ercanezin

30-Days-Of-Python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-full-stack-machine-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

ce888Assignment

Assignment for CE888 DEcision Making

ce888labs

CE888-Data Science and Decision Making. Lecturer: Dr. Spyros Samothrakis

ercanezin.github.io

Personal Website

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

Thesis_Chapter-4_Wriggle_RecSys

Thesis_Chapter-5_RouteRecSys

ercanezin/ercanezin.github.io

Personal Website

ercanezin/generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

ercanezin/MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

ercanezin/30-Days-Of-Python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

ercanezin/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ercanezin/awesome-full-stack-machine-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

ercanezin/cs-video-courses

List of Computer Science courses with video lectures.

ercanezin/d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

ercanezin/data-science-interviews

Data science interview questions and answers

ercanezin/django_rest_api_with_jwt

ercanezin/Efficient_Python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

ercanezin/mlcourse.ai

Open Machine Learning Course

ercanezin/PhD-Notes

Some study notes

ercanezin/RecommenderSystem_with_MachineLearning_and_AI

Labs for Recommender System with Machine Learning and AI course by Frank Kane

ercanezin/Thesis_Chapter-4_Wriggle_RecSys

ercanezin/Thesis_Chapter-5_RouteRecSys

ercanezin/ercanezin

ercanezin/From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

ercanezin/Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

ercanezin/markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

ercanezin/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ercanezin/OpenOccupancy

OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception

ercanezin/Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

ercanezin/pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

ercanezin/Python

All Algorithms implemented in Python

ercanezin/Thesis_Chapter-3_SMC_Video_RecSys

Thesis_Chapter-3_SMC_Video_RecSys

ercanezin/ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

ercanezin/Vanced

Vanced Issues/Docs repo

ercanezin/VancedManager

Vanced Installer

ercanezin/VancedMicroG

MicroG tweaked to work for applications such as Vanced.