/machine-learning

Practical Full-Stack Machine Learning

Primary LanguageJupyter Notebook

Machine Learning

General Setup

Data Analysis

Tutorials

Article Notebook / source code
Using Pandas pipe function to improve code readability notebook
Using Pandas method chaining to improve code readability notebook
What is One-Hot Encoding and how to use Pandas get_dummies function notebook
7 setups you should include at the beginning of a data science project notebook
6 Pandas Tricks you should know to speed up your data analysis notebook
4 tricks you should know to parse date columns with Pandas read_csv() notebook
Pandas read_csv() tricks you should know notebook
Working with datetime in Pandas DataFrame notebook
When to use Pandas transform() function notebook
Difference between apply() and transform() in Pandas notebook
Introduction to Pandas apply(), applymap(), and map() TBA soon
Working with missing values in Pandas TBA soon
Pandas Equivalents of various SQL queries TBA soon
A Practical Introduction to Pandas pivot_table() notebook
Creating conditional columns on Pandas with Numpy select() and where() methods notebook
How to do a Custom Sort on Pandas DataFrame notebook
Pandas concat() tricks you should know to speed up your data analysis notebook
Pandas resample() tricks you should know for manipulating time-series data notebook
All the Pandas merge() you should know for combining datasets notebook
All the Pandas shift() you should know notebook
All Pandas read_html() you should know for scraping data from HTML tables notebook
How to convert JSON into a Pandas DataFrame? notebook
A Practical Introduction to Pandas Series notebook
Pandas cut() to transform numerical data into categorical data notebook
Pandas json_normalize() for flattening JSON notebook
Renaming columns in a Pandas DataFrame notebook
Pandas groupby() for grouping data and performing operations notebook
Pandas loc and iloc for selecting data notebook
Accessing data in a MultiIndex DataFrame notebook
Finding and removing duplicate rows in Pandas DataFrame notebook
10 tricks for Converting data to a numeric type in Pandas notebook
10 tricks for Converting numbers and strings to datetime in Pandas notebook
8 Commonly used Pandas display options you should know notebook

Applied Data Analysis and EDA

Web scraping

Data Visualization

Altair

Matplotlib

TensorFlow in practice

Scikit-Learn in practice

PyTorch in practice