Narendra Raghuwanshi's Projects
Do's and Don'ts for Android development, by Futurice developers
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! š)
:beers: awesome cheatsheet
:books: List of awesome university courses for learning Computer Science!
A curated list of awesome Machine Learning frameworks, libraries and software.
š A curated list of awesome programming books
Books on my list
Horeku
š¤ Build your own (insert technology here)
A complete computer science study plan to become a software engineer.
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
Course Files for Complete Python 3 Bootcamp Course on Udemy
The Data Engineering Cookbook
Cheat Sheets
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Dojo Toolkit 1.9 Tutorial
donateyourbook-ui