convolutional neural networks.

da2

DA2 codes

deep-learning-w-python

Assignments for DLw/Py course

embeddings

Trying vectorizers, word and sentence embedding techniques for content based recommendations

first-deep-learning-model

Using Keras for image classification by simple neural net, convolutional network and transfer learning

flask_experiment

flu

DrivenData Challenge: Flu Shot Learning - Predict H1N1 and Seasonal Flu Vaccines

generativeai_experiments

kaggle_binary_r_py

In-class Kaggle comp to predict binary outcomes. Using R for h2o, xgboost and Keras, Python for LightGBM and sklearn's voting classifier

llm-agents-debate

Playground for 2 LLMs to debate about topics - forked from by company gh account

machine-learning-course

Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics

mastering-r

mastering r skills course repo

med-diagnose-demo

ml_models_benchmark

Comparing different ML models on a simple regression problem including numeric and categorical features as well

mr_package

nfl-contract-and-salary-cap-analysis

Analyzing performances of NFL players receiving 10+yr contracts before and after the big deal. Also checking spending differences between successful teams and others.

nfl-sb-player-winner-prediction

trying to predict whether or not a team makes, wins the sb after making the playoffs

oss-sft-experiment

Supervised fine-tuning experiments on open-source LLMs - forked from my company gh account

penalized-regressions-and-unsupervised-methods

Lasso, Ridge and Elastic Net regressions, PCA and Clustering methods

python_practise

trying out different optimization packages for Py, unsupervised and supervised learning methods

skyscanner_flights_analysis_modeling

Using SkyScanner API getting flight info, enhancing via web scraping, analyzing and running ML models on (sklearn)

streamlit_llm

the-office-nlp

Conducting NLP (tokenization, tf-idf, sentiment, topic modeling) on The Office series. Output in a Shiny app

web_scraping

web scraping assignments

webshop-price-checker

scraping webshop price data to see how prices are increased / decreased