Smithsonian National Museum of Natural History’s Post

I'm thrilled to share that I've successfully completed Task 1 of the Oasis Infobyte internship program: Iris Flower Classification using Machine Learning! 🚀 The dataset contains information about flowers with the following attributes: 1) Id: Unique identifier for each entry. 2) Sepal Length (cm): Length of the sepal in centimeters. 3) Sepal Width (cm): Width of the sepal in centimeters. 4) Petal Length (cm): Length of the petal in centimeters. 5) Petal Width (cm): Width of the petal in centimeters. 6) Species: The species of the flower. My purpose is to analyze data and train model for the task assigned by Oasis Infobyte. #MachineLearning #DataScience #IrisClassification #OasisInfobyte #Internship #LearningJourney

Iris flower has three species; setosa, versicolor, and virginica, which differs according to their measurements. Now assume that you have the measurements of the iris flowers according to their species, and here your task is to train a machine learning model that can learn from the measurements of the iris species and classify them. #oasisinfobyte #internship

Hello connections!! I am thrilled to announce that I have successfully completed #task1 named Iris Flower Classification given by Oasis Infobyte !! This achievement marks a significant milestone in my internship journey. The iris flower dataset is a classic dataset in machine learning that contains measurements for 150 iris flowers from three different species: Setosa, Versicolor, and Virginica. #oasisinfobyte #internship #irisflowerclassification

hii guys👋 I am excited to share my experience in doing my first task during oasisinfobyte internship @oasisinfobyte #Oasisinfobyteinternship #task-1 Task: Iris flower has three species; setosa, versicolor, and virginica, which differs according to their measurements. Now assume that you have the measurements of the iris flowers according to their species, and here your task is to train a machine learning model that can learn from the measurements of the iris species and classify them.

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#Oasisinfobyte #Task1 #internship #november #iris flower classification Iris flower has three species; setosa, versicolor, and virginica, which differs according to their measurements. I assume that i have the measurements of the Iris flowers according to their species, and here your task is to train a machine learning model that can learn from the measurements of the iris species. Task: of iris flower classification with Machine Learning

Oasis Infobyte Internship Task 1: Iris Flower Classification Each of the three flower classes in 'Iris dataset':Versicolor, Setosa, and Virginica, has four features: sepal length, sepal width, petal length, and petal width. The classification of iris flowers aims predict blooms based on their distinctive characteristics. We developed a model for Iris Flower Classification using the logistic regression algorithm. The accuracy obtained is 97%, which shows how precise the model is. #oasisinfobyte

Need an answer to the age-old question: who am I going to hire over the summer that is an engineering genius and also sneaks in stray cats? We found her! 🤭 In honor of National Intern Week, we'd like to honor our cat-loving intern Amanda Wolf! Name: Amanda Wolf School: Purdue University Fun Fact: I have jet-skied in a thunderstorm. Favorite thing about The Pantheon: The history and atmosphere of the building! Zodiac Sign: Cancer Favorite Movie Quote: "I know I can never defeat you, Lobo. But I will never stop fighting for this life." - Puss in Boots: The Last Wish What do you want to be: Synthetic Biologist / Genetic Engineer Top 3 most used emojis: 😂🫡💥 What are you hoping to gain from your internship?: A better grasp of industry workings, and to both contribute and advance my skills with a real project that will make a difference in the world. Thank you for all you do Amanda!

During my internship at Oasis Infobyte, I worked on an Iris Flower Classification project. I applied machine learning techniques to build a model capable of classifying Iris flowers into different species based on sepal and petal dimensions. This project refined my expertise in data preprocessing, feature selection, and model validation, allowing me to produce accurate and reliable results #DataScience #MachineLearning #IrisClassification #DataPreprocessing #OasisInfobyte #Internship GitHub link: https://lnkd.in/gzZfkGuS

Just completed a fascinating project during my internship at Oasis Infobyte - Iris Classification! 🌿🔍 Utilized various data science techniques to accurately classify iris flowers based on their attributes. Excited to showcase my skills and the knowledge gained during this internship! #DataScience #InternshipProject #IrisClassification #OasisInfobyte #AICTE