Pinned Repositories
BakiAkgun1's Repositories
BakiAkgun1/Android-Basic-Static-Apps
BakiAkgun1/ML-Model-Examples
Overview This project showcases data visualization and machine learning model experimentation on 15 different datasets. We explored 2-3 different models for each dataset and recorded their train and test accuracy values. That was for Machine Learning Lesson's Midterm
BakiAkgun1/Front-End-Applications
BakiAkgun1/AliExpress-Interface-Analysis
This project analyzes the user interface of the AliExpress website based on Gestalt and Norman principles. The evaluation highlights the positive and negative aspects of the site's design and user experience.
BakiAkgun1/BakiAkgun1
BakiAkgun1/Basic-Category-App
For Java Practise
BakiAkgun1/Big_Data_Project-
BakiAkgun1/Body-Measurment-Dataset-Analysis
This dataset is ideal for performing statistical analyses to explore relationships between different body measurements and demographic factors. The primary goal of this analysis is to understand how these measurements interrelate and vary across different groups.
BakiAkgun1/Clock-Name-Page
I developed this app when I learn web development. I used Javascript, HTML and CSS.
BakiAkgun1/Covid19-Dataset-Analysis
This repository contains an analysis of Covid-19 data from Turkey, Germany, and Afghanistan. The analysis includes various statistical tests and visualizations to examine trends, distributions, and correlations within the dataset.
BakiAkgun1/Data-Manipulation-and-Visualization
Machine Learning Project
BakiAkgun1/Emotion-Analyze-With-RedditAPI
Data Segmentation, Vissualization, Wordcloud and Emotion Analyze
BakiAkgun1/ForestFire-Data-Analysis
This project involves an in-depth analysis of the Forest Fires dataset. The dataset includes various features related to forest fire occurrences, such as temperature, wind, rain, and area burned. The analysis includes statistical tests to determine the relationships between these features and visualizations to illustrate these relationships.
BakiAkgun1/ForestFire-Predicition-WithRegressions
This project aims to predict forest fire occurrences using the forest_fire.csv dataset. Various regression and classification models were applied to the data to evaluate their performance in predicting fire risk
BakiAkgun1/Health-Diseases-Dataset-Analysis
This project involves the analysis of the Health Disease dataset, focusing on various statistical tests and visualizations to understand the relationships between different features and the presence of heart disease.
BakiAkgun1/Hypotez-Tests-TitanicDataset
This project involves the analysis of the Titanic dataset, focusing on visualizations and hypothesis testing to explore relationships between various features, particularly 'age' and 'fare' columns. The analysis aims to uncover insights and patterns within the data.
BakiAkgun1/IMDB-TOP-1000_Recommendation
This project aims to build a movie recommendation system using the IMDb Top 1000 dataset. It includes steps for data preprocessing, data visualization, and implementing recommendation systems
BakiAkgun1/Iris-Dataset-Analysis
This project involves performing various statistical tests and visualizations on the Iris dataset. Below is a summary of the tests conducted and their results.
BakiAkgun1/Mailler_With_Web_Scraping
This project demonstrates how to use web scraping to extract the name and price of a specified product from the Amazon website and send this information via email. The implementation is done using Python in a Jupyter Notebook.
BakiAkgun1/Movie-Recommendation-Model
Film Öneri Modeli
BakiAkgun1/Movie_Recommendation
BakiAkgun1/NoSQL_Databases-Practises
Bu proje, ArangoDB, Neo4j ve Python kullanılarak gerçekleştirilen veritabanı sorguları ve ETL işlemlerini içermektedir. Projede farklı veritabanı sistemleri üzerinde sorgular yapıldı, sonuçlar CSV formatında kaydedildi ve araştırma dokümanları oluşturuldu. Ayrıca Spotify veri seti kullanılarak Python'da ETL süreçleri uygulandı.
BakiAkgun1/Reborn-Game
I developed basic game with Java language.
BakiAkgun1/Spam-Mail-Prediction-Model
This project aims to develop a machine learning model for detecting spam emails using the spambase.csv dataset. Various classification algorithms such as XGBoost, Random Forest, SVM, Neural Network, and Logistic Regression were explored and evaluated for their effectiveness in spam detection.
BakiAkgun1/SQL-Query-Practices
Some sql query practices
BakiAkgun1/Streamlit-Python-Libraries
This project provides solutions to 15 different database problems using various Python libraries, including Pandas, Dask, Modin, Vaex, and Polars on Streamlit library.
BakiAkgun1/Student_Success_Dataset_Analysis
This project involves the analysis of the Student Performance dataset, including various statistical tests and visualizations. The dataset is sourced from two separate files, student-mat.csv (Mathematics) and student-por.csv (Portuguese), which were merged based on common columns.
BakiAkgun1/Titanic-Survivals-Model
This project aims to predict the survival of passengers on the Titanic using machine learning techniques. I used Jupyter Notebook.
BakiAkgun1/Walk--Aid
Solution Challange Project
BakiAkgun1/Web-Scraping-With-Selenium
I tried data pull from Cimri.com. I used Selenium library for pull informations of products.