Inna Baloyan's GitHub's Projects
:atom: The hackable text editor
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Interactive Dashboard to explore the Belly Button Biodiversity Dataset. Deployed to Heroku: https://biodiversity-ib.herokuapp.com Technologies=> JavaScript, Plotly.js, Flask, SQLite, Heroku
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
Climate Analysis and Exploration of the last year data before the trip to Hawaii
Curriculum Resources By Topic
Building the scatter plot, Smokers vs Age, USA data. Technologies => JavaScript, D3.js, HTML, CSS, Heroku PHP deployment
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
Official guide repo used to accompany video tutorials in the docker course.
Source code for James Lee's Docker course
Apache Kafka and Confluent Platform examples and demos
Code and changes for each lecture of the Flask-JWT-Extended section
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
Inna's Github
A small repository to accompany our "How to interact with REST APIs from JavaScript" blog post
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.
Analysis of the crowdfunding service, Kickstarter, using Excel features including pivot tables
Media tweets sentiment analysis
Open Machine Learning course mlcourse.ai, both in English and Russian
SQL, SQLAlchemy, Python
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
Heroes Of Pymoli Game Data Analysis using Pandas Library and Jupyter Notebook
My Data Analytics Portfolio with the most recent projects at http://www.inna-baloyan.com/ domain.
A repository you can clone to test your Flask app deployment in a Linux server!
Revamped final project for our Complete Python Web course
Pyber Ride Sharing Data (2016) Scatter Plot and Pie Charts of Total Fares, Total Rides and Drivers by City Type
All Algorithms implemented in Python
Python Challenge, PyBoss and PyPoll
A Python refresher section for all our courses
A small repository of projects built in my course, REST APIs with Flask and Python.