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Rajkumar Kannan's Projects

articles icon articles

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

big-data-analytics-in-health-care icon big-data-analytics-in-health-care

CS 6250 Big Data Analytics in Health Care: This course introduced big data techniques and tools for analyzing and solving health care problems.

book_code icon book_code

This project contains the code for the OUP book Data Science & Complex Networks

cse6242-data-visual-analytics icon cse6242-data-visual-analytics

Techniques used for data analytics and visualizations, including Python, SQLite, JavaScript/D3, Hadoop, Spark, Pig, AWS, Azure, Random Forest, etc.

d2l-en icon d2l-en

An interactive deep learning book with code, math, and discussions, based on the NumPy interface.

data icon data

Data and code behind the articles and graphics at FiveThirtyEight

data-visual-analytics icon data-visual-analytics

CS 6242 Data and Visual Analytics: This course introduced techniques and tools for analyzing and visualizing data at scale.

database-systems icon database-systems

CS 6400 Database Systems and Design: This course introduced techniques and tools for creating a data warehouse application for a real-world project.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

ds-python-data-analysis icon ds-python-data-analysis

Data manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University

hands-on-natural-language-processing-with-python icon hands-on-natural-language-processing-with-python

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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