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Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Data Science skills that will help you excel professionally.

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The Success Story of Microsoft’s Senior Data Scientist

Analytics Vidhya

Introduction In today’s digital era, the power of data is undeniable, and those who possess the skills to harness its potential are leading the charge in shaping the future of technology.

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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create. By leveraging cross-validation, we ensured the model’s assessment wasn’t reliant on a singular data split.

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New Data Challenge: Aviation Weather Forecasting Using METAR Data

Ocean Protocol

This is a unique opportunity for data people to dive into real-world data and uncover insights that could shape the future of aviation safety, understanding, airline efficiency, and pilots driving planes. When implementing these models, you’ll typically start by preprocessing your time series data (e.g.,

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The Easiest Way to Determine Which Scikit-Learn Model Is Perfect for Your Data

Mlearning.ai

You may need to import more libraries for EDA, preprocessing, and so on depending on the dataset you’re dealing with. But you might need to do deep EDA and some data preprocessing in this step for feature selection and to ensure your data fits well into the models. STEP 1: Install the lazypredict library.

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Meet the winners of the Kelp Wanted challenge

DrivenData Labs

Summary of approach: In the end I managed to create two submissions, both employing an ensemble of models trained across all 10-fold cross-validation (CV) splits, achieving a private leaderboard (LB) score of 0.7318. I consider myself as a machine learning engineer who enjoys taking part in various machine learning competitions.

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Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit?—?Part 2 of 3

Mlearning.ai

Introduction Welcome Back, Let's continue with our Data Science journey to create the Stock Price Prediction web application. The scope of this article is quite big, we will exercise the core steps of data science, let's get started… Project Layout Here are the high-level steps for this project.

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