Desared Osmanllari's repositories
Arvato-Bertelsmann-Customer-Acquisition
Capstone Project for Machine Learning Engineer Nanodegree.
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
Data-science-best-resources
Carefully curated resource links for data science in one place
data-scientist-roadmap
Toturials coming with the "data science roadmap" picture.
DataScienceResources
Open Source Data Science Resources.
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
learn-python
đź“š Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Deploy-Sentiment-Analysis-Model
Project for Deep Learning Nanodegree, unit 6 (Deploying a Model).
Deploying-ML-Model-Heroku-FastAPI
Project for ML DevOps Engineer Nanodegree, unit 4 (Deploying a Scalable ML Pipeline in Production).
Dynamic-Risk-Assessment-System
Project for ML DevOps Engineer Nanodegree, unit 5 (ML Model Scoring and Monitoring).
ML-pipeline-rental-prices
Project for ML DevOps Engineer Nanodegree, unit 3 (Building a Reproducible Model Workflow).
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
anonymization-api
How to build and deploy an anonymization API with FastAPI
contoso-chat
This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
desared
Config files for my GitHub profile.
desared.github.io
This is the source code of my personal web app
Dog-Breed-Classifier
Project for Deep Learning Nanodegree, unit 3 (Convolutional Neural Networks).
Face-Generation
Project for Deep Learning Nanodegree, unit 5 (Generative Adversarial Networks).
Generate-TV-Scripts
Project for Deep Learning Nanodegree, unit 4 (Recurrent Neural Networks).
identify-customer-segments
class project of Udacity data scientist nanodegree
Interactive_Machine_Learning
IPython widgets, interactive plots, interactive machine learning
ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
nd0821-c2-build-model-workflow-starter
Starter Code for the Unit 3, ML DevOps Engineer Nanodegree.
Predicting-Bike-Sharing-Patterns
Project for Deep Learning Nanodegree, unit 2 (Neural Networks).
sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
Sagemaker-Plagiarism-Detection
Project for Machine Learning Engineer Nanodegree, unit 4 (Machine Learning, Case Studies).
time-series-classification-and-clustering
Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside
twitter-rec-algorithm
Source code for Twitter's Recommendation Algorithm