“Data!data!data!" he cried impatiently. "I can't make bricks without clay.” - SHERLOCK HOLMES on "Data Gathering"

<ul><li>3rd party API's</li><li>web scraping</li><li>Big Data Engineering</li></ul>

1. Data Gathering

<ul><li>handle NaN values</li><li>handle imbalance of datasets</li><li>remove noise from data</li><li>format the data in a proper way</li><li>clean the data</li><li>normalization</li><li>handle categorical features</li></ul>

2. Feature Engineering

<ul><li>"curse of dimensionality"</li><li>pearson correlation</li><li>heat map</li><li>extra tree classifier</li></ul>

3. Feature Selection

<ul><li>select the right model suitable for the data</li><li>train the model</li><li>hyper-parameter tuning </li><li>hyper-parameter optimization</li></ul>

4. Model Creation

<ul><li>test the accuracy part</li><li>accuracy and confusion matrix</li><li>if it works good accuracy on test sets, go to next step and </li><li>if not good, back to data gathering or feature engineering as needed</li></ul>

5. Model Testing

<ul><li>end point, rest API</li><li>aws</li><li>azure </li><li>gcp</li><li>monitor the model, how it works on real life uses, if changes are needed?</li></ul>

6. Production Deployment

Hello All, In this video you are going to understand the complete Life Cycle of a Data Science Project Support me on Patreon: https://www.patreon.com/join/2340909? amazon url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=as_sl_pc_tf_til?tag=krishnaik06-21&linkCode=w00&linkId=41bfad1a02096671f9a78ae1160f57ac&creativeASIN=1789346371 Buy the Best book of Machine Learning, Deep Learning with python sklearn and tensorflow from below amazon url: https://www.amazon.in/Hands-Machine-Learning-Scikit-Learn-Tensor/dp/9352135210/ref=as_sl_pc_qf_sp_asin_til?tag=krishnaik06-21&linkCode=w00&linkId=a706a13cecffd115aef76f33a760e197&creativeASIN=9352135210 Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06 Subscribe my unboxing Channel https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw Below are the various playlist created on ML,Data Science and Deep Learning. Please subscribe and support the channel. Happy Learning! Deep Learning Playlist: https://www.youtube.com/watch?v=DKSZHN7jftI&list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi Data Science Projects playlist: https://www.youtube.com/watch?v=5Txi0nHIe0o&list=PLZoTAELRMXVNUcr7osiU7CCm8hcaqSzGw NLP playlist: https://www.youtube.com/watch?v=6ZVf1jnEKGI&list=PLZoTAELRMXVMdJ5sqbCK2LiM0HhQVWNzm Statistics Playlist: https://www.youtube.com/watch?v=GGZfVeZs_v4&list=PLZoTAELRMXVMhVyr3Ri9IQ-t5QPBtxzJO Feature Engineering playlist: https://www.youtube.com/watch?v=NgoLMsaZ4HU&list=PLZoTAELRMXVPwYGE2PXD3x0bfKnR0cJjN Computer Vision playlist: https://www.youtube.com/watch?v=mT34_yu5pbg&list=PLZoTAELRMXVOIBRx0andphYJ7iakSg3Lk Data Science Interview Question playlist: https://www.youtube.com/watch?v=820Qr4BH0YM&list=PLZoTAELRMXVPkl7oRvzyNnyj1HS4wt2K- You can buy my book on Finance with Machine Learning and Deep Learning from the below url amazon url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=sr_1_1?keywords=krish+naik&qid=1560943725&s=gateway&sr=8-1 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 THINGS to support my channel LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL

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Hello All,
In this video you are going to understand the complete Life Cycle of a Data Science Project

Support me on Patreon: https://www.patreon.com/join/2340909?

amazon url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=as_sl_pc_tf_til?tag=krishnaik06-21&linkCode=w00&linkId=41bfad1a02096671f9a78ae1160f57ac&creativeASIN=1789346371

Buy the Best book of Machine Learning, Deep Learning with python sklearn and tensorflow from below
amazon url:
https://www.amazon.in/Hands-Machine-Learning-Scikit-Learn-Tensor/dp/9352135210/ref=as_sl_pc_qf_sp_asin_til?tag=krishnaik06-21&linkCode=w00&linkId=a706a13cecffd115aef76f33a760e197&creativeASIN=9352135210


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Below are the various playlist created on ML,Data Science and Deep Learning. Please subscribe and support the channel. Happy Learning!

Deep Learning Playlist: https://www.youtube.com/watch?v=DKSZHN7jftI&list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi
Data Science Projects playlist: https://www.youtube.com/watch?v=5Txi0nHIe0o&list=PLZoTAELRMXVNUcr7osiU7CCm8hcaqSzGw

NLP playlist: https://www.youtube.com/watch?v=6ZVf1jnEKGI&list=PLZoTAELRMXVMdJ5sqbCK2LiM0HhQVWNzm

Statistics Playlist: https://www.youtube.com/watch?v=GGZfVeZs_v4&list=PLZoTAELRMXVMhVyr3Ri9IQ-t5QPBtxzJO

Feature Engineering playlist: https://www.youtube.com/watch?v=NgoLMsaZ4HU&list=PLZoTAELRMXVPwYGE2PXD3x0bfKnR0cJjN

Computer Vision playlist: https://www.youtube.com/watch?v=mT34_yu5pbg&list=PLZoTAELRMXVOIBRx0andphYJ7iakSg3Lk

Data Science Interview Question playlist: https://www.youtube.com/watch?v=820Qr4BH0YM&list=PLZoTAELRMXVPkl7oRvzyNnyj1HS4wt2K-

You can buy my book on Finance with Machine Learning and Deep Learning from the below url

amazon url: https://www.amazon.in/Hands-Python-Finance-implementing-strategies/dp/1789346371/ref=sr_1_1?keywords=krish+naik&qid=1560943725&s=gateway&sr=8-1

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Complete Life Cycle of a Data Science Project

ARTHUR CONAN DOYLE

1. Data Gathering

2. Feature Engineering

3. Feature Selection

4. Model Creation

5. Model Testing

6. Production Deployment

Anirban Chatterjee 's ideas are part of this journey:

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