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A set of informational pages with diagrams and text discussing deep learning concepts, including topics such as model lifecycle, bias and variance, unstable gradients, and different training levels, with colorful headings and graphical illustrations.

Fundamentals of Deep Learning in 25 pages

With this small e-book, you get access to the meticulously curated information on the fundamentals of deep learning. Only what you need to know, shown in diagrams and visualizations. It includes topics of:

  • What is deep learning? How it relates to other disciplines?

  • Building blocks of Neural Networks

  • Activation functions

  • and much more!

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Image of a research cheat sheet titled 'Pandas cheat sheet' with sections on reading data, getting information from a dataframe, dealing with duplicates and missing values, and filtering rows, featuring code snippets and explanations.

Pandas Cheat Sheet

Pandas is the backbone of doing data science with Python.

This PDF includes functions that makes my life easier when I want to:

  • Change certain values of the dataframe

  • Filter the dataframe with a condition

  • Deal with duplicates

  • Deal with missing values

  • and more.

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Diagram explaining neural networks hyperparameters, including dataset size, batch size, neurons in input and output layers, hidden layers, learning algorithm, and cost function, with descriptive text on tuning these parameters.

Hyperparameters Cheat Sheet

Neural Networks have many settings that can be tweaked to achieve the optimal accuracy. Even though this flexibility is useful, it can get quite overwhelming to try and figure out what each knob and buttons does.

The Hyperparameters cheat sheet provides you with a summary of where each setting belongs in the greater scheme of things, which is the learning process of neural networks.

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Graphic design promoting hands-on data science workshop with two illustrated people using laptops and a dark teal background.

Hands-on Data Science: Complete your first project

This is my course Hands-on Data Science which was released back in 2020 to help aspiring data scientists learn how the end-to-end process of a data science project works.

You can watch it for free now on YouTube. All the resources and explanations are posted in the description of videos.

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Deep Learning 101 with Python and Keras

Deep Learning 101

In this course we will start from the ground and build a solid foundation for advanced deep learning practices.

This is a great course if you have a basic understanding of machine learning techniques and want to broaden your knowledge by learning about Neural Networks.

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A screenshot of an online data science training course featuring multiple slides and a woman waving hello during a video call. The course includes slides on data science pipeline, choosing a data profession, theoretical knowledge levels, positioning data science, and a course menu. The woman is smiling and appears on a computer screen, with a bright room and large window in the background.

Data Science Kick-Starter mini-course

A guide for aspiring data scientists during their first steps. Identify clear goals and stay focused when learning data science. There are three modules in the course:

1. Determining your goal

2. Determining your path

3. Understanding learning requirements

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