Greetings guys,
Recently we saw that what is machine learning & why we need it this days. Well we would like to know now that how to start coding & using ML for learning & business purposes.
Here in this post we will learn basic requirements for learning ML. For starters we will require Python & Mathematics. But here we will focus on Python because not everyone wants to learn math in beginning. Tho one needs to have math background for better understanding. Yet i will have some lectures where in we will cover math but one can skip them if they don't want to do it. I would highly recommend that they see math irrespective of time.
This is my GitHub link :- Basics of Python This file contains basics necessary to get used to with Python. If you want to test or practice code then download file & use Jupyter Notebook to run it.
We will be using 2 different IDEs.
To download & run Jupyter notebook click on Jupyter Installation to install it. I would suggest that you install Anaconda but if you don't want to install 600mb of anaconda version then go for native python. It is highly Recommended that one go with Anaconda because it does contain many IDEs & package installation damn easy compared to native python.
Why anaconda?? Because it is one of the fastest & most popular Python & R distribution. It does make our work easy then any other distribution. I personally use it also would recommend it to use. If you download anaconda then don't install native Python or Jupyter notebooks. Both will be given in anaconda.
Click here for anaconda installation, also click here for tips on anaconda & setting environment for Python. Click here for download guide of python 3.6 & for direct link for python 3.6 setup click here
I have few tips to share if you install Jupyter notebook via python Python Installation tips. This Post will cover only installation requirements. From next we will start from basic Python & Python for data science.
Thank you for reading. Please mention your opinions.
Recently we saw that what is machine learning & why we need it this days. Well we would like to know now that how to start coding & using ML for learning & business purposes.
Here in this post we will learn basic requirements for learning ML. For starters we will require Python & Mathematics. But here we will focus on Python because not everyone wants to learn math in beginning. Tho one needs to have math background for better understanding. Yet i will have some lectures where in we will cover math but one can skip them if they don't want to do it. I would highly recommend that they see math irrespective of time.
This is my GitHub link :- Basics of Python This file contains basics necessary to get used to with Python. If you want to test or practice code then download file & use Jupyter Notebook to run it.
We will be using 2 different IDEs.
- Jupyter Notebooks
- Spyder
To download & run Jupyter notebook click on Jupyter Installation to install it. I would suggest that you install Anaconda but if you don't want to install 600mb of anaconda version then go for native python. It is highly Recommended that one go with Anaconda because it does contain many IDEs & package installation damn easy compared to native python.
Why anaconda?? Because it is one of the fastest & most popular Python & R distribution. It does make our work easy then any other distribution. I personally use it also would recommend it to use. If you download anaconda then don't install native Python or Jupyter notebooks. Both will be given in anaconda.
Click here for anaconda installation, also click here for tips on anaconda & setting environment for Python. Click here for download guide of python 3.6 & for direct link for python 3.6 setup click here
I have few tips to share if you install Jupyter notebook via python Python Installation tips. This Post will cover only installation requirements. From next we will start from basic Python & Python for data science.
Thank you for reading. Please mention your opinions.
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