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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.

earthquake_mapping_demo_site

Demo site showing the use of Mapbox to plot earthquakes occurrences

election_analysis

Module 3 Repository

generate-analytics-report

FPDF Practice - Generating Covid-19 Analytics Report PDFS with Python

goddard_shannon_bikesharing

We were introduced to Tableau, one of the most popular data visualization tools today and how it can be used to transform our data into an engaging story for any audience.

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.

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.

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.

kickstarter-analysis

Performing analysis on Kickstarter data to uncover trends

mapping_earthquakes

The Leaflet.js API was used to create a geographical map using earthquake data from a URL using GeoJSON.

mechacar_statistical_analysis

Use of Statistics and R

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.

ml-app

Machine Learning Application from The Data Professor in YouTube

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.

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.

palab---online-shoppers-behavior

Data analysis of online shoppers to determine which factors are more important when deciding whether or not to purchase.

password_demo

Practice of Streamlit Password use

pewlett-hackard-analysis

pgAdmin and PostgreSQL Study

plotlydiploy

publit

Obtain Analytics on Scientific Publications and Authors with search keywords. Build using Streamlit .

pyber_analysis

Challenge 5 - PyBer

school_district_analysis

Analysis on school district performance using Python with Pandas and Jupyter Notebook

seleniumseries

This is the repository for my Selenium Series forked from jimdevops19