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66daysofdata

This repo is the part of #66daysofdata tag challenge I've participate in both Twitter and LinkedIn. Repo will consists of different techniques and insights I can across while solving different problems related to data science.

android-archive

Repo consisting of old android projects.

android-projects

androidintentproject

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-list-of-awesomes

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

awesome-ml-stack

A curated list of up-to-date company blogs and media on their machine learning stacks.

aws-textract-ocr

Extraction of text from images on Amazon S3 bucket using Amazon Textract API. Note: "trp" stands for "Textract Response Parser" modules.

dash_app_fmo

data-analysis

Repo consisting of data analysis projects performed on different datasets. You can find the analysis done in Jupyter notebook with an explanation in the markdown cell.

data-science

Data Science Repo consisting of Machine learning using Scikit-Learn and Deep Learning using Tensorflow2 with Keras.

data-science-template

Template for a data science project

data_parser

BlueNode interview assignment

deploying-ml-models

Deployment of ML-models using web development.

emailclient

Email test client in flask

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

front-end

heart-disease-classificaton

Repo consists of heart disease classification machine learning app deployed on Heroku using GitHub Actions.

house-price-prediction-regression

Full-stack Data Science project for House Price prediction involving Exploratory Analysis, ML pipeline, Model API development, and Model Deployment.

hybrid_app

mattobad

mattobad.github.io

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

pneumonia-detection-deep-learning

Applying deep learning techniques for traces of pneumonia from the DICOM files. The process involves image extraction from DICOM files and Binary Image Classification using Tensorflow-Keras.

python-for-data-science

springjava

vehicle-interval-model

Deploying the Machine learning model as a Serverless API through AWS using Zappa.