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Kaggle
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About Kaggle
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Overall Rating | - based on 0 reviews | 4.3/5 based on 37 reviews | 3.7/5 based on 1.8k reviews | 3.9/5 based on 49 reviews |
Highly Rated for | - | Salary Work-life balance Company culture | No highly rated category | No highly rated category |
Critically Rated for | - | No critically rated category | No critically rated category | No critically rated category |
Primary Work Policy | - | - | Work from office 64% employees reported | - |
Rating by Women Employees | - no rating available | 5.0 Excellent rated by 4 women | 3.3 Average rated by 445 women | 4.2 Good rated by 13 women |
Rating by Men Employees | - no rating available | 4.2 Good rated by 27 men | 3.7 Good rated by 1.1k men | 3.7 Good rated by 30 men |
Job security | - Data not available | 3.6 Good | 3.4 Average | 3.5 Good |
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Kaggle Salaries
Data Scientist
(2 salaries)
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₹2.9 L/yr - ₹3.7 L/yr
Data Engineer
(1 salaries)
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₹13.5 L/yr - ₹17.2 L/yr
Freelancer
(1 salaries)
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₹15.3 L/yr - ₹19.5 L/yr
Data Analyst Intern
(1 salaries)
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₹5.4 L/yr - ₹6.9 L/yr
Machine Learning Engineer
(1 salaries)
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₹8.3 L/yr - ₹10.6 L/yr
Jr. Data Scientist
(1 salaries)
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₹2.7 L/yr - ₹3.5 L/yr
Practitioner
(1 salaries)
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₹3.2 L/yr - ₹4.1 L/yr
Data Science Intern
(1 salaries)
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₹5.4 L/yr - ₹6.9 L/yr
Machine Learning Specialist
(1 salaries)
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₹6.8 L/yr - ₹8.6 L/yr
Kaggle News
Getting started with NLP using Bert on Kaggle
- The news article is about getting started with NLP using BERT on Kaggle.
- The article covers various steps such as import and EDA, tokenization, test and validation sets, metrics and correlation, training the model, and getting predictions on the test set.
- The code imports necessary libraries and datasets from Kaggle, performs tokenization using BERT, splits the dataset into test and validation sets, defines metrics and correlation functions, trains the model, and finally generates predictions on the test set.
- The predictions are then saved in a CSV file named 'submission.csv'.
Dev | 29 Jan, 2025
![Getting started with NLP using Bert on Kaggle](https://media2.dev.to/dynamic/image/width=1000,height=500,fit=cover,gravity=auto,format=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fje7d7q6cg1nyon6i8t7b.png)
[D] Any good resources for pre-trained model weights?
- Obtaining pre-trained weights for specific architectures can be challenging, even for popular ones like ResNet.
- Pre-trained models for architectures like ResNet trained on JFT-300M or Youtube100M do not release their weights.
- Existing resources like HuggingFace, Kaggle, and PyTorch offer pre-trained models, but they are typically trained on a single dataset and may not be suitable for comparison purposes.
- Finding the right place to obtain pre-trained weights for specific architectures can be challenging.
Reddit | 26 Jan, 2025
![[D] Any good resources for pre-trained model weights?](https://rdwgroup.com/wp-content/uploads/2018/10/reddit2-800x450-1.png)
AI Bootcamp Rollercoaster: My 5-Day Whirlwind with Google and Kaggle’s Gen AI Course
- The author shares their experience in Google and Kaggle's 5-day Generative AI Intensive course.
- The first day involved reading hefty whitepapers, interactive labs, a podcast, and a livestream.
- The author found the whitepapers overwhelming and turned to the podcast for guidance.
- Despite being able to pause and rewind, note-taking became challenging due to the amount of information.
Medium | 29 Nov, 2024
![AI Bootcamp Rollercoaster: My 5-Day Whirlwind with Google and Kaggle’s Gen AI Course](https://miro.medium.com/v2/resize:fit:1024/1*jbtILcDkVaDTk55wBslXZA.png)
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