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

• Computer Science and IT

• Programming and Software Development

• Some of the languages I have worked with:

• Python

• Python for Data Science

• Django

• FastAPI

• Dash - Plotly

• Manim

• JavaScript

• React

• Node.js - Express.js

• HTML & CSS

• Java

• Java GUI Programming

• SQL

• Shell Scripting

• R

• PHP

• C

• Multi-Paradigm Programming and Scripting

• Object-Oriented Concepts and Constructs

• SOLID Principles

• Class vs Object vs Instance

• Methods

• Variables

• Modifiers

• Four fundamental OOP concepts

• Encapsulation

• Inheritance

• Polymorphism

• Abstraction

• Nested classes

• Upcasting - Downcasting

• Errors and Exceptions

• Passing Object References

• Connecting to a MySQL database using Java

• Threads

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• Analysis of algorithms

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• Bubble and Insertion Sort

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• OpenAI - ChatGPT

• Descriptive Data Analysis

• Correlation & Simple and Multiple Regression

• Naive Bayes

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• Association Rules - Market Basket Analysis

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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. TensorFlow is primarily designed for deep learning, and usually referred to as a library for deep learning, but it can also be used for traditional machine learning tasks.

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.

• 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.

Udemy: TensorFlow Developer Certificate in 2023: Zero to Mastery

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

Private online classroom: https://discord.com/channels/423464391791476747/423466983208779776