data-science-interviews VS datasciencecoursera

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

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions. (by mGalarnyk)
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data-science-interviews datasciencecoursera
8 44
8,139 2,196
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0.0 0.0
3 months ago about 1 year ago
HTML HTML
Creative Commons Attribution 4.0 -
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.

datasciencecoursera

Posts with mentions or reviews of datasciencecoursera. 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 datasciencecoursera 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.

random-dose-of-knowledge - Using the latest Software Engineering practices to create a modern and simple app.

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

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

Data-science-best-resources - Carefully curated resource links for data science in one place

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

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

kaggle-solutions - 🏅 Collection of Kaggle Solutions and Ideas 🏅

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

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

lme4cens - Simple Mixed Effect Models and Censoring