Character Biosciences’ Post

I want to thank Randy Bean (the bestselling author of Fail Fast, Learn Faster) for taking the time to share his thoughts on Data Science and the Human Factor (https://lnkd.in/deYsGqpi)

One of the most crucial aspects of data science, in my opinion, is the moment during a project when you start asking questions that can help uncover the problem you've been tasked with solving, and how data simultaneously provides answers to those critical questions. Here's an example.

Day 221 of My Data Science Journey 🚀 Today, I delved into the fascinating world of Feature Selection. 🌟 - Why Feature Selection? 🤔 - Types of Feature Selection 🛠️ - Filter-Based Feature Selection 📊 - Variance Threshold Method 🎯 - Correlation 🔗 - ANOVA 📈 - Chi-Square 🎲 Each of these concepts helps in refining the model by selecting the most relevant features, making the model both efficient and accurate! 💪 Excited to put this into practice and see the impact on my models. Onward and upward! 🚀 #DataScience #MachineLearning #FeatureSelection #LearningJourney #DataScienceJourney

Don't miss out on the opportunity to master the fundamentals of data science with our Diving Into Data Science Foundation guide. Elevate your knowledge and boost your resume! 🚀 Learn more at https://wix.to/xNBD0fB #DataScienceFundamentals #KnowledgeBoost #ResumeEnhancement

My BLOG for aspiring Tabular Data Scientists out there! I hope this helps people become more focused on their learning path! In Shaa Allah.

In data science, your growth depends on your willingness to ask for help and share ideas.

Excited to introduce DataStalgia! As part of my journey into Computer Vision, I’ve decided to revisit the major areas of Data Science that I’ve already mastered—an exciting "nostalgia trip" to reinforce foundational concepts before exploring new horizons. Throughout this journey, I’ll cover key topics in data science, sharing insights and reflections along the way. Join me on this DataStalgia adventure! #DataScience #DataStalgia #LearningJourney #ComputerVision #Growth

🚀 Exciting Announcement: Data Science Interview Series! 🚀 I’m thrilled to kick off a series of posts designed to test your knowledge and enhance our understanding of data science concepts! Each week, I’ll pose a question that challenges our insights into this fascinating field. Let’s start with Question 1: Question 1: Explain the difference between supervised and unsupervised learning. 💬 Share your thoughts and answers in the comments below! I’m looking forward to seeing your responses and fostering some great discussions around these crucial concepts. Let’s learn together! #DataScience #MachineLearning #SupervisedLearning #UnsupervisedLearning #InterviewQuestions #KnowledgeSharing #LearningJourney

📣 Have you seen the latest "Data Science Pronto!" video? Explore the concept of entropy in data science, its calculation, and its importance in building decision trees for machine learning. 📺 Watch now: https://lnkd.in/g4WD-nHK