Annlita Paulson’s Post

TASK 03 Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Use a dataset such as the Bank Marketing dataset from the UCI Machine Learning Repository. #ProdigyInfoTech #DataScience #Internship

TASK 03 Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Use a dataset such as the Bank Marketing dataset from the UCI Machine Learning Repository. #ProdigyInfoTech #DataScience #Internship

Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Use a dataset such as the Bank Marketing dataset from the UCI Machine Learning Repository. #ProdifyInfoTech #Internship #DataScience 

Task 3 - Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Use a dataset such as the Bank Marketing dataset from the UCI Machine Learning Repository. GitHub link : https://lnkd.in/esrM_C4F Prodigy InfoTech #internship #datascience #intern #dataanalysis #datavisualization #exploratorydataanalysis #prodigyinfotech

SkillCraft Technology TASK 3 Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Use a dataset such as the Bank Marketing dataset from the UCI Machine Learning Repository. #SkillCraftTechnology #Grateful #Internship #DataScience

Hello there, I have successfully completed my third task on the #ProdigyInfoTech (Task-03) internship which was an task to build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Use a dataset such as the bank marketing dataset from the UCI machine learning repository. It is based upon a tree classifier where the pandas and numpy like modules were used to develop an precision based tree classifier prediction is been used in this project. #prodigyinfotech #internship

I had the opportunity to work with a Decision Tree Classifier on the Bank Marketing dataset, and it was an enriching experience. This project has sharpened my skills in machine learning and demonstrated the power of data-driven decision-making. #prodigyinfotech #internship #Datascience

🔒 Internship: Task-3 completed🔓 Excited to share that I've successfully completed a significant task during my internship in #ProdigyInfoTech! 🚀 I built a Decision Tree Classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. I utilized the Bank Marketing dataset from the UCI Machine Learning Repository for this project. 📊 Key Highlights: ✔ Analyzed and preprocessed the dataset to ensure high-quality input data. ✔ Designed and implemented a Decision Tree model to classify customer purchase behavior. ✔ Achieved insightful results, enabling better understanding of customer profiles and improving targeted marketing strategies. This project has been a fantastic learning experience, enhancing my skills in machine learning, data analysis, and model evaluation. #MachineLearning #DataScience #Internship #DecisionTree #CustomerAnalytics #Marketing #UCI #CareerGrowth

Excited to Share My Latest Achievement! Proud to have earned my Virtual Internship Certificate for completing the Data Analytics Virtual Internship with Trainity ! This experience was a journey of growth, hands-on learning, and turning complex data into meaningful insights. During the internship, I tackled two key projects: 🎬 IMDB Movie Analysis – Explored data trends in movie ratings and viewer preferences, providing actionable insights into what makes a movie successful. 🏦 Bank Loan Case Study – Investigated customer and loan patterns to help identify factors contributing to loan default and support data-driven decision-making. This opportunity deepened my expertise in data analytics, especially in critical areas like Excel, visualization, and predictive analysis. It also challenged me to think creatively and analytically to solve real-world problems. A big thank you to Trainity for this immersive experience. I’m excited to continue leveraging these skills to drive impactful results in future projects! #DataAnalytics #VirtualInternship #LearningJourney #ProfessionalDevelopment #IMDBAnalysis #BankLoanCaseStudy #Trainity

Reflecting on my summer internship, I've had the opportunity to dive into Data Science and contribute to Digital Empowerment Network. From Task 1 to Task 4, each experience has enriched my skills and broadened my perspective. Grateful for the guidance from my amazing team and excited to apply these insights moving forward! #InternshipExperience #ProfessionalGrowth #LearningJourney"