Predicting Student Admissions with Neural Networks using Python 🐍 :

• We tried in this notebook to predict student admissions to graduate school at UCLA based on three pieces of data.
  • GRE Scores (Test)
  • GPA Scores (Grades)
  • Class rank (1-4)

General overview 🕊️ :

• 👣 Here are the steps we followed in this notebook :
  • Loading the data.
  • Plotting the data.
  • One-hot encoding the input variable we are interested in.
  • Scalling the data.
  • Splitting the data into Training and Testing.
  • Splitting the data into features and targets (labels).
  • Training the 1-layer Neural Network.
  • Calculating the Accuracy on the Test Data.
• 📊 The dataset used is provided in this repository.
• 🙌 This notebook realised with the help of udacity courses.
• 📫 Feel free to contact me if anything is wrong or if anything needs to be changed 😎! [email protected]