100 Days of Deep Learning - Graduate Admission Prediction using ANN

In the world of artificial neural networks (ANN), predicting gre admissions becomes an exciting application. Using ANN, we create a predictive model that learns patterns from historical data, considering factors such as GRE scores, GPA, and other relevant features. The network optimizes its parameters during training to make accurate predictions regarding the likelihood of admission. Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes Code - https://www.kaggle.com/campusx/gre-admission-prediction ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ✨ Hashtags✨ #ArtificialNeuralNetworks #GraduateAdmissions #PredictiveModeling #DataScience #machinelearning ⌚Time Stamps⌚ 00:00 - Intro 01:24 - Exploring the dataset 06:28 - Neural Network Architecture 16:45 - Curve Graph 17:10 - Outro