Vijai K Mathew (VijaiKMathew)

VijaiKMathew

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Location:Ernakulam,Kerala

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Vijai K Mathew's repositories

analytics-edge

My notes and solutions to homework of The Analytics Edge course on edX

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Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - originally created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until atleast 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

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Competitions

Competition repository

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courses

fast.ai Courses

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deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

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ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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jupyter-themes

Custom Jupyter Notebook Themes

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machine-learning

Machine Learning Notebooks by Anderson

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machine_learning_examples

A collection of machine learning examples and tutorials.

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practical-deep-learning

fast.ai course for coders

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Practical-Machine-Learning-With-Python

Machine Learning Tutorials in Python

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practical-machine-learning-with-python-1

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

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TensorFlow-Examples

Concise TensorFlow Examples for Beginners with Latest APIs

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Trading_dashboard

Trading_dashboard testing

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Udacity

Data Analyst Nano-degree Projects, Deep Learning, Android, some front end stuff

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xgbfir

XGBoost Feature Interactions Reshaped

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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