Erdem John Balikci's repositories
banking-vs-unemployment
Retrieved and plotted data from the 2013 US Census and Google Places API to show the relationship between various socioeconomic parameters and bank count across 700 randomly selected zip codes.
data-science
This repo is designated to have a structure while using Python for Data Science. Some of the work is from the book I used and some of the codes are mine.
mrbalikci.github.io
Welcome to my portfolio. A young professional here with a passion to learn!
web-vehicle-app
Create a web app to get basic info about a vehicle
airport-ratings-google-api
Created a Data Frame containing the rating of every airport in the top 100 US metropolitan areas according to Google Users.
banking-analysis
The task is to randomly sample a set of 700+ zip codes from the US Census_Data.csv and then utilize both the Google Geocoder and Radar APIs to identify the number of banks in each of these zip codes within a 5 mile radius of a given point.
energy-data-analysis
Find any relationship between energy consumption and temperature, weather and any other factors such as seasons, holidays, etc.
erdem-resume
Certified Data Analyst: Adept experience collecting, cleaning, analyzing, and making meaningful stories out of the data with the best tools available.
erdembalikci
the ebru art
machine-learning
Machine learning techniques and algorithms: Neural Network, Random Forest, Gradient Boosting, Linear and Logistic Regression, SVM, Data Visualization, Statistical Modeling, Linear Regression
machine-learning-nyc-taxi-model
Use TensorFlow to create a neural network model to forecast taxicab demand in NYC. Tools: Google Cloud, Python, TensorFlow
micro-strategy
MicroStrategy is an enterprise business intelligence (BI) application software vendor. The MicroStrategy platform supports interactive dashboards, scorecards, highly formatted reports, ad hoc query, thresholds and alerts, and automated report distribution.
most-happy-airlines
VADER - Sentiment Analysis for top 8 airlines of 2018 around the world
neural_network_smarthphone
Applied Neural Network Machine Learning to Predict human activity using smartphone sensor data.
object-oriented-programming
Object-oriented programming (OOP) is a programming language model organized around objects rather than "actions" and data rather than logic. Historically, a program has been viewed as a logical procedure that takes input data, processes it, and produces output data.
quantitative-retail-data-analysis
A large retail data set is analyzed, correlations between columns discovered, time series charts generated, hypothesis testing tested, and insights for cases were determined.
trending-hashtags-twitter
Calculated the frequency of tweets containing the following hashtags: #TAMAM, #DEVAM, #SIKILDIK