andrejach Goto Github PK

ab_testing

In this project, I am performing A/B testing for the company’s new website. I performed hypothesis testing with Python and NumPy to determine p-value and used regression models to advise if the company should launch a new website. The result is robust statistical analysis and interpretation of results to ensure the right decision for the company.

amazon_vine_analysis

Analysis using Pyspak, Google Colab, and AWS.

andrejach

My Personal Repository

bikesharing

City Bike Analysis with Tableau

coding-demo1

training in progress...

codingdemo3

prework

credit_risk_analysis

For this project I am utilizing several models of supervised machine learning on credit loan data in order to predict credit risk. I used Python Scikit-learn library and several machine learning models (Supervised Machine Learning Models - Logistic Regression, Random Forest, AdaBoost Classifier, Cluster Centroids, Oversampling & Undersampling) to compare the strengths and weaknesses of ML models and determine how well a model classifies and predicts data.

cryptocurrencies

Supervised ML

dand

Udacity Data Analyst Nanodegree

data_analyst_nanodegree_program_portfolio

Udacity Data Analyst Nanodegree (DAND) Projects Portfolio. This repository is dedicated to Udacity’s Data Analyst Nanodegree Program (DAND). It contains all major projects, completed in the program.

data_engineering

data_investigation

Extensive EDA

election-analysis

In this analysis, I wrote a Python script that generates a vote count per candidate and per county and creates a report for U.S. congressional race in a Colorado precinct.

exploratory_and_explanatory_visualizations

Data Visualization with Python, Pandas, Matplotlib and Seaborn

first-contributions

🚀✨ Help beginners to contribute to open source projects

github-slideshow

A robot powered training repository :robot:

hello-world

My first repo

kickstarter-analysis

For this data analysis, I am using MS Excel, including interactive pivot tables and charts, conditional formatting, advanced filters, VLOOKUPs, Box and Whiskers Charts, and other advanced Excel formulas.

mapping_earthquakes

An interactive earthquake maps with JavaScript and Leaflet

mechacar_statistical_analysis

Statistical Analysis with R - Summary Statistics, T-Tests, ANOVA

mission-to-mars

Web-scraping with HTML and CSS

movies-etl

For this project I am creating an ETL (Extract, Transform, and Load) pipeline using Python, RegEx, and SQL Database. The goal is to retrieve data from different sources, clean and transform it into a useful format and finally load the data into an SQL database where the data is ready for further analysis. The result is an established automated pipeline and a clean data set stored in an SQL database.

my_portfolio

My Personal Page

neural_network_charity_analysis

ML Neural Network Analysis

pewlett-hackard-analysis

In this project, I am using ERDs and Schemas to design databases and writing intermediate-level SQL queries to answer important business questions for the company’s HR department. The result is a well-structured database with implemented constraints, foreign and primary keys.

plotly_deploy

For this project, I am using JavaScript and Plotly.js to create an interactive dashboard for a biotechnology company. The result is a well-designed dashboard with several different charts that clearly communicate findings. The dashboard is deployed via GitHub pages where users can interact with the dashboard.

pp_child_mortality

Child Mortality Analysis

pyber_analysis

Ride Share Analysis with Matplotlib

school_district_analysis

Pandas school grades analysis

stock-analysis

VBA stock-market analysis. For this data analysis I am using Microsoft Visual Basic for Applications as a tool, including conditional statements, for loops, static and conditional formatting, and nevertheless code refactoring in order to improve its efficiency and clarity.