Pinned Repositories
ADPE2E
Azure Data Platform End-to-End
aml-demos
Azure Machine Learning service demos.
attack-and-defense-methods
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
azure-databricks-storage
Different ways to connect to storage in Azure Databricks
azure-machine-learning-service-sdk-
Azure Machine Learning (Machine Learning Studio, MLOps, Automated Machine Learning, Designer, etc.)
azure-synapse-analytics-day
Capstone-Project
Problem Statement: To predict whether online customer will generate revenue or not
Practice-Machine-learning
Practicing Machine learning problems
Real-time-machine-learning-case-study-
To Description: ● To Analyse Student Admission Data which contains student details like name, age, secondary marks etc, to train a machine learning model to predict student salary.
Tableau
Tableau Dashboards
ghousethanedar's Repositories
ghousethanedar/Capstone-Project
Problem Statement: To predict whether online customer will generate revenue or not
ghousethanedar/Practice-Machine-learning
Practicing Machine learning problems
ghousethanedar/Real-time-machine-learning-case-study-
To Description: ● To Analyse Student Admission Data which contains student details like name, age, secondary marks etc, to train a machine learning model to predict student salary.
ghousethanedar/Tableau
Tableau Dashboards
ghousethanedar/aml-demos
Azure Machine Learning service demos.
ghousethanedar/azure-databricks-storage
Different ways to connect to storage in Azure Databricks
ghousethanedar/azure-machine-learning-service-sdk-
Azure Machine Learning (Machine Learning Studio, MLOps, Automated Machine Learning, Designer, etc.)
ghousethanedar/Computer-Vision
Some computer vision projects written using openCV and python.
ghousethanedar/CourseraMachineLearning
Coursera Machine Learning By Prof. Andrew Ng
ghousethanedar/Credit-Card-Transaction-Fraud-Detection-using-Supervised-Machine-learning-with-an-Imbalanced-dataset
Credit card fraud is a burden for organizations across the globe. Specifically, $24.26 billion were lost due to credit card fraud worldwide in 2018, according to shiftprocessing.com. In this project, our goal was to build an effective and efficient model to predict fraud. We analyzed a real-world dataset that contained a list of government related credit card transactions over the 2010 calendar year. The data presented a supervised problem as it included a column showing the transaction’s fraud label (whether a transaction was fraudulent or not). It also contained identifying information about each transaction such as the credit card number, merchant, merchant state, etc. The dataset had 96,753 records and 10 data fields. We first described and visualized each of the 10 data fields, cleaned the dataset, and filled in missing values. Then we created many variables and performed feature selection. Finally, we created a variety of machine learning models (both linear and nonlinear) and highlighted our results.
ghousethanedar/Data-Science-usefull-resources
ghousethanedar/DL4CVStarterBundle
Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock
ghousethanedar/insulin
ghousethanedar/mcw-mlops-starter-v2
Contains the starter code for the ML Ops MCW.
ghousethanedar/MLOps.Azure
Implementation of MLOps in Azure with dataset versioning, model deployment, stream analysis and PowerBI integration
ghousethanedar/MLOps_complementary
ghousethanedar/mlops_iris
ghousethanedar/MLOpsPython
MLOps using Azure ML Services and Azure DevOps
ghousethanedar/model_auto
ghousethanedar/Natural-Language-Processing
ghousethanedar/Predicting-Online-Customer-intention
To Analyse the online shopping customer’s intention(behaviour) whether they will generate revenue or not.
ghousethanedar/Python-files
ghousethanedar/simple-django-login-and-register
An example of Django project with basic user functionality.
ghousethanedar/solo
ghousethanedar/SSD-practice-files
ghousethanedar/StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
ghousethanedar/TimeSeriesForecastingInPython
Python notebooks, scripts and tools to create time series models using traditional and deep learning approaches.
ghousethanedar/wk01
ghousethanedar/workshop02
ghousethanedar/WorkshopMLOps
Workshop MLOps Azure