Ilker Kilaz's repositories
Analysis-of-Playstore-Apps
An analysis and visualization project covering a real-world dataset of the Google Play store, one of the most used applications for downloading Android apps.
Datathon_Borusan_Jun22
Borusan Otomotiv Datahon - June 2022
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
AutoScout-Deployed-Model
A machine learning model has been deployed for the AutoScout car pricing prediction project.
Customer-Segmentation-with-RFM-Cohort-KMeans
This is a sample customer segmentation project for beginners. RFM
DA_Data-Visualization-with-Python
Data Visualization with Python lecture notebooks
DA_Data-Visualization-with-Tableau
Lecture notes from Data Visualization with Tableau course
DA_Relational-DB-and-SQL
Relational DB and SQL lecture notes
DA_Statistics
Class notes from Data Analytics - Stats lecture
Datathon_AHE_May2022
Anadolu Hayat Emeklilik Datathon - May 2022
Datathon_Gdz-Elektrik_Aug22
Gdz Elektrik Datahon - August 2022
ilkerklz
Welcome to my GitHub page!
Intro-to-Astro2022
Introduction to Astronomy Research 2022
ITF_Python-Assignments
Python assignments
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
main
GitHub page
ml-pen-and-paper-exercises
Pen and paper exercises in machine learning
ML_Deep-Learning
Lecture notes and notebooks from Deep Learning course
ML_Machine-Learning
Lecture notes and notebooks from Machine Learning course
ML_Natural-Language-Processing
Lecture notes and notebooks from Natural Language Processing course
papers-we-love
Papers from the computer science community to read and discuss.
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks