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Inna Baloyan's GitHub's Projects

atom icon atom

:atom: The hackable text editor

belly-button-biodiversity icon belly-button-biodiversity

Interactive Dashboard to explore the Belly Button Biodiversity Dataset. Deployed to Heroku: https://biodiversity-ib.herokuapp.com Technologies=> JavaScript, Plotly.js, Flask, SQLite, Heroku

climate-dashboard icon climate-dashboard

How does latitude affect the weather? This project is a Web Visualization Dashboard, which illustrates how temperature, humidity, cloudiness and wind vary depending on latitude. The landing page has a navigation bar with Latitude(reset) button and dropdown menu with Comparison, Data, and Plots (4 Visualizations). 4 miniature images on the right, are clickable and show more details for each visualization, allow to switch between 7 pages. Technologies => Bootstrap, CSS[WebDashStyle.css], HTML, Heroku PHP deployment

climateanalysis icon climateanalysis

Climate Analysis and Exploration of the last year data before the trip to Hawaii

data-journalism-and-d3 icon data-journalism-and-d3

Building the scatter plot, Smokers vs Age, USA data. Technologies => JavaScript, D3.js, HTML, CSS, Heroku PHP deployment

datadash icon datadash

Data Dash is a marketing consulting company that specializes in the mining of and analysis of social media data. Compiled a dataset of possible influencers, used Tweepy (Twitter) API and Vader Sentiment analysis to produce a list of potential spokespersons that have the most potential as influencers based on a combination of number of followers, total tweets, and overall positivity. Visualizations through Scatter plots, Histograms, and Pie charts. Technology => Python, Jupyter, Pandas, Numpy, Seaborn, Matplotlib, Vador, Tweepy API

docker-guides icon docker-guides

Official guide repo used to accompany video tutorials in the docker course.

examples icon examples

Apache Kafka and Confluent Platform examples and demos

full_stock icon full_stock

Building JavaScript plots [Plotly,Chart] based on life span stock data from Quandl API for Apple, IBM, Microsoft and Intel. Technologies => JavaScript, Plotly.js, Chart.js, Python, Jupyter, Flask, MongoDB, HTML/CSS, Heroku PHP deployment

javascript_dom_manipulation icon javascript_dom_manipulation

Technologies => JavaScript, HTML, CSS, and D3.js Creates a table dynamically, using provided dataset, and allows users to filter the table data for specific values.

mlcourse.ai icon mlcourse.ai

Open Machine Learning course mlcourse.ai, both in English and Russian

nj-re-trends icon nj-re-trends

Use Machine Learning to research New Jersey Real Estate Trends. This app helps those who want to live in NJ to find the right town, depending on their priorities. User weighs desired factors, gets the best place to live by zip code. Technologies => Python: Pandas, Sklearn, K-means Clustering, Pickle, Flask, Pymongo, Json, HTML/CSS/JavaScript, MongoDB, AWS, Attom Data APIs

portfolio icon portfolio

My Data Analytics Portfolio with the most recent projects at http://www.inna-baloyan.com/ domain.

pyber-analysis icon pyber-analysis

Pyber Ride Sharing Data (2016) Scatter Plot and Pie Charts of Total Fares, Total Rides and Drivers by City Type

python icon python

All Algorithms implemented in Python

rest-api-sections icon rest-api-sections

A small repository of projects built in my course, REST APIs with Flask and Python.

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