Dayo Oguntoyinbo's repositories
amazon-sagemaker-architecting-for-ml
Materials for a 2-day instructor led course on applying machine learning
amazon-sagemaker-mlops-workshop
Machine Learning Ops Workshop with SageMaker: lab guides and materials.
autocluster
AutoML for clustering models in sklearn.
ByeByePandas
Alternatives to PANDAS: MODIN
carbon-intensity-app
A web app showing how much electricity is made from renewable sources in different parts of UK
data-1
Python related videos and metadata powering =>
data_science_notes
Keep learning something new
devops-master-class
Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
dockr-shiny
#AnalyticsClub Demo
EndToEndBlog
This repository consists of code snippets explained on my medium blog for End-to-End ML Pipelines.
examples
A repository to host extended examples and tutorials
Image-Classification-Web-App-using-PyTorch-and-Streamlit
A simple web demo with minimal framework using PyTorch and Streamlit to showcase an image classification model
iot-core-workshop
AWS IoT Core Workshop with Raspberry Pi & Grove Pi+ Sensor Kit
ipython-sql
%%sql magic for IPython, hopefully evolving into full SQL client
Natural-Language-Processing-Specialization
Offered by Deeplearning.ai via Coursera
polyfuzz-string-matching-demo
Fuzzy string matching, grouping, and evaluation using PolyFuzz
polyglot
Multilingual text (NLP) processing toolkit
rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
shap
A game theoretic approach to explain the output of any machine learning model.
sqlitebrowser
Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:
streamlit-leaderboard
Make simple competition leaderboard using streamlit in one file of code
text_clustering
文本聚类（Kmeans、DBSCAN、LDA、Single-pass）
The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing
Tutorials
Includes data, Python files and Notebooks of tutorials published on Omdena blog
Twitter-Sentiment-Analysis-using-Spark-Streaming-and-Kafka
Spark streaming application that will perform sentiment analysis using NLP and Kafka. Sentiments are visualized using Kibana, Elasticsearch and Logstash.