pravin-inspire/ML_DS_Catalog-

Data Science

ML_DS_Catalog- Index

• AV Rampaging DataHulk

• DCGAN for MNIST

• Variational Auto Encoder

• Bhattacharya Distance Variational Auto Encoder

• Kaggle Carvana

• Kaggle Intel & MobileODT Cervical Cancer Screening

• Kaggle Planet: Understanding the Amazon from Space

• Kaggle porto-seguro-safe-driver-prediction

• Kaggle Renthop

• Kaggle The Nature Conservancy Fisheries Monitoring

• SuperHeroes Identification from Product Images - Crowd Analytix

• Kaggle Toxic Comment Classification Challenge

• Mutiple Minimum Support Apriori Algorithm

• [Pro Deep Learning with Tensorflow book Code]

Chapter	Topics
Chapter 2	Regression and Classification and XOR Networks with ANNs
Chapter 3	Concolutional Neural Netowork
Chapter 4	Recurrent Neural Netowork
Chapter 5	Restricted Boltzmann Machines and Auto Encoders
Chapter 6	Semantic Segmentation and U-Net Architectures, GANs(generative Adversarial networks)

• Research Paper on Process Performance Optimization using Taylor Series Expectation approximation