DEV Community: Samuel Ajibade

My Machine Learning Journey

Samuel Ajibade — Thu, 11 Jun 2020 21:08:49 +0000

I have been a python developer for about 2 years now I've dabbled from the basics to writing functions, working with frameworks like Django and flask also building APIs with the Django rest framework and I finally decided to go into machine learning/Data science yeah machine learning or data science people believe that the two fields are different they are not actually they are interwoven machine learning has some data science in it likewise data science has some machine learning in it just that data science deals with more data than machine learning models.

How did I begin the journey

Just like anyone else I did a lot of research, read tons of articles, watched a lot of videos I would suggest that start your journey by going through google's machine learning crash course then you can also check Udemy for some high rated machine learning courses Before I got into machine learning I thought it was a very complex field of computing it is actually hard but in the real sense like when you get into it you'll find out it's not that complex

Thanks for reading...

Setting up your computer for Data Science

Samuel Ajibade — Fri, 13 Mar 2020 01:28:32 +0000

Before you start this I'd recommend that you use Linux or the Macintosh operating system for data science as it a better option than using Microsoft Windows

Install Anaconda There's usually a controversy between using Anaconda or Pypi for data science based on experience and research I have found that Anaconda is a better option because virtual environments are built directly into it and its compatibility with R.
After downloading the file from the official website https://www.anaconda.com/distribution/
Navigate to the directory
Run the installation with "bash " and follow the on-screen prompts
Install common python packages for Data Science
For macOS or Linux anaconda's virtual environment is activated using the following command :
conda activate
and it is deactivated using the following command :
conda deactivate
Jupyter Notebook

Jupyter Notebook is a tool for doing interactive data science work in your browser. Jupyter notebook is activated in your bash terminal

Type the following command jupyter notebook . A browser window will open, showing the Juptyer environment. By default, you will be in a file browser view. In the file browser, find where you have a Jupyter notebook. If you don't have materials for a course or tutorial that you have downloaded, you can download this fun Jupyter notebook and then open it in the file browser. Click on one of the notebooks (*.ipynb) files to get started!
To stop Jupyter notebook:
Ctrl+c is used to stop the Jupyter notebook server running on your machine.

Starting activities with buttons using Kotlin

Samuel Ajibade — Thu, 16 Jan 2020 00:26:48 +0000

I just started android development and i had some issues which i would like to address for beginners so that they wouldn't have to go through too much stress to solve issues relating to android development with the Kotlin programming language.

First of all you have state the id for your button so let's assume the id for my button = btnLogin
You will call on "setOnClickListener" which listens to button clicks, then you will have to call on the name of the activity in order to start it.
"this" refers to the context of the application

btnLogin.setOnClickListener {
startActivity(Intent(this, LoginActivity:class.java))
}

Thanks for reading.