tmbiro

belly-button-challenge

In this challenge, I built an interactive dashboard to explore the Belly Button Biodiversity dataset.

credit-risk-classification

In this repository, I use various techniques to train and evaluate a model based on loan risk. I use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

CryptoClustering

Clustering cryptocurrencies for best value by scaling data, finding the best value for k, clustering using k-means, optimizing clusters using principal components analysis, and finding best value using PCA data.

data_visualization

Applying Matplotlib to a real-world situation and dataset

deep-learning-challenge

Using TensorFlow to design a neural network, or deep learning model, to create a binary classification model for predictions

ETL_Project

Practice building an ETL pipeline using Python, Pandas, and either Python dictionary methods or regular expressions to extract and transform the data. After you transform the data, you'll create four CSV files and use the CSV file data to create an ERD and a table schema. Finally, you’ll upload the CSV file data into a Postgres database.

Home_Sales

Use of SparkSQL to determine key metrics about home sales data by creating temporary views, partitioning the data, caching and uncaching a temporary table, and verifying that the table has been uncached.

lvPhon

Repository for data cleaning and analysis of speech produced by patients' with logopenic primary progressive aphasia

pandas_challenge

In this repository, I create and manipulate Pandas DataFrames to analyze school and standardized test data.

Project-3-Unidenified-Falling-Objects-

Created a webpage with a Leaflet map that shows UFO sightings, meteorites, and military bases.

tmbiro/belly-button-challenge

In this challenge, I built an interactive dashboard to explore the Belly Button Biodiversity dataset.

tmbiro/credit-risk-classification

In this repository, I use various techniques to train and evaluate a model based on loan risk. I use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.

tmbiro/CryptoClustering

Clustering cryptocurrencies for best value by scaling data, finding the best value for k, clustering using k-means, optimizing clusters using principal components analysis, and finding best value using PCA data.

tmbiro/data_visualization

Applying Matplotlib to a real-world situation and dataset

tmbiro/deep-learning-challenge

Using TensorFlow to design a neural network, or deep learning model, to create a binary classification model for predictions

tmbiro/ETL_Project

Practice building an ETL pipeline using Python, Pandas, and either Python dictionary methods or regular expressions to extract and transform the data. After you transform the data, you'll create four CSV files and use the CSV file data to create an ERD and a table schema. Finally, you’ll upload the CSV file data into a Postgres database.

tmbiro/Home_Sales

Use of SparkSQL to determine key metrics about home sales data by creating temporary views, partitioning the data, caching and uncaching a temporary table, and verifying that the table has been uncached.

tmbiro/lvPhon

Repository for data cleaning and analysis of speech produced by patients' with logopenic primary progressive aphasia

tmbiro/pandas_challenge

In this repository, I create and manipulate Pandas DataFrames to analyze school and standardized test data.

tmbiro/Project-3-Unidenified-Falling-Objects-

Created a webpage with a Leaflet map that shows UFO sightings, meteorites, and military bases.

tmbiro/Project-4

Training machine learning algorithms to identify poisonous vs. non-poisonous mushrooms based on text descriptions

tmbiro/python-api-challenge

Working with APIs

tmbiro/python-challenge

These scripts use Python to create summary statistics tables for data stored in .csv files.

tmbiro/sql-challenge

For this project, I used SQL to perform data modeling, data engineering, and data analysis, respectively.

tmbiro/sqlalchemy-challenge

For this challenge, imagine you've decided to treat yourself to a long holiday vacation in Honolulu, Hawaii. To help with your trip planning, you decide to do a climate analysis about the area.

tmbiro/tmbiro.github.io

tmbiro/VBA-challenge

VBA script generates a summary table for stocks that shows each stock's raw and percent difference in price at the beginning of a year vs. the end of a year and the total volume traded for the year.

tmbiro/web_scraping

1) Scrapes titles and preview text from Mars news articles. 2) Scrape and analyze Mars weather data.