- Project-1: Supervised Learning | Finding Donors - Create a Supervised Learning model for CharityML that predicts whether an individual makes more than $50,000
- Gradient Descent - Lab exercise to implement the Gradient Descent Algorithm
- Student Admissions - Lab exercise to implement a 2-layer neural network that predicts student admissions based on Test, Grade and Rank
- Deep Learning Excercises - Lab exercises on Deep Learning using PyTorch
- Project-2: Deep Learning | Image Classifier - Create a Deep Learning model that predicts the name of the flower in an image from among the 102 classes of flowers
- Un-supervised Learning Exercises - Lab exercises on Clustering
- Project-3: Un-supervised Learning | Identify Customer Segments - Identify customer segments of a mail-order sales company
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