During my internship at YBI Foundation, I gained hands-on experience in business analytics through live sessions that provided in-depth instruction on handling data and applying advanced data science concepts. I completed several key projects using real-world datasets provided during the internship:Random Forest Classification: Developed and implemented a Random Forest model to analyze and predict business trends, enabling data-driven decision-making.Linear Regression on Servo… Show more During my internship at YBI Foundation, I gained hands-on experience in business analytics through live sessions that provided in-depth instruction on handling data and applying advanced data science concepts. I completed several key projects using real-world datasets provided during the internship:Random Forest Classification: Developed and implemented a Random Forest model to analyze and predict business trends, enabling data-driven decision-making.Linear Regression on Servo Data: Applied linear regression techniques to model and interpret servo performance data, offering insights into system optimization. Logistic Regression on Hill and Valley Data: Utilized logistic regression to classify and predict outcomes in the Hill and Valley dataset, enhancing predictive accuracy for business strategies. These projects allowed me to apply theoretical knowledge in a practical setting, strengthening my skills in regression analysis, machine learning models, and business analytics. My experience was further enriched through continuous learning in live sessions, where I engaged deeply with the concepts and methodologies essential to data science. Show less