Klaudio Kalari's repositories
Amazon_Vine_Analysis
Used MapReduce, (NLP) in relation to big data, Google Colab, AWS , Visual Studio Code to Analyze Amazon Vine Reviews
2020_Election_Results
Showcase the use of Machine Learning, Python 3, NumPy, Anaconda, Jupyter Notebook, Pandas, sklearn,TensorFlow, Keras, plotly, hv plot, MySQL, ETL, Postgres/pgAdmin, JavaScript, Tableau in Predicting 2020 US Election Results.
Belly_Button_Biodiversity_Dashboard
Using Plotly.js, a JavaScript data visualization library, to create an interactive data visualization for the web. Used familiarity with HTML and basic JavaScript
bikesharing
Import, style, and portray data accurately. Then, created worksheets, dashboards, and stories to visualize key data from a New York Citi Bike dataset, using Tableau.
Credit_Risk_Analysis
Use Python to build and evaluate several machine learning models to predict credit risk for FinTech firms.
Cryptocurrencies
Module 18 Unsupervised Machine Learning and Cryptocurrencies
Election_Analysis
Use the programming language Python to create scripts that read, write, and store data from files or in arrays as well as perform mathematical operations.
Mapping_Earthquakes
Use the Leaflet.js Application Programming Interface (API) to populate a geographical map with GeoJSON earthquake data from a URL.
Mission-to-Mars
Use BeautifulSoup and Splinter to scrape full-resolution images of Mars’s hemispheres and the titles of those images, store the scraped data on a Mongo database, use a web application to display the data, and alter the design of the web app to accommodate these images.
Kickstarter-Analysis
Deep dive into Excel.
MechaCar_Statistical_Analysis
Extract, transform, and load (ETL) data; visualize the data; and analyze the data using R, to help a car manufacturer.
Movies-ETL
Using JSQLAlchemy to Perform ETL, Python, Pandas and PostgreSQL to create one function that takes in the three files—Wikipedia data, Kaggle metadata, and the MovieLens rating data—and performs the ETL process by adding the data to a PostgreSQL database.
Neural_Network_Charity_Analysis
Module 19
Pewlett-Hackard-Analysis
Organize and query data, especially on a large scale, with SQL to prepare for “silver tsunami” .
PyBer_Analysis
Use Matplotlib to create different types of charts. Also be introduced to SciPy, a statistical Python package, and NumPy to Analyze Pyber Performance.
School_District_Analysis.
Use Jupyter Notebook and the Pandas library, to read raw data from CSV files, inspect and clean data, merge datasets, perform mathematical calculations, and visualize the data to tell a story.
Stock_Analysis
Analyze stocks using Visual Basic for Applications, or VBA, to add even more analytical power to Excel.
World_Weather_Analysis
Analyze World Weather and Create a Travel Itinerary using Pandas, Matplotlib, SciPy statistics., Citipy, Weather Map API, Gmaps API and Jupyter Notebook.