Enes Bol's repositories
House-Price-Prediction
The house price was estimated based on the user's choices. Xgboost was used for training the model and Streamlit was used for deployment.
Classification-Algortihms-on-Anonymized-Data
Classification and Oversampling Algorithms Comparison, using Deep Feature Synthesis and Feature Selection with RFE
Garbage-Management-at-Istanbul
Exploratory Data Analysis and ML Models on Garbage of Istanbul
Colorado-Real-Estate-EDA-SARIMAX-Model
The course of the Colorado real estate market, influencing financial and demographic factors, price projections for 2023.
base-data-science
Base Repository for Data Science Teams. This repository serves as a foundational framework for data science teams, providing essential tools and structures to kickstart projects efficiently.
Lottery-Prediction-with-LSTM-
Lottery Prediction with LSTM
AddressProcessor
For processing Turkish addresses and extracting Apartment and Street info.
Bond-Functions-in-Python
A pipeline used to calculate the payouts and profits of different bonds as a time series
Data-Processing-for-Energy-Consumption-and-PV
From 70 million line of raw sensor data the energy and power consumption calculated for the houses at the same building.
Economic-Tracker-Streamlit-Dashboard
Navigate real-time economic trends through our Streamlit-powered Economic Tracker Dashboard. Delve into live data showcasing employment rates, consumer spending, and job postings across counties, industries, and income groups, all curated from Opportunity Insights.
enesbol
Config files for my GitHub profile.
Kodluyoruz-Data-Science-Bootcamp
I will add the works that I've done in the bootcamp
Lexicon_Extension
Notebook for extending a lexicon using Pre-trained glove vectors and spaCy en_core_web_lg.
mlops-zoomcamp
Free MLOps course from DataTalks.Club
Kodluyoruz-Project-1
First XGB Model and Streamlit App
kuma_utils
My toolbox for data analysis. :)
llm-course
Course with a roadmap and notebooks to get into Large Language Models (LLMs).
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
pychatgptbot
fork
Wind-Power-Forecast
Forecasting the energy to be produced from the wind based on meteorological factors such as humidity, heat, wind speed, season.