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DE ML AI

2023-fastapi

99-ml-learning-projects

A list of 99 machine learning projects for anyone interested to learn from coding and building projects

advanced-house-prediction-eda

In this Data science project I tried to create Jupyter notebooks for EDA and feature engineering of Advanced House Price Prediction Dataset from Kaggle Competition.

advanced-terraform-2823489

Advanced Terraform

ai_and_data_science

learning data science including languages Python and SQL, data visualisation and machine learning

ai_engineering_max

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

airflow-dbt

Apache Airflow integration for dbt

airflow-docker

Source code of the Apache Airflow Tutorial for Beginners on YouTube Channel Coder2j (https://www.youtube.com/c/coder2j)

airflow-on-kubernets

Run Airflow on Kubernetes. This repository contains scripts to 1) run a multinode kubernets cluster on local machine using KinD, 2) prepare Dockerfile for your airflow dags 3) Minimal helm chart required to run airflow on kubernetes using Kubernetes Executor

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

analytics-engineering-survey

Analytics Engineering Survey

apache-airflow

Code base for airflow training series Getting easy with Apache Airflow

apache-spark-programming-with-databricks

Owner: Jacob Parr | Apache Spark Programming with Databricks

application-integration-management-toolkit

This tool lets you interact with Application Integration, Integration Connectors or Apigee Integration/Connector APIs. The tool lets you manage (create, del, get, list) integrations, connections etc.

approaching-any-machine-learning-problems

Contains the note for the Approaching(Almost) any Machine Learning Problem by Abhishek Thakur.

approachingalmost

Approaching (Almost) Any Machine Learning Problem

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

automatic_number_plate_detection_recognition_yolov8

Automatic Number Plate Detection YOLOv8

awesome-angular-workshop

Angular: The Awesome Parts - Workshop

awesome-aws-workshops

(Unofficial) curated list of awesome workshops found around in the internet. As we all have been there, finding that workshop that you have just attended shouldn't be hard. The idea is to provide an easy central repository, in a collaborative way.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-feature-engineering

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

awesome-golang-workshops

A curated list of awesome golang workshops.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

aws-ml-guide

[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide