This is the final Assignment of MLCC Study Jam, DSC Kolkata. In this Assignment, you're asked to solve the official MLCC Notebooks. These notebooks are a property of Google Inc. To get accepted for final evaluation, complete all the notebooks and commit them to the branches having your github ID.

NOTE: All the Code cells of the notebooks must have the output to get accepted for final submission and for the official google goodies

To commit to the branches using colaboratory use the following video as the guide. MLCC - DSC Kolkata Version | Github - Google Colaboratory Workflow The Deadline for the Assignment will be announced in the groups.

• Quick Introduction to Pandas
• First Steps with Tensorflow
• Synthetic Features and Outliers
• Validation Set Programming Exercise
• Feature Set Programming Exercise
• Feature Crosses Programming Exercise
• Logistic Regression Programming Exercise
• Sparsity and L1 Regularization Programming Exercise
• Intro to Neural Networks Programming Exercise
• Improving Neural Net Performance
• MNIST Digit Classification Programming Exercise