Datakademy

This video covers how to prepare hugging face datasets. Subscribe to 💎 Datakademy to learn something new every day! 📲

This video covers how to load hugging face datasets. The next video will go over how to prepare and join the data. Subscribe to 💎 Datakademy to learn something new every day! 📲

In this video we live code the code generator project. Please forgive the background noise in the second half of this video. It was the boiler. Project idea: https://www.dataquest.io/blog/python-projects-for-beginners/ Subscribe to 💎Datakademy to learn something new everyday! 📲

Most of the time in your daily work, you'll repeat using the same basic workflow. We cover that important workflow step by step in this tutorial. This involves git clone/git pull, create a new branch, git add, git commit, git push, create the pull request, merge and delete the new branch. Subscribe to 💎Datakademy to learn something new everyday! 📲

In this tutorial, we walk through a diagram showing a typical Git workflow. Subscribe to 💎Datakademy to learn something new everyday! 📲

Welcome to the new playlist Beginner Python Projects! We plan out the code generator mini project in this video. Project idea: https://www.dataquest.io/blog/python-projects-for-beginners/ Subscribe to 💎Datakademy to learn something new everyday! 📲

In this tutorial, we go over some more basics of using Git including add, commit, and push. We also look at how to configure Git to save GitHub credentials for easy pushing in the future. Subscribe to 💎Datakademy to learn something new everyday! 📲

In this tutorial, we go over the steps to install Git, configure Git, initialize a repository, create a GitHub repo, and add it as a remote for Git. Subscribe to 💎Datakademy to learn something new everyday! 📲

In this video, we learn the basics of object oriented programming. Some topics covered are classes, instances, the __init__ function, attributes, and methods. Subscribe to 💎Datakademy to learn something new everyday! 📲 0:00 - What are classes? 0:25 - Creating a class 0:52 - Creating an instance of a class 1:16 - Instance variables and attributes 2:28 - The __init__ function and "self" 4:45 - Class methods 6:14 - Creating instances and using methods

Ep2 of the playlist. Livecode of customer.py file. Subscribe to 💎Datakademy to learn something new everyday! 📲 0:00 - Livecode

The Python venv module helps us create lightweight virtual environments. In this tutorial, we learn how to: Create a new environment Install /upgrade/ uninstall packages in the new environment How to save the package info (dependencies) into a requriements.txt file How to recreate the environment using the requirements.txt file Subscribe to 💎Datakademy to learn something new everyday! 📲

Welcome to the retail queue simulation playlist! This playlist will walk you through every step of creating your very first project. It will model x amount of cashiers and y amount of customers. x and y will be input given by the user. Subscribe to 💎Datakademy to learn something new everyday! 📲 0:00 - Introduction 0:47 - Visualization 2:21 - Separation of concerns

In this video, we go over what a virtual environment is, why we need it, some best practices, and what tools to use for managing virtual environments. Subscribe to 💎Datakademy to learn something new everyday! 📲

In this video, we look at how to manage packages using Conda. We go over how to show installed packages, how to install/ uninstall/ update a package using Conda or PIP. Subscribe to 💎Datakademy to learn something new everyday! 📲

In this video, we learn how to use functions. We also go over the return statement, parameters, and composite functions. Subscribe to 💎Datakademy to learn something new everyday! 📲 0:00 - What are functions? 0:18 - Function with no parameters 1:10 - Function with 1 parameter 2:13 - Function with 2 parameters 3:03 - Composite function and the return statement 4:58 - Whiteboard explanation of composite functions

In this video, we look at common environment management scenarios including exporting an environment to a yml file, removing an environment, recreating an environment from a yml file, and cloning an environment. Subscribe to 💎Datakademy to learn something new everyday! 📲

In this video, we learn how to use the logical operators and, or, not in Python. We also show 2 examples. Subscribe to 💎Datakademy to learn something new everyday! 📲 0:00 - What are logical operators? 0:26 - How they work 1:06 - Example 1 2:16 - Example 2 4:38 - Example 3

In this video, we learn how to use while loops in Python. We also talk about infinite loops, and go over an example of a sanity check. Subscribe to 💎Datakademy to learn something new everyday! 📲 0:00 - What are while loops? 0:35 - Basic while loop 3:59 - Infinite loop and break 5:47 - Sanity check example

In this video, we go through how to install Anaconda on Linux (Ubuntu). Subscribe to 💎Datakademy to learn something new everyday! 📲

In this tutorial, we look at the basics of using Anaconda, including how to check conda version, update conda, create virtual environments and how to activate and deactivate it. Subscribe to 💎Datakademy to learn something new everyday! 📲

In this video, we learn how to use for loops in Python. We also talk about the 2 general forms of for loops, and go through various examples. Subscribe to 💎Datakademy to learn something new everyday! 📲 0:00 - What are for loops? 0:24 - Looping over a sequence 4:02 - Looping over a range

In this tutorial, we go over the practice of spot-checking in machine learning, the concept of model stacking and voting and demostrate how to implement both in scikit-learn. Model stacking and voting can potentially help you improve your model's performance. Subscribe to 💎Datakademy to learn something new everyday! 📲

Imbalanced datasets are difficult to work with and hard to get good machine learning performance because of the unequal amount of information ML model can learn from all classes. In this video, we go through how to use the Imbalanced Learn library to resample the data and improve model performance. We'll also look at how to cross-validate in such a situation. Code: https://github.com/avenir-tech/ml_modeling/blob/master/imblearn.ipynb Subscribe to 💎Datakademy to learn something new everyday! 📲

In this video, we learn how to use the if, elif, and else statements for control flow in Python. We also talk about what happens if you use 2 if statements in a row, and some other comparison operators. Subscribe to 💎Datakademy to learn something new everyday! 📲 0:00 - General form of the if, elif, else block 1:58 - if, elif, else in action 3:22 - How many of each statement can we use? 3:42 - What if youy use 2 if statements in a row? 4:26 - Other comparison operators

In this video, we learn how to use f-strings in Python. We take a look at string formatting prior to Python 3.6, and the drawbacks of it. We also look at why f-strings are powerful and versatile. You can call functions, do mathematical operations, and more in f-strings! Subscribe to 💎Datakademy to learn something new everyday! 📲 0:00 - What do f-strings do? 0:12 - Why f-strings are better than .format() 0:59 - Comparison of .format() and f-strings 1:30 - How to use an f-string