aliyusifov99

Ali Yusifov

analyze-fashion-product-reviews

Clothing brands, shops, retailers, and E-commerce sites can greatly benefit from understanding how their products are received and where they can improve. A lot of the relevant data is present in textual form, in the shape of social media posts, feedback e-mails, etc. Here it was analyzed fashion product reviews, and predicted a numeric rating as well as whether or not the reviewer would recommend the product.

back-allocation-using-machine-learning

covid19-analysis-with-sql

In this repository I will share my SQL codes for different data analysis projects.

cs50_harward

This repo contains Labs and Problem Sets I worked on during CS50 course offered by Harward University

dsa

Practice Data Structures and Algorithms

ea-todo

To do desktop application using PySide6

fyp

Back Allocation Using Machine Learning Algorithms

hollywood-theatrical-market-synopsis-1995-to-2021

iba-competition

job-board-data-scraping

Job Board Data Web Scraping Automation With Python

kaggle-competition

laptop_price_predictor

In this project I built entire system for laptop price prediction. It started from data analysis till website deployment.

limit-my-expenses

loan-default-probability

Required to predict the probability of bank customers defaulting on their loans or credit lines (such as credit cards).

mec-ds-competition

ml_course_utp

my-dvc-repo

nasa-portfolio-project

openserver_with_python

Python with Petroleum Experts OpenServer

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

petrobot

Chatbot for software manuals in Petroleum Industry

power-bi-practice

Learning Power BI using Power BI Practical Guide course by Udemy

py

Repository to store sample python programs for python learning

pyqt

Leaning PyQt

well-log-data-analysis

well_log_syntethic_data

youtube-reddit-video-bot

This project aims to develop a bot that can extract topic-specific videos from Reddit and upload them to YouTube.