Pinned Repositories
advanced-python-working-with-databases-4365479
This is a repository for the LinkedIn Learning course Advanced Python: Working with Databases.
AI-102
Amazon-Anomaly-Detection
Finding patterns in the data that do not conform to expected behavior or in other words, detecting anomalies. The objective is to identify any inconsistencies between the ratings and the reviews given by a customer, thereby confirming if the rating is in line with the review and rectifying the ratings.
angular-app-kubernetes
Sample Dockerised angular app deployed on Kubernetes on Azure using AKS
Machine-learning-with-python
Tools for ML, deeplearning : numpy, pandas, visualisation, ML projects
ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
Project_2_Dolibarr
Project_Fitec_1_2
python_scripts
tensorflow_models_learning
tensorflow GoogleNet inception V1 V2 V3 V4
Ldebb's Repositories
Ldebb/advanced-python-working-with-databases-4365479
This is a repository for the LinkedIn Learning course Advanced Python: Working with Databases.
Ldebb/Project_2_Dolibarr
Ldebb/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Ldebb/Awesome_Satellite_Benchmark_Datasets
Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
Ldebb/aws-sdk-pandas
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Ldebb/certified-kubernetes-administrator-course
Certified Kubernetes Administrator - CKA Course
Ldebb/Deploly-ML-
Ldebb/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Ldebb/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Ldebb/diagrams
:art: Diagram as Code for prototyping cloud system architectures
Ldebb/DS_methodologies
Creation of a model life cycle, hosting a model, consuming it in a web application, and setting up its CI/CD pipeline
Ldebb/dvc
🦉Data Version Control | Git for Data & Models | ML Experiments Management
Ldebb/End-To-End-ELT-Pipeline-
Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard.
Ldebb/finnhub-streaming-data-pipeline
Stream processing pipeline from Finnhub websocket using Spark, Kafka, Kubernetes and more
Ldebb/fsdl-text-recognizer-project
Lab materials for the Full Stack Deep Learning Course
Ldebb/github-action
Ldebb/hopsworks-tutorials
Tutorials for the Hopsworks Platform
Ldebb/loglizer
A log analysis toolkit for automated anomaly detection [ISSRE'16]
Ldebb/metaflow
:rocket: Build and manage real-life data science projects with ease!
Ldebb/mlops-template
mlops template
Ldebb/Movie-Recommendation
Build a movie recommendation engine
Ldebb/MyNodeApp
Ldebb/ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Ldebb/prefect-docker-compose
A simple guide to understand Prefect and make it work with your own docker-compose configuration.
Ldebb/project-walkthroughs
Ldebb/real-time-data-pipelines-in-python
Real-time Feature Pipelines in Python ⚡
Ldebb/Reddit-API-Pipeline
Ldebb/streamify
A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!
Ldebb/surf_dash
Ldebb/terraform-provider-aws
Terraform AWS provider