HDFS (Hadoop Distributed File System) is the primary storage system used by Hadoop applications. This open source framework works by rapidly transferring data between nodes. It's often used by companies who need to handle and store big data.
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Understanding Bias and Variance in Machine Learning
Bias refers to the error in the model when the model is not able to capture the pattern in the data and what results is an underfit model (High Bias).
Variance refers to the error in the model, when the model is too much tailored to the training data and fails to generalise for unseen data which refers to an overfit model (High Variance)
There should be a tradeoff between bias and variance. An optimal model should have Low Bias and Low Variance so as to avoid underfitting and overfitting.
Techniques like cross validation can be helpful in these cases.
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Bias refers to the error in the model when the model is not able to capture the pattern in the data and what results is an underfit model (High Bias).
Variance refers to the error in the model, when the model is too much tailored to the training data and fails to generalise for unseen data which refers to an overfit model (High Variance)
There should be a tradeoff between bias and variance. An optimal model should have Low Bias and Low Variance so as to avoid underfitting and overfitting.
Techniques like cross validation can be helpful in these cases.
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*This channel belongs to @bigdataspecialist group
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AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
Creator: Alex Lekov
Stars ⭐️: 191
Forked By: 41
https://github.com/Alex-Lekov/AutoML_Alex
#ml #machinelarning #datascience
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*This channel belongs to @bigdataspecialist group
State-of-the art Automated Machine Learning python library for Tabular Data
Creator: Alex Lekov
Stars ⭐️: 191
Forked By: 41
https://github.com/Alex-Lekov/AutoML_Alex
#ml #machinelarning #datascience
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*This channel belongs to @bigdataspecialist group
GitHub
GitHub - Alex-Lekov/AutoML_Alex: State-of-the art Automated Machine Learning python library for Tabular Data
State-of-the art Automated Machine Learning python library for Tabular Data - Alex-Lekov/AutoML_Alex
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Vital Cheatsheets (1).pdf
1003.7 KB
Vital Cheat sheets for Data Scientists and Machine Learning Engineers
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🏆 Top results in the quiz 'Data Science Quiz'
One new name among winners
Core X emerged as this round champion 🍾
🤓 251 people took the quiz
🥇 Core X – 8 (15 sec)
🥈 Jagan Reddy – 8 (19.4 sec)
🥉 @DarkAngeI7887 – 8 (30 sec)
4. @mutaician0 – 8 (38.3 sec)
5. @Olamilekan_ayinde – 8 (41.6 sec)
6. @Eraullux – 8 (45.3 sec)
7. @Kdrakex – 8 (46.1 sec)
8. X M – 8 (49 sec)
9. Neha K – 8 (51.5 sec)
10. @santhu15 – 8 (53.9 sec)
11. @mk_12077 – 8 (56 sec)
12. @CosmicDust1 – 8 (1 min 1 sec)
13. mr unknown – 8 (1 min 6 sec)
14. Helario H – 8 (1 min 14 sec)
15. @FutureMillionaire03 – 8 (1 min 14 sec)
16. @Adilkhatik – 8 (1 min 30 sec)
17. @ycx1205 – 8 (1 min 30 sec)
18. @puneetc30 – 8 (1 min 33 sec)
19. Python Programmer – 8 (2 min 5 sec)
20. @EvertonCSantana – 8 (2 min 13 sec)
Next (and last) round:
C/C++/OOP Quiz
End date: March 3nd (Sunday)
One new name among winners
Core X emerged as this round champion 🍾
🤓 251 people took the quiz
🥇 Core X – 8 (15 sec)
🥈 Jagan Reddy – 8 (19.4 sec)
🥉 @DarkAngeI7887 – 8 (30 sec)
4. @mutaician0 – 8 (38.3 sec)
5. @Olamilekan_ayinde – 8 (41.6 sec)
6. @Eraullux – 8 (45.3 sec)
7. @Kdrakex – 8 (46.1 sec)
8. X M – 8 (49 sec)
9. Neha K – 8 (51.5 sec)
10. @santhu15 – 8 (53.9 sec)
11. @mk_12077 – 8 (56 sec)
12. @CosmicDust1 – 8 (1 min 1 sec)
13. mr unknown – 8 (1 min 6 sec)
14. Helario H – 8 (1 min 14 sec)
15. @FutureMillionaire03 – 8 (1 min 14 sec)
16. @Adilkhatik – 8 (1 min 30 sec)
17. @ycx1205 – 8 (1 min 30 sec)
18. @puneetc30 – 8 (1 min 33 sec)
19. Python Programmer – 8 (2 min 5 sec)
20. @EvertonCSantana – 8 (2 min 13 sec)
Next (and last) round:
C/C++/OOP Quiz
End date: March 3nd (Sunday)
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Explore Population Pyramids with Python and Web Applications
Let's Understand Past, Present and Future Population Growth Using Python and Port our Findings to the Web for the World!
Rating ⭐️: 4.6 out 5
Students 👨🎓 : 9652
Duration ⏰ : 1hr 4min on-demand video
Created by 👨🏫: Manuel Amunategui
🔗 Course Link
#Data_Science #python
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👉Join @bigdataspecialist for more👈
Let's Understand Past, Present and Future Population Growth Using Python and Port our Findings to the Web for the World!
Rating ⭐️: 4.6 out 5
Students 👨🎓 : 9652
Duration ⏰ : 1hr 4min on-demand video
Created by 👨🏫: Manuel Amunategui
🔗 Course Link
#Data_Science #python
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👉Join @bigdataspecialist for more👈
Udemy
Free Data Science Tutorial - Explore Population Pyramids with Python and Web Applications
Let's Understand Past, Present and Future Population Growth Using Python and Port our Findings to the Web for the World! - Free Course
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