Mofid-Securities-Contest
Here are my final codes for Mofid Securities (Iran's largest full-service stock brokerage firm) contest, 1 Jan 2021.
Table of Contents
Description
During this ten-hour contest, I was supposed to tackle six questions that were mostly related to NLP. The questions were designed from easy to hard level and covered various
subjects such as basic Python programming, NLP, Emotion Recognition, and Data Science in general. At the end of the competition, I placed 34 (top 2%) among 1960 participants.
You can look further into questions by clicking on the link below: https://quera.ir/contest/assignments/24489/problems
It is worth mentioning that the dataset for problem6 (ShEMO) can be find here https://github.com/mansourehk/ShEMO
Techniques
- Python Programming
- Natural Language Processing (NLP)
- Speech Processing (more specifically Emotion Recognition)
- Tabular Data (Feature Extraction, Feature Encoding)
- Machine Learning Models
License
MIT License
Copyright (c) [2020] [Shakib Yazdani]
Author Info
- Twitter - @iamshakibyz
- LinkedIn - shakib-yazdani