Pinned Repositories
Amazon_Vine_Analysis
Big Data analysis module with Google Colab, Pyspark, Postgres/pgAdmin, AWS RDS, Pandas and SQL
Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Belly_Button_Biodiversity
The objective is to build an interactive dashboard for exploring the Belly Button Biodiversity dataset, which catalogs the microbes that inhabit human navels and learn how to use the Javascript libraries, D3 and Plotly.
bikesharing
An exercise on Tableau Worksheets, Dashboards and Story Visualization
class_repo
Credit_Risk_Analysis
Using Supervised Machine Learning algorithms to identify credit risks
Cryptocurrency
Unsupervised Machine Learning analysis to find patterns in Cryptocurrencies market valuations.
PALAB---Online-Shoppers-Behavior
Data analysis of online shoppers to determine which factors are more important when deciding whether or not to purchase.
Streamlit-Tutorials-2021-22
Collection of Streamlit Tutorial from the year 2021-22.
Peteresis's Repositories
Peteresis/Cryptocurrency
Unsupervised Machine Learning analysis to find patterns in Cryptocurrencies market valuations.
Peteresis/PALAB---Online-Shoppers-Behavior
Data analysis of online shoppers to determine which factors are more important when deciding whether or not to purchase.
Peteresis/Streamlit-Tutorials-2021-22
Collection of Streamlit Tutorial from the year 2021-22.
Peteresis/Amazon_Vine_Analysis
Big Data analysis module with Google Colab, Pyspark, Postgres/pgAdmin, AWS RDS, Pandas and SQL
Peteresis/Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Peteresis/AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Peteresis/Belly_Button_Biodiversity
The objective is to build an interactive dashboard for exploring the Belly Button Biodiversity dataset, which catalogs the microbes that inhabit human navels and learn how to use the Javascript libraries, D3 and Plotly.
Peteresis/bikesharing
An exercise on Tableau Worksheets, Dashboards and Story Visualization
Peteresis/class_repo
Peteresis/Credit_Risk_Analysis
Using Supervised Machine Learning algorithms to identify credit risks
Peteresis/earthquake_mapping_demo_site
Demo site showing the use of Mapbox to plot earthquakes occurrences
Peteresis/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Peteresis/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Peteresis/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Peteresis/Mapping_Earthquakes
The Leaflet.js API was used to create a geographical map using earthquake data from a URL using GeoJSON.
Peteresis/MechaCar_Statistical_Analysis
Use of Statistics and R
Peteresis/Mission-to-Mars
Create a web application that scrapes data from various websites and displays it in a single HTML page, using Flask, Bootstrap and Python.
Peteresis/Movies-ETL
ETL (Extract, Transform, Load) Practice. Automate the process of reading new data, processing it, and then loading it into new SQL tables. The code uses Python, RegEx, and a SQL database to build an ETL pipeline for this project.
Peteresis/Neural_Network_Charity_Analysis
Use the features in the provided dataset to create a binary classifier that is capable of predicting whether applicants will be successful if funded by Alphabet Soup.
Peteresis/Password_Demo
Practice of Streamlit Password use
Peteresis/Pewlett-Hackard-Analysis
pgAdmin and PostgreSQL Study
Peteresis/plotlydiploy
Peteresis/PubLit
Obtain Analytics on Scientific Publications and Authors with search keywords. Build using Streamlit .
Peteresis/PyBer_Analysis
Challenge 5 - PyBer
Peteresis/SpeechTranscription
Python code to transcribe speech
Peteresis/splinter
splinter - python test framework for web applications
Peteresis/streamlit-sales-dashboard
Make Excel Dashboard in Streamlit
Peteresis/surfs_up
Module 9 - SQLite & SQLAlchemy & Flask
Peteresis/UFOs
JavaScript, Bootstrap, and UFOs. Create a webpage that dynamically filters a dataset based on user inputs. JavaScript, HTML, and CSS are used.
Peteresis/World_Weather_Analysis
Unit 6 Challenge - Use of Python and APIs