Shraddha More’s Post

🚀I am happy to share that I have successfully completed my third task during my Data Science internship at CodSoft : the Iris Flower Classification project! This experience has been a fantastic opportunity to apply my Data Science skills in a real-world scenario. 🚀 ✨In this project, I utilized the Random Forest Classifier and Support Vector Machine concepts to analyze and classify different species of iris flowers. The results were not only fascinating but also highlighted the power of these machine learning algorithms in making predictions based on data. 🌼📊 ✨To make this project even more user-friendly, I developed an interactive interface using Streamlit, allowing users to easily input data and visualize classification results in real-time! 🌟 #codsoft #DataScience #Internship #RandomForest #SVM #Streamlit #CareerGrowth #ProfessionalDevelopment

🚀"Excited to share this recent accomplishment!"🚀 I’m excited to announce that I’ve successfully completed Task 3 of my data science internship: IRIS Flower Classification! 🌸📊CodSoft In this task, I delved into the world of machine learning with the IRIS dataset, focusing on classifying flower species based on various features. This project enhanced my understanding of classification algorithms, data visualization, and model evaluation. Key Highlights: Data Exploration: Analyzed and visualized the IRIS dataset to understand its structure and features. Model Building: Implemented various classification algorithms, including Logistic Regression, Decision Trees, and k-Nearest Neighbors (k-NN). Model Evaluation: Assessed model performance using accuracy, precision, recall, and F1-score metrics. Insights: Gained valuable insights into feature importance and the impact of different algorithms on classification outcomes. A big thank you to CodSoft for the opportunity and support throughout this internship. Looking forward to applying these skills to new and exciting challenges! #DataScience #Internship #CodSoft

Excited to Share My Progress! 🌟 Successfully completed task 3 of the CodSoft internship in Data Science! This time, I worked on the Iris Flower Prediction project. 🌸📊 The dataset included measurements of sepal length, sepal width, petal length, and petal width for three species of iris flowers. Key Highlights: 🔹 Data Exploration & Preprocessing: Cleaned and visualized the Iris dataset to understand the relationships between different features. 🔹 Feature Engineering: Extracted meaningful features and performed normalization to enhance model performance. 🔹 Model Building: Developed and trained several models including Logistic Regression, K-Nearest Neighbors, and Random Forest Classifier to classify iris species. 🔹 Model Evaluation: Evaluated the models using metrics such as accuracy, precision, and recall to ensure robust predictions. Looking forward to tackle the next challenge in this exciting journey! 🚀 #CodSoft #DataScience #IrisPrediction #Internship #MachineLearning #DataAnalysis #CareerGrowth #LinkedInLearning

Hello, Connections🙋♀️, I'm delighted to share that I've completed a project on iris flower classification using data analysis and machine learning. The aim of this task is to develop a machine learning model that can accurately classify Iris flowers into their respective species based on their sepal and petal measurements. This is a classic introductory classification problem where the goal is to train a model to distinguish between three different species of Iris flowers: setosa, versicolor, and virginica. By implementing the KNN algorithm for Iris flower classification, we can develop a machine learning model that accurately distinguishes between the three species of Iris flowers based on their sepal and petal measurements. KNN is a simple yet effective algorithm for classification tasks, making it suitable for this introductory problem. This internship task at codsoft is helping me to enhance my skills in data science and analysis. 📈 GitHub Link : https://lnkd.in/dkk8t6nJ  #datascience #datascienceinternship #codsoft #codsoftinternship #intern2024

Hello connections, I recently completed the #task3 of Data Science Internship at Oasis Infobyte. The task was to train a Car Price Prediction model. The challenge was fun and helped me in enhancing my knowledge related to various ML models such as LinearRegression, Decision Trees, Random Forest, and some boosting techniques such as XGBoost and AdaBoost. #internship #dataanalysis #oasisinfobyte

TASK 3 - IRIS FLOWER CLASSIFICATION Continuing my journey in the Data Science internship at CodSoft, I tackled the task of classifying Iris flowers into different species based on their sepal and petal measurements. Leveraging the widely-used Iris dataset, I developed a machine learning model using a K-Nearest Neighbors classifier. #internship #datascience #codsoft

#Internship #oasisinfobyte #Task-2 I am beyond grateful to have had the opportunity to intern at Oasis Infobyte in the field of Data Science. It has been an incredible learning experience and I am excited to share my first project/task with you all - the Iris Flower classification. Through this project, I was able to apply my knowledge of machine learning algorithms and data analysis techniques to accurately classify different types of Iris flowers. It was a challenging yet rewarding task that allowed me to gain hands-on experience in the field of data science. #DataScience

"I'm thrilled to share that I've successfully completed my first task during my data science internship with Codsoft! Task Completion 🚀 : Iris Flower Classification using Machine Learning Task Objective: Train a machine learning model to classify Iris flowers into their respective species (setosa, versicolor, and virginica) based on their measurements. What I did: I worked with the Iris flower dataset, exploring and preprocessing the data to prepare it for modeling. Then, I trained and evaluated a machine learning model to accurately classify the Iris flowers into their respective species. Skills used: Data preprocessing, feature engineering, machine learning modeling, and model evaluation. Takeaway: This task helped me develop my skills in machine learning and data analysis, and I'm excited to apply these skills to more complex projects in the future. Feel free to connect with me to learn more about my experience and projects during my internship with Codsoft! #datascience #machinelearning #irisflowerdataset #codsoftinternship 🚀 🚀 🎯

🚀 Exciting news from my CodSoft internship in Data Science 🚀 I have completed the third task in the internship which was Iris Flower Classification in which I have used Random Forest Classifier algorithm to predict the flower species. Below is an explanation of I predicted the species. #Internship #codsoft #Codsoft #DataScience