Atlas of Living Australia’s Post

Unlock the secrets of effective data collection with our comprehensive guide! Dive deep into primary & secondary methods and elevate your research game. #DataCollectionStrategies #DataGathering #DataCollectionTools #ResearchAnalysis #DataCollectionTechniques #ResearchMethods101 #DataCollectionProcess #DataAnalysisSkills #MarketResearchMethods #DataDrivenDecisions #AnalyticsInsights #DataResearch #ResearchData #DataCollectionTips #DigitalMarketingResearch #Drighna #Drighnatech #Teamdrighna

With the rise of Big Data, species classification faces new challenges. TNLS, one of #TETTRIsEU cascade-funding projects, is developing a unified system to accurately match species names across big datasets 📊 Curious about that? Read our latest deep dive https://shorturl.at/JDVJq #taxonomy

“Birds, Data & Nature: Regression vs. Classification in 60 Seconds” Discover the basics of regression and classification through a captivating natural setting filled with diverse bird species! In this 60-second video, I break down these two fundamental concepts in data science, showing how they can be applied to understand patterns in nature. Learn how regression helps predict values, while classification groups species based on distinct traits-all while enjoying the beauty of the wild. I reckon, this is perfect for nature lovers and data science enthusiasts alike! Please take a listen. Follow Manjunatha Gummaraju! #datascience #regression #classification #predictivemodels #datasciencegalaxy #realworldlearning

Data to the rescue! Presented research on how data analysis helped Dr. Patel decode the communication patterns of endangered howler monkeys. This is why I love the power of data - it can even save languages! #DataForGood #ConservationHero #AnimalLanguage #ScienceIsCool

When working with data visualizations you sometimes end up with something that looks more like abstract art, and not the expected view of how much it is going to rain later 😅 (Danmarks Meteorologiske Institut just released a new forecast model, and it looks like the order of the data was updated between the preview and release phases). #friedata #opendata

Hello connections.......🚀🚀! I had done the data science project of IRIS Flower classification This project involved developing a model to classify iris flowers into three distinct species based on their measurements.The features are Sepal Length,Sepal Width,Petal length and Petal width.Here i can take 0.2 and measures the LogisticRegression model and predict the traing and testing the data and finding accuracy of the IRIS flower classification and accuracy oof this model is goood !! #datascience #machinelearning #irisclassification #dataScienceprojects DataScience Middle East

Day 2 working on a crop-yield prediction model! One of the invaluable tools that made this possible is Kaggle, a fantastic resource for datasets used for learning and research purposes. If you're interested in exploring more, I highly recommend checking out their website. For a deeper understanding, take a look at the yield dataset I used: Yield Dataset on Kaggle. (https://lnkd.in/dPPQ2qgi) #DataScience #MachineLearning #Agriculture #Kaggle #CropYieldPrediction

There is no one way to enter the #datascience industry. I myself came by way of #statistics, but I’ve interviewed journalists, marine biologists, musicians, and more for #DataFemme whose past expertise only enhances a current career in #data. The latest episode of #DataFemme, featuring Reza du Plooy of Datalab Solutions, approaches the world of data science from a consultant’s point of view. This unique lens will inspire anyone who acknowledges data’s role within their work… https://lnkd.in/gAFVsh7i

🌸 Project Spotlight: Iris Flower Classification 🌸 I’m excited to share my latest project focusing on classifying Iris flowers into three distinct species—Setosa, Versicolor, and Virginica—using logistic regression. This iconic dataset was a perfect fit for applying and evaluating this essential classification algorithm. 📊✨ Here’s a brief overview of the project: 🔹 Dataset: Analyzed 150 samples with sepal and petal measurements. 🔹 Methodology: Loaded and prepared data, split it into training and testing sets, standardized features, and trained a logistic regression model. 🔹 Evaluation: Achieved high accuracy with comprehensive metrics including precision, recall, and F1-scores. 📈✅ 🔍 Visualizations: - Pair Plot: Visualized feature relationships and species separation for clearer insights. - Correlation Matrix: Highlighted linear relationships between features to enhance understanding. The results are impressive! The logistic regression model effectively classifies Iris species with high accuracy, and the visualizations offer valuable insights into feature dynamics. Explore the full project to see how this approach can drive effective classification and data analysis! 🌟 #IrisClassification #LogisticRegression #DataScience #MachineLearning #Analytics #DataVisualization #Codsoft #InnovationWithCodsoft

Geeks vs Dinosaurs: Evaluating Data Management Platforms: How do you engage with audiences? That's a question to ask in evaluating the relevance of existing data management platforms (DMPs) in the context of modern data management needs. Pose critical questions to yourself about the capabilities of traditional DMP solutions and consider the shortcomings that lead data managers to explore alternatives like #CMDM solutions, consider the need for specialized point solutions. #DataManagementPlatforms #DMP #SpecializedSolutions #CMDM https://buff.ly/3Su5eGd