Filip Sz's repositories
bitcoin_sentiment_analysis
Bitcoin sentiment and price analysis. Search for patterns affecting price changes. NLP, RNN, time series
domain_classification
This project develops a machine learning model to classify internet domains as "Benign" or "Malicious" using advanced data science techniques.
machine-learning-spark
Credit Card Default Prediction with Spark. The project utilizes Apache Spark, a powerful distributed computing framework, to handle the large-scale financial dataset efficiently and create ML models and pipelines.
ab_testing_landing_page
A/B testing for a landing page conversion using Python, SciPy and Statsmodel
chat_with_csv
This GitHub repository features a script that integrates LangChain with OpenAI's API to enable natural language querying of a SQLite database. It simplifies data access by transforming natural language into SQL queries, making it easier to analyze GitHub repository data without deep SQL expertise.
king_county_house_sales
Linear Regression - Based on the analysis results, the house prices depend on many factors but there are a few the most significat that have the biggest impact on th eprice, i.e house square footage, location from Seattle and Bellevue as well as the zipcode where the given house is located
LLM-open-source-project-analysis
This repository hosts a Streamlit application that analyzes and visualizes GitHub repository data related to Large Language Models (LLMs). The app provides interactive insights into the popularity, growth trends, and categorical distribution of these repositories.
RAG_agent_streamlit
This repository hosts the Streamlit application for a Retrieval-Augmented Generation (RAG) Agent. The application is specifically tailored to assist architects and construction professionals in navigating the complex New York City Building Code.
pump_it_up
Multiclass classification with XGBoost. Pump it Up: Data Mining the Water Table Competition. Using data from Taarifa and the Tanzanian Ministry of Water, can you predict which pumps are functional.
time-series-anomaly-detection
Time series anomaly detection with Local Outlier Factor (LOF) and AWS EC2 CPU Utilization Data