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theSage21 authored Jul 18, 2020
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1 change: 1 addition & 0 deletions soa/tracks/ml/1.md
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<a href='https://t.me/ml_code_for_100_days'><button>Discuss on telegram</button></a>
## ML Track
Welcome to the ML track. We hope you're really excited for this.
For starters we'll brush up your Python Skills. This includes your understanding of
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<a href='https://t.me/ml_code_for_100_days'><button>Discuss on telegram</button></a>
## ML Track - Week 2
We hope you're really excited to get started with actual Machine Learning. But just hold on!!
A big problem in machine learning algorithms is that, they're not humans. They are just bunch of formulas being applied in a loop of conditional statements.
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1 change: 1 addition & 0 deletions soa/tracks/ml/3.md
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<a href='https://t.me/ml_code_for_100_days'><button>Discuss on telegram</button></a>
## ML Track - Week 3
Congratulations for making upto here!
As now we've completed the preprocessing methods, we can start with Machine Learing Algorithms.
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1 change: 1 addition & 0 deletions soa/tracks/ml/4.md
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## ML Track - Week 4
This week we are going to learn a type of widely used supervised machine learning algorithm - **Classification**.

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<a href='https://t.me/ml_code_for_100_days'><button>Discuss on telegram</button></a>
## ML Track - Week 5
Congratulations, You have come mid-way!
Now, let's learn how good or bad our model is performing and why?
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1 change: 1 addition & 0 deletions soa/tracks/ml/6.md
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## ML Track - Week 6
Congratulations,
You have come a long way! Till now we have been working on supervised machine learning , so now gear up for the first chapter of unsupervised machine learning - Clustering .
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1 change: 1 addition & 0 deletions soa/tracks/ml/7.md
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## ML Track-Week 7

Congratulations for making it upto here !
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