This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|  | |
| # Deep Learning Models | |
| A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks. | |
| ## Traditional Machine Learning | |
| - Perceptron [[TensorFlow 1](tensorflow1_ipynb/basic-ml/perceptron.ipynb)] [[PyTorch](pytorch_ipynb/basic-ml/perceptron.ipynb)] | |
| - Logistic Regression [[TensorFlow 1](tensorflow1_ipynb/basic-ml/logistic-regression.ipynb)] [[PyTorch](pytorch_ipynb/basic-ml/logistic-regression.ipynb)] |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| This GitHub repository contains the code examples of the **1st Edition** of Python Machine Learning book athttps://github.com/praveen1664/ | |
| If you are looking for the code examples of the **2nd Edition**, please refer to [this](https://github.com/praveen1664/solved-python-machine-learning-book-2nd-edition.git) repository instead. | |
| --- | |
| What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning ... from theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and | |
| we will put those concepts into action mainly using NumPy, scikit-learn, and Theano. | |
| You are not sure if this book is for you? Please checkout the excerpts from the [Foreword](./docs/foreword_ro.pdf) and [Preface](./docs/preface_sr.pdf), or take a look at the [FAQ](#faq) section f |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| A curated list of Easy machine learning frameworks, libraries and software (by language). | |
| If you want to contribute to this list (please do), send me a pull request or contact me [@praveen1664](https://www.justadvancetechnology.com/). | |
| Also, a listed repository should be deprecated if: | |
| * Repository's owner explicitly say that "this library is not maintained". | |
| * Not committed for long time (2~3 years). |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Spring Boot Praveen Class | |
| Understand and love the power of Spring Boot - All its features are illustrated developing a web application managing todos and a basic API for survey questionnaire. Also covers unit testing, mocking and integration testing. | |
| ## Overview | |
| * [Installing Eclipse, Maven and Java](#installing-tools) | |
| * [Running Examples](#running-examples) | |
| * [Course Overview](#course-overview) | |
| - [Course Steps](#step-list) | |
| - [Expectations](#expectations) | |
| * [About PraveenTeaching](#about-PraveenTeaching) |