This repository contains all the deep learning projects done as tutorial

Benchmarking computational single cell ATAC-seq methods

Data Engineering, Data Warehouse, Data Mart, Cloud Data, AWS, SAS, Redshift, S3

Python tutorial: start here if you don't know Programming

"Heart Attack Analysis" - A data science project for predicting heart attacks using machine learning on health-related data.

A customized Python module for interactive curving fitting in Jupyter Notebook environment right in the browser such as Chrome.

We Learn and Grow 🔝

Quantity Takeoff with Jupyter Notebook

This repository contains different projects and deep learning concept notebooks. I mostly used PyTorch to develop ANN, RNN, CNN, GAN/DCGAN algorithms. I used AWS services such as Sagemaker, lambda, Restful API, EC2 and EMR during learning phase. 'Orca is deep diver dolphin, shows my honest approach to deep dive in the field of AI.

🚗💥 Accident damage estimation for insurance companies using the CatBoost algorithm. 📊📈 This advanced technique utilizes machine learning to provide accurate estimates for assessing damages caused by accidents. 💯💼 Enhance efficiency and accuracy in insurance claim processes with the power of CatBoost! 🤖📉

You can find projects about Predictive Analytics for Business. There are 6 projects in this repo.

CS 168: AI-Powered Quantitative Digital Pathology for Personalized Cancer Immunotherapy

The Jupyter Notebook Programming language IDE submodule for SNU Programming Tools (2D Mode)

🧠️🖥️2️⃣️0️⃣️0️⃣️1️⃣️💾️📜️ The sourceCode:JupyterNotebook category for AI2001, containing JupyterNotebook programming language datasets

Material of the master-level course "Observational Astrophysics II" at the Department of Astronomy of Stockholm University.

A repository for showcasing my knowledge of the JupyterNotebook programming language, and continuing to learn the language.

If you visit any recipe websites, let’s say food.com, for example, you will notice a section called “You’ll also love.” Under this section, the website recommends recipes related to the one you are looking at or based on your past rating patterns. The end objective of this project is to perform EDA and extraction from the raw data using PySpark

A repo that helps you to create certificates in bulk easily

A end to end project with with EDA done on PowerBI deployed on Heroku which predicts if the Customer would Churn or not by using Random Forests Classifier as its model

Çalışma #python dilinde #jupyternotebook kullanılarak, veri işleme için #pandas, veri görselleştirme için #numpy, analiz için #matplotlib gibi kütüphaneler kullanılarak G8 ülkeleri ve Türkiye Enerji Tüketimleri Enerjide Kullanılan Maddelerin Payları İncelenmiştir.