data-science-interviews VS kaggle-solutions

Compare data-science-interviews vs kaggle-solutions and see what are their differences.

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data-science-interviews kaggle-solutions
8 8
8,144 3,767
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0.0 6.4
4 months ago about 15 hours ago
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Creative Commons Attribution 4.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

data-science-interviews

Posts with mentions or reviews of data-science-interviews. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-26.

kaggle-solutions

Posts with mentions or reviews of kaggle-solutions. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing data-science-interviews and kaggle-solutions you can also consider the following projects:

machine-learning-interview - Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

datascience - Curated list of Python resources for data science.

mega-interview-guide - The MEGA interview guide, JavaSciript, Front End, Comp Sci

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencecoursera - Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

jube - Jube is an open-source software designed for monitoring transactions and events. It offers a range of powerful features including real-time data wrangling, artificial intelligence, decision making, and case management. Jube's exceptional performance is particularly evident in its application to fraud prevention and abuse detection scenarios.

Back-End-Developer-Interview-Questions - A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore

catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

javascript-guide - Open source project aimed at helping junior Frontend Developers ace their interview questions.

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

front-end-interview-handbook - ⚡️ Front End interview preparation materials for busy engineers

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.