This is the link of all blog posts categorized based on topics. At present it is not so much organized. I will try in future to make it more readable and user friendly. For my referece this is the link for Markdown.

New papers Tutorial

• Nougat to read scientific PDFs

Data Science steps to follow

• Explanatory Data Analysis

  • Feature Preprocessing and Generation

  • Exploring Anonymized Data

  • Feature Extraction From Text

  • Feature Extraction From Images

  • Example Notebook for EDA

• Validation Strategy and things to consider

Fastai course description 2022

• Lesson 9 Description
• Lesson 10 Description part one

  Jeremy live coding description 2022

• live-coding_1-4

Cloud Computing

• Building containerized application with AWS (coursera)

  • Introduction to AWS
  • Using Containers
  • Managing Containers
  • Kubernetes
• Builder a node.js app with docker and pushing it to registry
• Introduction to kubernetes hands on exercise
• Scaling up and updating an app using kubernetes
• Deploying and scaling app with kubernetes introduction

Computer vision

Basic Image Processing

• Image loading using PIL and opencv
• Image Manipulating using PIL and opencv
• Spatial filtering

Object Detection

• Covid Mask detection

ML in production (coursera)

1.Introduction to ML in production

• course 1 week 1
• course 1 week 2
• course 1 week 3

2.Machine Learning Data Lifecycle in Production

• course 1 week 1
• Notebook

Linux server preparation for deployment

• Deploying an app in a linux server using linode

Tutorial

Basic Statistics

• IBM coursera statistics with python class note

Git Tutorial

• Command line basics
• Fixing mistake and bad comments

Nbdev Tutorial

• Nbdev with Quatro worker round

Problems

• Apex_installation