Getting started with Machine Learning (#GO-ML)

Introduction

Things we will be covering in the tutorial series:-

  1. chapter1:- Python basics, Pandas, Numpy overview
  2. chapter2:- Getting started with machine learning, its basics, types of learning
  3. chapter3:- Classification
  4. chapter4:- Regression
  5. chapter5:- Neural Networks
  6. chapter6:- CNNs
  7. chapter7:- RNNs

Application of Machine Learning

So before we get started let’s know the application of machine learning because i truly believe that application makes understanding stronger.

  1. Application in Recommender System:- One of the most common applications of machine learning is in the recommender system. Ever thought on how youtube gives you recommendation about some videos and you just can’t stop your nerves from watching those videos. This is because of a recommender system. They take an estimate of your watch history, your likes and dislikes in that particular field (e.g:- anime, food, traveling, tech etc) and give you a result of there recommendation.
  2. Application in Image Recognition:- ok so how do i recognize my friend. I see his face and immediately my brain gives a signal that is my friend. Machine learning algorithm does similar work. It extracts features from our face and learns it(training stage).

Get started with code

Python basics:-

  1. No header files required (initially)
  2. Python is one of the best examples of object-oriented programming
  3. Indentation has a very important role in python
Just type python on your terminal and hit enter
This is what u see after hitting enter
There we go !!!

Now let’s talk about the best Python IDE for machine learning

  1. VS code:- Visual Studio Code is a source-code editor developed by Microsoft for Windows, Linux and macOS. It includes support for debugging, embedded Git control, syntax highlighting, intelligent code completion, snippets, and code refactoring. Download it from- VS code
  2. Pycharm:-PyCharm is an integrated development environment used in computer programming, specifically for the Python language. It is developed by the Czech company JetBrains. Download it from- Pycharm
  3. Atom:-Atom is a free and open-source text and source code editor for macOS, Linux, and Microsoft Windows with support for plug-ins written in Node.js, and embedded Git Control, developed by GitHub. Atom is a desktop application built using web technologie. Download it from- Atom

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Abhishek Patnaik

Abhishek Patnaik

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I build product with passion. Follow me for product related blogs.