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aws-codepipeline

codepipeline using the cdk

aws-codepipeline-ts

bigdatatech

This Repository contains the small projects related to Hive, Hadoop, and Spark. Its my contribution of learning new technology and provide my concise knowledge on big data different infrastructures.

cnn-benchmarks

Benchmarks for popular CNN models

data-analytic-projects

This repo consist data analytic related projects.

deep_learning_nanodegree-udacity

This repository contains different projects and deep learning concept notebooks. I mostly used PyTorch to develop ANN, RNN, CNN, GAN/DCGAN algorithms. I used AWS services such as Sagemaker, lambda, Restful API, EC2 and EMR during learning phase. 'Orca is deep diver dolphin, shows my honest approach to deep dive in the field of AI.

deploy_eks_using_github-action

devops

docker-react

dockerizing react application. Use travis CI for continuous integration and AWS service for hosting. Application is tested before local server and nginx. Please, feel free to ask any questions related to work

go-hand_on_practice

Learning GO - as faster ML Language with good computation capability, Easy for coding concurrency and statestical Modeling.

improvedgan-pytorch

Semi-supervised GAN in "Improved Techniques for Training GANs"

java

Revise Java with Practical examples with OOP concepts.

kaggle_competitions

leetcode

Solution of Coding Problems

microservices-docker-kubernetes

Here, I am trying to dockerize node js, react type applications using docker and kubernetes. I am using Travis CI as CI/CD tool. I also deploy the app on AWS using Elastic BeanStalk.

ml-pipeline-using-kubeflow-on-aws-eks

This repository contains the releveant code used for generating kubeflow pipeline on aws EKS services, the documentation contains the detail information regarding kubernetes cluster generation accoring the load requirement, and its management. The ideas are taken from AWS official EKS work shops and redditmlpipeline. My appraoch is to understand and learn the machine learning service deoployment using microservices on cloud. Thank you for your interest.

multi-docker

multi-k8s

natural-language-processing

original-handson-packages

project.canada_social_census_data_analysis-tableau_19

project.ml_pipeline-mlops

project.sentiment-analytic-sagemaker-deployment

AWS ML model deployment process

project.toxic-comment-removal-kubeflow-pipeline

This project is based on building a ML pipeline using kubeflow on AWS cloud (EKS). The ML project is about to remove the toxic comments from reddit dataset (provided by kaggle) using NLP state of art models. Main focus is to ...

project.uk_price-prediction_capstone

Its my first Capstone_Project to understand the essence of applied data science based on the real life problem and their Solutions.

project.unsupervised-neural_network-approach-to-survey_missing_data-imputation-self-organizing-map

Use the unsupervised learning method (Self Organizing Map) to impute Missing data

researching.feature_selection_effect_on-mlmodel-performance

Observe the improvement of Machine Learning Algorithms, their time and Computational Complexity with Dimension_Reduction and Feature Selections Methods.. [CFS, LLCFS, UDFS]

store-management_web-service

REST API with Flask and Python.

stores-rest-api

An items, stores, and authentication REST API from the REST API course

stores-rest-api-heroku

Create REST API using Python and Flask. Deploy on Heroku. I used sqlite3, SQLAlchemy and python packages during this project. Currently working on deployment on Digital Ocean with custom server configurations.