Learn2Develop is a technology company specializing in hands-on training on the latest Web and Mobile technologies.
Email: weimenglee@learn2develop.net
Tuesday, June 02, 2020
Performing Data Analytics on the Covid-19 Dataset using Python, NumPy and Pandas
I have published an article on using Python to perform data analytics on the Covid-19 dataset. You can read it here.
Thursday, May 28, 2020
WEB302 - Getting Started with Docker
Most people are familiar with Virtual Machines (VM). A VM is a program that runs like a separate computer within a computer. A physical computer can run multiple VMs, allowing it the ability to emulate different operating systems all running at the same time. VMs allow developers to run their apps in a totally isolated environment, ensuring that their apps would be able to run without problems regardless of the configurations of the host computer.
A Docker container works very much like a VM. However, a Docker container does not require a full instance of the OS (which is needed by a VM). And unlike a VM, a Docker container shares the host system’s kernel with other containers, and it offers OS-level virtualization.
In this one-day course, you will experience Docker hands-on. You will learn how to create Docker containers from Docker Images hosted on the Docker Hub. You will also learn how to create your own Docker Image for your own development purposes.
For schedule, check out http://calendar.learn2develop.net/
Tuesday, May 26, 2020
IOT202 - Introduction to Data Analytics using Python
Get a head start in data analytics using NumPy, Pandas, and Matplotlib. In the course IOT202 - Introduction to Data Analytics using Python, you will learn how to analyse and visualise your datasets using the Python programming language.
Case Study - Learn how to visualise the Covid-19 dataset.
Case Study - Learn how to visualise the Covid-19 dataset.
Wednesday, May 13, 2020
MOB107 - Cross Platform Mobile Apps Development using Flutter
Flutter lets you build cross-platform mobile apps using the Dart programming language, without the need to use languages like Objective-C, Swift, Kotlin, or Java. Flutter allows you to maintain a single code base for your mobile app that runs both on Android and iOS devices
For schedule, check out http://calendar.learn2develop.net/
- Crash course on the Flutter programming language
- Structure of a Flutter application
- Laying out your UI
- Networking in Flutter
- Persisting Data
- Deploying iOS and Android applications
For schedule, check out http://calendar.learn2develop.net/
IOT305 - Deep Learning using TensorFlow and Keras
Deep Learning is a branch of machine learning that utilizes neural networks. But how does a neural network work, and how does deep learning solve machine learning problems? In this workshop, you will learn how to get started with deep learning using one of the most popular frameworks for implementing deep learning – TensorFlow and Keras, to make deep learning more user-friendly and easier.
For schedule, check out http://calendar.learn2develop.net/
- Understand what is deep learning
- Understand the various concepts in deep learning - weights, biases, activation functions, loss functions, back propagation gradient descent, etc
- Common types of neural networks
- Using Keras with TensorFlow
- Image Recognition
- Transfer Learning
For schedule, check out http://calendar.learn2develop.net/
IOT203 - Introduction to Machine Learning using MS Azure ML Studio
In this 1-day workshop, you will be introduced to Machine Learning using the Microsoft Azure Machine Learning Studio. You will learn what is machine learning, and how it can be useful to your organization. You will also learn the various machine learning algorithms and work through some real-life examples. Understand what is deep learning
- Understand what is machine learning
- Types of machine learning
- Using Microsoft Azure Machine Learning Studio
- Understanding machine learning metrics
- Deploying ML models as web services
Friday, May 08, 2020
Go Cheat Sheet
Learning Go? Here is a Go (aka Golang) Cheat Sheet that is designed to make it easier for you to remember the various syntax of this exciting language. Click here to download the PDF copy of this cheat sheet.
Have fun! If you want to learn Go, consider joining my upcoming class on Applied Go Programming.
Have fun! If you want to learn Go, consider joining my upcoming class on Applied Go Programming.
New Course - IOT210 - Applied Go Programming
Go (aka Golang) is one of the fastest growing programming languages. It is an open-source language released by Google in 2009. Go is a multi-purpose programming language specifically designed to build faster and scalable applications. In this course, you will:
• Learn the core features of the Go programming language
• Understand how concurrency works in Go
• Learn how to create real-world applications using Go
• Understand how concurrency works in Go
• Learn how to create real-world applications using Go
For schedule, check out http://calendar.learn2develop.net/
New Course - IOT306 - Developing Chatbots using Google's Dialogflow.
Chatbots are voice-aware bots, designed to simulate human conversations with users. In this one-day course, you will learn how to build your own chatbot applications using Google's Dialogflow, an interface for building chatbot applications:
* walk through all the steps required to build an intelligent chatbot
* learn how to integrate with external services to fulfil the user's request
* deploy your chatbot onto popular third party applications such as Twitter, Slack, and Facebook's Messenger
* learn how to integrate with external services to fulfil the user's request
* deploy your chatbot onto popular third party applications such as Twitter, Slack, and Facebook's Messenger
Thursday, February 06, 2020
Pandas DataFrame Cheat Sheet
If you are into Python data science, you would not doubt be familiar with Pandas's DataFrame. This super powerful and flexible library can sometimes be a little overwhelming. Hence, I have attempted to create a cheatsheet summarising some of the common things you usually do with the DataFrame. You can download it here: http://bit.ly/39bdqRD.
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