Here's how I got started with my first machine learning project and you can too.
Let's take a look.
(This thread will take from zero to being a hero in machine learning, trust me)
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Getting started with your first machine learning project might actually much easier than it seems, if I can do it, certainly anyone can.
I did not use:
- Any Math
- An expensive computer
- Complex programming concepts
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Here's what I did use:
- A free GPU on Google Colab
- Python
- TensorFlow
- Numpy
- Pandas
- Kaggle
- Scikit-Learn
- Google
- StackOverFlow
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This project was actually a Kaggle challenge based on the MNIST dataset which is a collection images of 70,000 hand written digits.
You can find the dataset hereЁЯСЗ
ЁЯФЧ//kaggle.com/c/digit-recognizer
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Before we go over the code of this project, it is highly reccomended that you complete this free course on YouTubeЁЯСЗ
Machine Learning foundations course
ЁЯФЧ//youtu.be/_Z9TRANg4c0
CodeЁЯСЗ
ЁЯФЧ//colab.research.google.com/github/PrasoonPratham/Kaggle/blob/main/MNIST.ipynb
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