shik3519

collaborative-filtering

Implementation of collaborative filtering using fastai and pytorch

deep-learning

deep-learning-xray

Study of chest X-rays using deep learning architectures

machine-learning

Implementation of different machine learning techniques

programming-concepts-for-data-science

Basics of programming: algorithms, data structures, object oriented programming

shik3519/machine-learning

Implementation of different machine learning techniques

shik3519/programming-concepts-for-data-science

Basics of programming: algorithms, data structures, object oriented programming

shik3519/collaborative-filtering

Implementation of collaborative filtering using fastai and pytorch

shik3519/deep-learning

shik3519/deep-learning-xray

Study of chest X-rays using deep learning architectures

shik3519/housing

shik3519/m8-dataframes

Module 8: Introduction to Data Frames

shik3519/mckinsey-hackathon

shik3519/random-forest-importances

Code to compute permutation and drop-column importances in Python scikit-learn random forests

shik3519/shik.github.io

shik3519/spark-distributed-computing

Implementing algorithms using PySpark

shik3519/sphinx-example