Aastha joshi’s Post

Excited to Announce My Latest Achievement! I’ve just wrapped up Task 3 of my CodSoft Data Science internship, focusing on the Iris Flower Prediction project! 📊 Highlights: 🔹Data Exploration & Preprocessing:Performed detailed cleaning and visualization of the Iris dataset to reveal key insights and relationships. 🔹Feature Engineering:Crafted significant features and applied normalization techniques to elevate model accuracy. 🔹Model Building:Developed and fine-tuned multiple models, including Logistic Regression, K-Nearest Neighbors, and Random Forest Classifier, to effectively classify iris species. 🔹Model Evaluation:Utilized metrics such as accuracy, precision, and recall to rigorously evaluate and ensure the reliability of the models. Looking forward to tackling the next challenge in this dynamic journey! 🚀 #CodSoft #DataScience #IrisPrediction #Internship #MachineLearning #DataAnalysis #CareerGrowth #LinkedInLearning

Hello Everyone !!! 🌟 Unveiling my second task "IRIS FLOWER CLASSIFICATION" completion video of the data science internship at CodSoft. 💥 The objective of the project was to train a machine learning model that can learn from the measurements of the iris flowers categorized by their respective species and can accurately classify them with respect to their belonging species. This model developed can classify iris flowers into different species based on their petal and sepal measurements. 🎉 The journey providing the opportunity to dive into the concepts of the data science and machine learning, understanding them by self and utilizing them in the program...💫 #internship #datascience #taskcompletion #projectachievement #thankful #codsoft #professionalgrowth

🌸 Excited to share the final task of my internship journey at Codsoft: Iris Flower Classification! 🌿 🔍 Task Three: Classifying Iris Flowers In this project, I worked with the classic Iris flower dataset, aiming to develop a machine learning model capable of accurately classifying Iris flowers into their respective species: setosa, versicolor, and virginica. The distinguishing features for classification were the measurements of the flowers' sepals and petals. 📊 Leveraging introductory classification techniques, I delved into the dataset to understand the patterns and nuances that differentiate the Iris species. Through model training and evaluation, I sought to build a robust classifier that could generalize well to new instances. 💡 This project provided an excellent opportunity to deepen my understanding of classification algorithms and their application in real-world scenarios. The Iris dataset's simplicity belies its significance as a foundational dataset in the field of machine learning. 🌟 I'm immensely grateful to Codsoft for guiding me through this internship journey, equipping me with invaluable skills and experiences in data science and machine learning. Excited to continue exploring new challenges and opportunities in this dynamic field! #DataScience #MachineLearning #IrisFlowerClassification #Classification #Internship #Codsoft #DataAnalysis

Excited to Announce My Latest Achievement! I’ve just wrapped up Task 3 of my CodSoft Data Science internship, focusing on the Iris Flower Prediction project! 📊 Highlights: 🔹Data Exploration & Preprocessing:Performed detailed cleaning and visualization of the Iris dataset to reveal key insights and relationships. 🔹Feature Engineering:Crafted significant features and applied normalization techniques to elevate model accuracy. 🔹Model Building:Developed and fine-tuned multiple models, including Logistic Regression, K-Nearest Neighbors, and Random Forest Classifier, to effectively classify iris species. 🔹Model Evaluation:Utilized metrics such as accuracy, precision, and recall to rigorously evaluate and ensure the reliability of the models. Looking forward to tackling the next challenge in this dynamic journey! 🚀 #CodSoft #DataScience #IrisPrediction #Internship #MachineLearning #DataAnalysis #CareerGrowth #LinkedInLearning

"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 🚀 🚀 🎯

🚀"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

I'm excited to share that I've completed Task 2 of my internship at CodSoft: the Iris Flower Classification project. Using the Iris dataset, I meticulously preprocessed the data, handling missing values and converting categorical variables. I visualized the relationships between different measurements such as sepal length, sepal width, petal length, and petal width using Pandas, Seaborn, and Matplotlib. I then split the dataset into training and testing sets. Utilizing Scikit-Learn, I trained a logistic regression model to classify the Iris flowers into three species: Iris-setosa, Iris-versicolor, and Iris-virginica. The model's performance was evaluated using metrics like precision, recall, and F1-score, achieving high accuracy on both training and testing datasets. This project has been an incredible opportunity to enhance my skills in data preprocessing, visualization, and machine learning model development. #DataScience #MachineLearning #Internship #codsoft

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

🚀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