First-Year Team's Experience in Machine Learning Hackathon at IIITDM

Machine learning is a rapidly growing field that has the potential to transform the way we interact with technology. As someone who has a keen interest in this field, I recently participated in a data science hackathon organized by IIITDM. The hackathon challenged participants to predict the future income of an insurance company using a given dataset.

My experience in the hackathon was both challenging and rewarding. We were provided with a dataset and were required to use modules such as pandas, seaborn, and pyplot to visualize the data. After completing the visualization work, the task at hand was to use machine learning algorithms to predict the future income of the insurance company.

To accomplish this task, we used the Scikit-Learn module from Python to train and test our data with multiple models such as LinearRegression, xgBoost, GradientBoost, and more. We found that the LinearRegression model was the most precise in predicting the future income of the insurance company. We were then able to submit our model to Kaggle, a platform for data science and machine learning competitions.

Participating in the hackathon was an exciting and challenging experience. It gave me an opportunity to apply the skills I have learned in machine learning and work collaboratively with my team. We were able to utilize various machine learning algorithms to analyze the data and make predictions about future income.

In conclusion, participating in the IIITDM data science hackathon was an enriching experience. It allowed me to gain practical experience in applying machine learning algorithms to real-world problems. I am excited to continue exploring the field of machine learning and am eager to take on more challenging projects in the future.

This was my small blog Thank you 😊

#WeMakeDev