TanishaCooper

big-data-challenge.

Many of Amazon's shoppers depend on product reviews to make a purchase. Amazon makes these datasets publicly available. They are quite large and can exceed the capacity of local machines. One dataset alone contains over 1.5 million rows; with over 40 datasets, data analysis can be very demanding on the average local computer. Your first goal for this assignment will be to perform the ETL process completely in the cloud and upload a DataFrame to an RDS instance. The second goal will be to use PySpark or SQL to perform a statistical analysis of selected data.

citi_bike_tableau

create visualizations for citi bike data using tableau

deep_learning_charity_funding-_predictor

The nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures. With your knowledge of machine learning and neural networks, you’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.

emojigame

Game developed from Scratch to guess that emoji

ETL_Case_Study

Track COVID-19 vaccinations around the world using extract, transform, and load functionality.

handyman_services

Handyman Services Website

leaflet-challenge

Visualize past 7 days earthquakes and magnitude via maps using leaflet and plotly that will allow the USGS to better educate the public and other government organizations (and hopefully secure more funding) on issues facing our planet.

TanishaCooper

README for Github profile

The-VBA-of-Wall-Street

Utilize VBA scripting to analyze real stock market data for 3 consecutive years (2018 - 2020).

unsupervised_machine_learning

Use unsupervised learning by fitting data to a model and using clustering algorithms to place data into groups of patients with or without myopia. Then, create a visualization that shares your findings.

TanishaCooper/unsupervised_machine_learning

Use unsupervised learning by fitting data to a model and using clustering algorithms to place data into groups of patients with or without myopia. Then, create a visualization that shares your findings.

TanishaCooper/big-data-challenge.

Many of Amazon's shoppers depend on product reviews to make a purchase. Amazon makes these datasets publicly available. They are quite large and can exceed the capacity of local machines. One dataset alone contains over 1.5 million rows; with over 40 datasets, data analysis can be very demanding on the average local computer. Your first goal for this assignment will be to perform the ETL process completely in the cloud and upload a DataFrame to an RDS instance. The second goal will be to use PySpark or SQL to perform a statistical analysis of selected data.

TanishaCooper/citi_bike_tableau

create visualizations for citi bike data using tableau

TanishaCooper/deep_learning_charity_funding-_predictor

The nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures. With your knowledge of machine learning and neural networks, you’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.

TanishaCooper/emojigame

Game developed from Scratch to guess that emoji

TanishaCooper/ETL_Case_Study

Track COVID-19 vaccinations around the world using extract, transform, and load functionality.

TanishaCooper/handyman_services

Handyman Services Website

TanishaCooper/leaflet-challenge

Visualize past 7 days earthquakes and magnitude via maps using leaflet and plotly that will allow the USGS to better educate the public and other government organizations (and hopefully secure more funding) on issues facing our planet.

TanishaCooper/TanishaCooper

README for Github profile

TanishaCooper/The-VBA-of-Wall-Street

Utilize VBA scripting to analyze real stock market data for 3 consecutive years (2018 - 2020).

TanishaCooper/matplotlib-challenge

Good data tells story! Even better if you are able to visualize the data. Matplotlib applied to real-world situations help to showcase the importance of data analysis. At a Pharmaceutical company, based in San Diego, you have been given access to the complete data from their more recent animal study. The study aimed to compare the performance of Pymaceuticals' drug of interest, Capomulin, versus th other drug treatment regimens. Executives have tasked you to generate all of the tables and figures needed for the technical report of the study. They requested a top-level summary of the study results.

TanishaCooper/pandas-challenge

Creating and manipulating Pandas DataFrames to analyze school and standardized test date

TanishaCooper/plotly_challenge

The plotly challenge is the build of an interactive dashboard to explore the "Belly Button Biodiversity" dataset, which catalog the microbes that colonize human navels.

TanishaCooper/projectone_groupfour

Data project one

TanishaCooper/python-api-challenge

Using Python requests, APIs, and JSON, we are set off to answer "what's the weather like near the equator?". I know you maybe thinking that it's "hot" of course. But, can you prove it?

TanishaCooper/python-challenge

Python script to analyze the financial records of a company and modernize a small, rural town vote counting process

TanishaCooper/python-challenge-1

PyBank and PyPoll

TanishaCooper/sql-challenge

Research project on Pewlett Hackard employees from the 19802 and 1990s using SQL: data modeling, data engineering, and data anlysis.

TanishaCooper/sql-challenge-1

This project utilizes Data Engineering and Data Analysis to build a SQL database of employees of a corporation called Pewlett Hackard from the 1980s and 1990s.

TanishaCooper/sql-challenge-2

SQL Homework - Employee Database: A Mystery in Two Parts. We will design the tables to hold data in the CSVs, import the CSVs into a SQL database (Postgres), and answer questions about the data.

TanishaCooper/sqlalchemy-challenge

Planning a vacation to Hawaii. I used SQLAlchemy to extract the temperature data for our vacation dates to see when is the best time to visit. Also, if June and December have a meaniful difference between temperature. Used a paired t-test to determin whether the difference in the mean is statistically significant. I used tools such as Python, SQLAlchemy, Pandas, Matplotlib, JSON and Flask API. In addition to the analysis deliverable, I designed a climate app using Flask.

TanishaCooper/sqlalchemy-challenge-1

TanishaCooper/sqlalchemy-challenge-2

Homework 10- Climate Analysis and Exploration

TanishaCooper/supervised_machine_learning

Build a machine learning model that attempts to predict whether a loan will be approved or not using Logistic Regression model and Random Forest Classifier

TanishaCooper/TanishaCooper.github.io

Project portfolio

TanishaCooper/Web-Design-Challenge

Web-Design-Challenge

TanishaCooper/web-scraping-challenge

Build a web application that scrapes various websites for data related to the Mission to Mars and displays the information in a single HTML page.