Skip to content
View milyasyousuf's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report milyasyousuf

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
milyasyousuf/README.md

# Hello, folks! πŸ‘‹

My name is Muhammad Ilyas and I'm a Full Stack developer and Product Manager.

# About

I have been making constant efforts to make a mark in the field of Computer Science, a thirst for knowledge and a productive approach to practicality, I am yearning to unleash my utmost potential. I have always been inspired by people who started almost from nothing and made a name for themselves. I aspire to become one of them. I see myself as capable of heading my own career and bring it to such a level that it would impact other people and change their lives.

πŸ”§ Technologies & Tools

Python, Django, React.Js, Vue.js, AWS, Linux, Docker and Kubernetes

Here are some ideas to get you started:

  • πŸ”­ I'm currently working on different Digital Commerce projects

Connect with me:

milyasyousuf | Twitter milyasyousuf | Twitter milyasyousuf | LinkedIn milyasyousuf | Instagram

Pinned Loading

  1. awesome-machine-learning awesome-machine-learning Public

    Forked from josephmisiti/awesome-machine-learning

    A curated list of awesome Machine Learning frameworks, libraries and software.

    Python

  2. factoryPatternExample factoryPatternExample Public

    Java

  3. lexicalAnalyzer- lexicalAnalyzer- Public

    This is simple implementation of lexical analyzer on java language.

    Java

  4. MipsAssemblyCode MipsAssemblyCode Public

    I have created assembly program try it

    Assembly 1

  5. The KMeans algorithm clusters data b... The KMeans algorithm clusters data by trying to separate samples in n groups of equal variance, minimizing a criterion known as the inertia or within-cluster sum-of-squares. This algorithm requires the number of clusters to be specified. It scales well to large number of samples and has been used across a large range of application areas in many different fields.
    1
    ##################################################################
    2
    # Kmean algorithm basic implementation using scikit lean	 #
    3
    # By: Muhammad Ilyas    					 #
    4
    # email: [email protected]					 #
    5
    # source: http://scikit-learn.org/stable/auto_examples/cluster/  #
  6. FacebookScraper FacebookScraper Public

    Forked from ihalloum/FacebookScraper

    This script scrape posts and comments from facebook pagesmgroups and store its with their details in mysql databases

    Python