Repository containing portfolio of data science projects and courses completed by me for academic, self learning, and hobby purposes. Presented in the form of iPython Notebooks and scripts

disclaimer: Data used in the projects is for demonstration purposes only._

• Machine Learning

  • Machine Learning A-Z™ Udemy course: a complete course in machine learning, I solved all the problems
    • data preprocessing
    • [Regression] (https://github.com/alifars/portfolio/tree/master/%20Regression)

  Tools: scikit-learn, Pandas, Seaborn, Matplotlib, Pygame

• Natural Language Processing

  • iWordSense: a collection of python scripts that I wrote for my master thesis "sense tagging a persian corpus". it contains modules for word sense disbiguation using supervised, semi-supervised and unsupervised machine learning mehtods.

  • Sentiment analysis: Tweeter sentiment analysis Tools: NLTK, scikit

• Data Structure and Algorithms

  • Python for data structures, algorithms and interviews Udemy course: implementation of dynamic array, queue, stack, singly linked list, doubly linked list, binary search tree, graph, etc. in Python. There are set of solved interview questions for each data structure which I compiled from different sources such as litecode, geeksforgeeks

If you liked what you saw, want to have a chat with me about the portfolio, work opportunities, or collaboration, shoot an email at ali.farsi.nejad@gmail.com.