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
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).
simple-example
Example in Python
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