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

• Serialization

• Object Orientation with Design Patterns

• Creational Patterns

• Singleton Pattern

• Factory Pattern

• Abstract Factory Pattern

• Builder Pattern

• Prototype Pattern

• Structural Patterns

• Adapter Pattern

• Facade Pattern

• Proxy pattern

• Decorator Pattern

• Behavioural Patterns

• Chain of Responsibility Pattern

• Command Pattern

• Iterator Pattern

• Observer Pattern

• Mediator Pattern

• Data Access Patterns

• Data Access Object Pattern

• Model-View-Controller MVC

• Data Structures & Algorithms

• Analysis of algorithms

• The Stack Data Structure

• The Queue Data Structure

• The Array Data Structure

• The List Data Structure

• The Linked List Data Structure

• The Tree Data Structure

• Recursion vs Iteration

• Bubble and Insertion Sort

• Web Development

• HTML

• CSS

• Django

• FastAPI

• JavaScript

• React

• React_2

• Node.js - Express.js

• Dash - Plotly

• PHP

• Ruby on Rails

• Web server

• Web mapping

• HTML presentation with Reveal.js

• Excelentes diseños de WebSites

• Mobile Development

• Native vs Hybrid Frameworks

• Cordova - PhoneGap

• Ionic and Capacitor

• Systems Analysis & Design

• Universal design

• GitHub

• Data Science

• OpenAI - ChatGPT

• Descriptive Data Analysis

• Correlation & Simple and Multiple Regression

• Naive Bayes

• Decision Trees

• K-Nearest Neighbour

• Boosting

• Perceptrons - Neural Networks and Support Vector Machines

• Association Rules - Market Basket Analysis

• Clustering

• Time Series Analysis

• Model Evaluation

• Text Analytics

• Information Retrieval

• Natural Language Processing

• Python for Data Science

• NumPy and Pandas

• Data Visualization with Python

• Pandas Built-in Data Visualization

• Matplotlib

• Seaborn

• Plotly and Cufflinks

• Word cloud

• Text Analytics in Python

• Dash - Plotly

• RapidMiner

• Power BI

• Jupyter

• Big Data Integration

• ML Songwriting

• Other qualifications in IT

• Databases

• Database design

• Conceptual design

• Entity relationship modelling

• The Enhanced Entity-Relation Model

• Logical design

• Relational Model

• Normalisation

• RDBMS

• MySQL

• Backup and Restore MySQL/MariaDB Databases

• Import a CSV file into a MySQL database

• Reset the MySQL/MariaDB Password

• Authentication and Authorization

• SQL Practice Labs

• Stored Procedures

• Stored Functions

• Triggers

• Events

• Cursors

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• Exception Handling

• PostgreSQL

• GUI DB administration tools

• MySQL Workbench

• SQLectron

• Cloud Computing

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• Network Simulation using PacketTracer

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• https://www.youtube.com/watch?v=M22MEShcyx8

• https://www.youtube.com/watch?v=tfSMcDqnh00&t=2061s

• https://www.youtube.com/watch?v=NrjFE_Rd2OQ&t=81s

• https://www.youtube.com/watch?v=e5_V78SWGF0

• Mathematics

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• Download video from youtube https://en1.savefrom.net/2ol/

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Working on - Mis_páginas	Another	Another
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

This is a protected page.

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

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.

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

• DeepLearning.AI TensorFlow Developer Professional Certificate:

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

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

• TensorFlow Developer Certificate in 2023: Zero to Mastery

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