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IWD is an event hosted by WTM Algiers , where we celebrate the International women's day in our own way, by hosting talks and workshops in different technologies.

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WTM ML WORKSHOP

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This repository will guid you through the workshop material and all the tools that you need to begin learning. It consists of Programming exercises that will enhance the theoretical knowledge that you acquired before. In this workshop we will learn about what is Deep Learning and how it's a different approach from machine learning, Learn about Numpy, Pandas , Matplotlib and other ML libraries.

Table of Content

  1. Python Basics
  2. Logistic-Regression-with-a-Neural-Network-mindset

Note that you can always open the notebooks on Google Colab ( No need to install anything ) you just need a stable internet connection :

- Python Basics Open In Colab

- Implementing Logistic regression with a NN mindset Open In Colab

Download and Install the tools needed

Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment.

Note that you need to have python installed ( v3.8 or + ) if you don't, go and install python first, then we can move forward.

If you have an oldest version, you can update it later using conda update python

1. Installation

Download the latest version of Anaconda that matches your system.

Windows Mac Linux
64-bit 64-bit (Graphical installer) 64-bit (Graphical installer) 64-bit (x86) Installer
32-bit 32-bit (Graphical installer)

Check Anaconda Documentation for more details

2. How to get started

  • Clone this repository , you can find diffrent ways to do that here.
  • Open Jupyter Notebook and navigate to your cloned repo.
  • All step up and done , open a notebook and start your training.

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IWD is an event hosted by WTM Algiers , where we celebrate the International women's day in our own way, by hosting talks and workshops in different technologies.

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