Practical-Data-Science-Project-Portfolio

This repository contains sample projects inspired by the Practical Data Science book by Nathan George.

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Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
data		data
Clustering with Machine Learning.ipynb		Clustering with Machine Learning.ipynb
Data Wrangling Documents and Spreadsheets.ipynb		Data Wrangling Documents and Spreadsheets.ipynb
Evaluating Machine Learning Classification Models and Sampling for Classification.ipynb		Evaluating Machine Learning Classification Models and Sampling for Classification.ipynb
Exploratory Data Analysis and Visualization.ipynb		Exploratory Data Analysis and Visualization.ipynb
Machine Learning for Classification.ipynb		Machine Learning for Classification.ipynb
Machine Learning with Regression.ipynb		Machine Learning with Regression.ipynb
Optimizing Models and Using AutoML.ipynb		Optimizing Models and Using AutoML.ipynb
Preparing Data for Machine Learning Feature Selection, Feature Engineering, and Dimensionality Reduction.ipynb		Preparing Data for Machine Learning Feature Selection, Feature Engineering, and Dimensionality Reduction.ipynb
README.md		README.md
Support Vector Machines ML models.ipynb		Support Vector Machines ML models.ipynb
Tree-Based Machine Learning Models.ipynb		Tree-Based Machine Learning Models.ipynb
Web Scraping and Using APIs for Data Collection.ipynb		Web Scraping and Using APIs for Data Collection.ipynb
Working with Pandas and Numpy.ipynb		Working with Pandas and Numpy.ipynb
Working with Text Files and Databases.ipynb		Working with Text Files and Databases.ipynb
Working_with_Text.ipynb		Working_with_Text.ipynb