kaggle-solutions
data-science-interviews
Our great sponsors
| kaggle-solutions | data-science-interviews | |
|---|---|---|
| 8 | 8 | |
| 3,753 | 8,139 | |
| - | - | |
| 6.4 | 0.0 | |
| 24 days ago | 3 months ago | |
| HTML | HTML | |
| MIT License | Creative Commons Attribution 4.0 |
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.
kaggle-solutions
data-science-interviews
- what type of questions do i expect on a data science interview mi amigos
-
Help regarding my skills
Trick to clearing interviewing is to prepare in advance. This might be relevant but hey I am no data science expert : https://github.com/alexeygrigorev/data-science-interviews
- 22 June 2022 - Daily Chat Thread
- leetcode equivalent for DS?
-
Weekly Entering & Transitioning Thread | 26 Sep 2021 - 03 Oct 2021
Data Science Interview Questions
-
interview questions answers on ML
check this out
-
1-2 Websites for data science interviews prep
Awesome this is beautiful. Exactly what I was looking for... Btw I found these things from my friends from uni just now... Hope this helps you too 1. GitHub pages : ex: https://github.com/alexeygrigorev/data-science-interviews 2. Codility 3. Applied AI Hope I helped you too :)
-
Revature while married? General software vs game development?
[3] https://github.com/alexeygrigorev/data-science-interviews
What are some alternatives?
datascience - Curated list of Python resources for data science.
machine-learning-interview - Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
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.
mega-interview-guide - The MEGA interview guide, JavaSciript, Front End, Comp Sci
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.
datasciencecoursera - Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
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.
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
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.
javascript-guide - Open source project aimed at helping junior Frontend Developers ace their interview questions.
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.
front-end-interview-handbook - ⚡️ Front End interview preparation materials for busy engineers