Nastaran Mahmoodzadeh's repositories
Awesome-DataScience-Cheatsheets
Collection of cheatsheets for data science, machine learning and deep learning :).
Chinook_Music_Store
Using *SQL* in a digital music store database, I helped the Chinook company see how they might optimize their business practices. In this project, I wrote queries in the Chinook Database which holds information about the music store, using SQL. For this project, I assisted the marketing team with understanding the media in their store, their customers and employees, and their invoice information.
github-readme-stats
:zap: Dynamically generated stats for your github readmes
Pizza_Restaurant_Analytics
The most popular Pizza Restaurant Chains and types of Pizzas? The State's with the most Pizza Restaurants and the Average Price per State? Where are Pizza Restaurants Located?
SQL_Invoicing_DB
*SQL* queries that I wrote to extract, modify and analyze data off of the 'Invoices Database'
bike_sharing
The bike sharing analysis for my capstone project at University of Texas.
Capital-One
Credit One has tasked me with examining current customer demographics to better understand what traits might relate to whether or not a customer is likely to default (fail) on their current credit obligations. Understanding this is vital to the success of Credit One because their business model depends on customers paying their debts.
Market_Basket_Analysis
Blackwell Electronics' board of directors needs our help to identify purchasing patterns that will provide insight into Electronidex's clientele. We used R to conduct a market basket analysis.
Sentiment_Analysis
We were given a shortlist of devices capable of executing the app suite’s functions, and we were asked to examine the prevalence of positive and negative attitudes toward these devices on the web. Our goal is to narrow this list down to one device by conducting a broad-based web sentiment analysis to gain insight into the attitudes about the devices. For the second part of the project, we will investigate predictive models using machine learning methods. We will apply these models to the Large Matrix file to complete the analysis of overall sentiment toward both iPhone and Samsung Galaxy.
TV_the_office
The Office! What started as a British mockumentary series about office culture in 2001 has since spawned ten other variants across the world, including an Israeli version (2010-13), a Hindi version (2019-), and even a French Canadian variant (2006-2007). Of all these iterations (including the original), the American series has been the longest-running, spanning 201 episodes over nine seasons.
Data-Analysis
Data Science Using Python
data_engineering
Data Engineering
github-slideshow
A robot powered training repository :robot:
hello-world
This is going to be my first repository
iris
Practicing Visualization Tools in Python: Matplotlib and Seaborn Libraries
Oldest_Business-SQL-
What and Where Are the World's Oldest Businesses?
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
SQL-Data-Analysis-and-Visualization-Projects
SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.
SQL_Complex_Queries
To modify, and analyze data by writing complex queries using *SQL* language