I am thrilled to share my journey during the Codsoft Data Science Internship, where I had the opportunity to work on three exciting projects that delved into different aspects of data science. This internship has been an invaluable learning experience, and I am excited to showcase the results of my hard work.
In the first task, I explored the classic Titanic dataset to predict passenger survival. Leveraging machine learning algorithms and data analysis techniques, I aimed to uncover patterns and factors influencing survival rates.
Task 2 involved predicting movie ratings, a fascinating challenge that allowed me to dive into recommendation systems. Through data preprocessing and model building, I aimed to create a predictive model for movie ratings.
Iris Flower Classification Description: The Iris Flower Classification project is a classic machine learning task. It involves using the Iris dataset to classify iris flowers into different species based on their sepal and petal measurements.
The Codsoft Data Science Internship has been an enriching experience, providing me with the skills and knowledge to tackle real-world data challenges. I am grateful for the opportunity to contribute to meaningful projects and look forward to applying these skills in future endeavors. Connect with me on LinkedIn and explore my GitHub repositories for a detailed look into each project. Thank you, Codsoft, for this incredible learning journey!