Stephen-Rimac/Python-for-Data-Scientists

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Jupyter Notebook
Created over 6 years ago
Updated over 4 years ago

Stephen-Rimac/Python-for-Data-Scientists

Stephen-Rimac

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Deliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.

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This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for many data science projects.

Instructions

You can insert "scratch" code cells using Insert > Insert Cell Below/Above in the toolbar.
Remember, to run a cell, you can click into it anywhere and press Shift + Enter.
The Green text in the code cell, usually preceded by a pound sign (hashtag or #) is a comment and is not executed.
A project_files folder accompanies the download from GitHub. It contains important data needed for some of the analyses in the notebook.

Table of Contents

Python Basics
Data Structures
Flow and Functions
NumPy
Pandas

Regression-Real-Estate-Pricing-Machine-Learning-Model

Deliverable: Real-estate pricing machine learning regression model using dataset of transaction prices for previous properties on the market.

Jupyter Notebook

Employee-retention-machine-learning-model

Deliverable: HR employee retention/churn machine learning classification model using dataset of past employees and their status (still employed or already left). Deliverable also includes executable model script.

Jupyter Notebook

Image-classification-Deep-Learning-CNN

Deliverable: This Jupyter notebook will help aspiring data scientists learn and practice the necessary python code needed for creating a world-class deep learning image classifier using a convolutional neural network deep learning algorithm.

Jupyter Notebook