“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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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

CURATED BY

CURATOR'S NOTE

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