TensorFlow

Formal, Natural/Pure and Applied sciences

• My projects portfolio

• Developing a Web Dashboard for analyzing Amazon's Laptop sales data

• Try the App at http://dashboard.sinfronteras.ws

• Github repository: https://github.com/adeloaleman/AmazonLaptopsDashboard

• eComerce Web Application for an optical glasses retailer

• Visit the Web App at http://www.vglens.sinfronteras.ws

• This Application was developed using Python-Django Web framework

• Web App - Clone of Twitter

• Visit the Web App at http://62.171.143.243

• Github repository: https://github.com/adeloaleman/WebApp-CloneOfTwitter

• This Application was developed using:

• Back-end: Node.js (Express) (TypeScript)

• Front-end: React (TypeScript)

• Supervised Machine Learning for Fake News Detection

• Visit the Web App at http://fakenewsdetector.sinfronteras.ws

• Github repository https://github.com/adeloaleman/RFakeNewsDetector

• Social Media Sentiment Analysis using Twitter Data

• Java Desktop App - Zoo Management System

• In this project, we have created a GUI Java (Swing) Application for a Zoo Management System.

• You can try the application by downloading the Java Jar file from this link: http://wiki.sinfronteras.ws/images/2/27/ZooManagementSystem.jar

• Github repository: https://github.com/adeloaleman/JavaDesktopApp-ZooManagementSystem

• Java Desktop App - Stock Market Simulator

• In this project, we have created a GUI Java (Swing) Application that simulates a trading day of a simplified model of a stock market.

• You can try the application by downloading the Java Jar file from this link: http://wiki.sinfronteras.ws/images/0/00/SMSimulator.jar

• Github repository: https://github.com/adeloaleman/JavaDesktopApp-StockMarketSimulator

• Web App - Library Management System

• Automatic backup in the cloud using shell scripting

• Seismic Wave Propagation Modelling

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• Python

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• Django

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• Dash - Plotly

• Manim

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• HTML & CSS

• Java

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• Object-Oriented Concepts and Constructs

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• Class vs Object vs Instance

• Methods

• Variables

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• Connecting to a MySQL database using Java

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Data science All the Python for data science .ipynb Descriptive Data Analysis Second example of Kurtosis Data Science Programming StockMarketSimulator-Java1 code StockMarketSimulator-Python code Web development example1 code ---- ZooManagementSystem Class diagram ZooManagementSystem-Java1 code ZooManagementSystem-Python1 code Object-Oriented_Concepts_and_Constructs JavaScript & React Database BookDB implementation example (.ipynb) ---- LaboratoryDB design and implementation example Databases	Level2 Level3 Level4 Level5 Level5	Level2 Level3 Level4 Level5 Level5

TensorFlow is an open-source software library developed by Google for machine learning and artificial intelligence. It was first released in 2015 and has become one of the most popular machine learning frameworks in the world.

TensorFlow is designed to be flexible, scalable, and easy to use, allowing developers to build and train machine learning models across a wide range of applications. It supports a variety of programming languages, including Python, C++, and Java, and can be used for a range of machine learning tasks, including image and speech recognition, natural language processing, and predictive analytics.

One of the key features of TensorFlow is its ability to handle both deep learning and traditional machine learning models.

• https://www.tensorflow.org/learn
• https://github.com/tensorflow/tensorflow

Other learning materials apart from https://www.tensorflow.org/learn include:

• Coursera: DeepLearning.AI TensorFlow Developer Professional Certificate: (Recommended on https://www.tensorflow.org/certificate)

https://www.coursera.org/professional-certificates/tensorflow-in-practice

https://github.com/golamSaroar/tensorflow-in-practice-specialization

• Udacity: Intro to TensorFlow for Deep Learning: (Recommended on https://www.tensorflow.org/certificate)

https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187

• Udemy: TensorFlow Developer Certificate in 2023: Zero to Mastery

https://www.udemy.com/course/tensorflow-developer-certificate-machine-learning-zero-to-mastery/

TensorFlow certification:
https://www.tensorflow.org/certificate

Before you take the exam, please review our Candidate Handbook: https://www.tensorflow.org/static/extras/cert/TF_Certificate_Candidate_Handbook.pdf

Google provides a certification program for TensorFlow called the "TensorFlow Developer Certificate". This certification program is designed to test and validate your knowledge and skills in developing and deploying TensorFlow models for real-world applications.

The TensorFlow Developer Certificate exam is a computer-based exam that includes a combination of multiple-choice and coding questions.

To take the exam and earn the certification, you must pay a fee. As of my knowledge cut-off in September 2021, the fee for the exam was $100 USD.