belly_button_biodiversity.github.io

coding_practice

credit_risk_classification

Uses various techniques to train and evaluate a model based on loan risk. Uses a dataset of historical lending activity from a peer-to-peer lending services company t o build a model that can identify the creditworthiness of borrowers.

crowdfunding_etl

An ETL project that builds a pipeline of crowdfunding projects using Python, Pandas, and SQL database. An ERD and a table schema is created for support.

dashboard_soccer_performance_vs_money

Dashboard that visualizes the market value and performance of the top soccer teams across Europe. Uses Python, Pandas, and SQL to process and manipulate data, and JavaScript to build the dashboard.

data_engineering_for_pewlett_hackard

Creates an entity relationship diagram; uses SQL for data engineering and data analysis of employee data for a fictitious company.

deep_learning-venture_success

Uses neural network to create a binary classification model to predict if a venture organization will be successful after receiving funding. The model is built on a target variable, SUCCESS, that interacts with various feature inputs. If successful, the model can be used by organizations to select for funding promising venture applicants.

ericyang91

food_hygiene_rating_analysis

The purpose of this project is to lay the groundwork for evaluation of various establishments across the UK. It uses MongoDB to create a database and to import the data and PyMongo to make different queries that are needed for analytical work.

lego_price_dashboard

Created a dashboard using Tableau Public to visualize the evolution of the prices and the number of bricks in a LEGO set. Data was organized using Python.

machine_learning_crypto_clustering

Uses Python, Scikit-Learn, and unsupervised learning - specifically KMeans Algorithm - to predict if cryptocurrencies such as Bitcoin, Ethereum, and Ripple are affected by 24-hour or 7-day price changes.

machine_learning_titanic_survival

Predicting the outcome of passenger survival on the Titanic tragedy using neural networks, logistic regression, and random forest. Generates an interactive dashboard using Tableau.

mars_analysis

netflix_content_distribution_and_trends

Analyze the Netflix dataset using Python to gain insights into the content available on the platform and create an interactive dashboard using Tableau Public.

netflix_through_the_pandemic

Uses Python to analyze the performance of Netflix stock pre to post-pandemic. Includes multiple stock indicators and a comparison to Disney stock.

new_geckodonia

python_analysis_of_financial_and_election_data

This Python project demonstrates a simple data analysis workflow without relying on the pandas library. The goal is to read a CSV file, perform basic data analyses, and generate a text file with the results.

school_budgeting_analysis

Analyzes the district-wide standardized test results of students in PyCity to help the school board and mayor make strategic decisions regarding future school budgets and projects. The data includes every student’s standardized math and reading scores, as well as various information on the school.

sqlzoo

This repository is a comprehensive collection of SQL query solutions, meticulously crafted and tested to ensure accuracy. Whether you're a beginner looking to learn SQL or an advanced user seeking a reliable reference, this repository has something for everyone.

study_of_the_efficacy_of_different_anti-cancer_treatments

This Python-based Exploratory Data Analysis (EDA) aims to assess the effectiveness of Capomulin, an anti-cancer medication, in comparison to other treatment regimens. The initial phase involves an inter-drug comparison, followed by a detailed analysis of Capomulin, which includes the application of linear regression.

surfs_up

Analyzes climate and precipitation in Honolulu, Hawaii using database stored in SQLite. Extracts and transforms the data using SQLite and visualizes the analysis by using Matplotlib.

toronto_bike_share_tableau_project

Tableau interactive dashboard that visualizes the usage of Toronto Bike Share across different months and time blocks.

visualizing_earthquake_data