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Molly Strickland's Projects

datafun-01-attr-1 icon datafun-01-attr-1

Week 1 - P1: Create a New Python Module (Company Byline). This module provides a reusable byline for the author's services. The goal of this module is to showcases 'Vance Analytics' superb skills in the world of consulting and analytics.

datafun-02-projsetup icon datafun-02-projsetup

Develop a Python module that demonstrates proficiency in loops, project folder creation using pathlib, and importing modules. This module should include reusable functions for creating sets of project folders based on various criteria.

datafun-04-jupyter icon datafun-04-jupyter

Develop a Jupyter Notebook that demonstrates skills with Jupyter and guided exploratory data analysis.

datafun-05-sql icon datafun-05-sql

Create a Python script that demonstrates the ability to interact with a SQL database, including creating a database, defining a schema, and executing various SQL commands. Incorporate logging to document the process and provide user feedback.

datafun-07-ml- icon datafun-07-ml-

Introduction to Machine Learning: We'll employ a type of supervised learning, simple linear regression, to train a model using all available data and use the resulting model (a "best-fit" straight line) to make predictions.

heart-disease-dataset-analysis icon heart-disease-dataset-analysis

Heart Disease Dataset Analysis using Pandas" GitHub repository! In this project, we delve into the fascinating field of data analysis by exploring a heart disease dataset using the powerful Python library, Pandas.

tcr-project-calorie-expenditure-modeling-using-xgboost icon tcr-project-calorie-expenditure-modeling-using-xgboost

This project predicts calories burned using exercise and demographic data. It involves data cleaning, merging, visualization, and model training with XGBoost, showcasing the application of machine learning in health and fitness.

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