Projects Repository

This repository contains my projects in Data Science domain.

Project Folders

1. Exploring 67 years of LEGO
2. Image-Video Analysis
3. Text-Speech Analysis
4. What's in a Name_
5. Chatbot - Bank Financial Use Case

Getting started

A quick introduction of the minimal setup you need to get notebooks up & running.

Download and Install Anaconda Distribution Python 3.6

Clone this repo and run using Jupyter.

git clone https://github.com/cruseakshay/projects.git

Project Description

Here's a brief intro about the projects in this repository:

• Exploring 67 years of LEGO
  • This project is made using Lego Dataset.
  • Exploration of the distribution of transparent vs. non-transparent colors.
  • Exploration of how the average number of parts in Lego sets has varied over the years.
  • Exploration of how the number of themes shipped has varied over the years.
• Image-Video Analysis
  • In this project commonly used techniques in image/video analysis are implemented.
    • Equilization
    • Filters
      • Gaussion filter
      • Median filter
    • Edge detection
      • Sobel Edge detection algorithm
    • Cornor detection
      • Harris cornor detector
    • Image Classification
      • Using customvision.ai by microsoft cognitive sevices
      • Computer Vision API with OCR capabilities
    • Face Detection and Recognition
      • cognitive_face - python SDK from microsoft
    • Video Analysis
      • videoindexer.ai - for Video Analysis by microsoft
      • videobreakdown API
• Text-Speech Analysis
• What's in a Name_
  • This project is based on a rich dataset of first names of babies born in the US, that spans a period of more than 100 years.
  • Project explores the trends in Names across all the years.
    • Top five most popular male and female names for a decade (born 2011 and later).
  • Project explores the Proportion of Births across years.
  • Project explores the Popularity of Names through the years.
  • Project explores Trendy vs. Stable Names.
  • Distribution of People Alive by Name.
  • Answers questions such as probability that a person with a certain name is alive, as well as the quantiles of their age distribution.
  • Median Age of Top 10 Female Names.
• Chatbot - Bank Financial Use Case
  • This Chatbot is built using Oracle Mobile Cloud Platform which allows users perform banking related task using conversation.
  • User can do the following tasks:
    • find balances in their banking accounts
    • transfer money between banking accounts
    • send money to different people and accounts
    • track their spending within certain period

Links

Useful links:

• My Profiles:
  • Linkedin
  • Datacamp
  • Hackerrank

Licensing

"The code in the projects is licensed under MIT license."