sidsriv,Siddhant Srivastava,github

genomic_data_science_capstone

Analysis reports from Genomic data science capstone by Johns Hopkins University offered by Coursera

improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization

Course - 2 of Deep Learning specialisation taught by Andrew Ng offered by Coursera

introduction-to-data-science-in-python

This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera

introduction-to-deep-learning

This repository contains Ipython notebooks from the course 'Introduction to deep learning', part 1 of Advance machine learning Specialisation offered by higher school of economics at coursera.

introduction-to-natural-language-processing-umich-coursera

This repository contains weekly assignments on implementing NLP algorithms given in the course "Introduction to Natural Language Processing" offered by University of Michigan.

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

kaggle-notebooks

This repository contains Ipython notebooks of my attempt on practice problems posted on Kaggle.com

keras

Deep Learning for humans

linuxgems

A succinct cheat sheet for newbie linux coders and system administrators, documenting some of the more obscure and useful gems of linux lore. Intended to be viewed in emacs org-mode, or VimOrganizer, though any text editor will suffice.

minos

Deep learning, architecture and hyper parameters search with genetic algorithms

ml-classification

Codes from Coursera's course Machine Learning - classification, part of machine learning specialization offered by University of Washington

ml-clustering

Codes from Coursera's course Machine Learning - clustering, part of machine learning specialization offered by University of Washington

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

ml-foundation

Codes from Coursera's course Machine Learning - foundation, part of machine learning specialization offered by University of Washington

ml-regression

Codes from Coursera's course Machine Learning - regression, part of machine learning specialization offered by University of Washington

models

Models and examples built with TensorFlow

neural-networks-and-deep-learning

Course - 1 of Deep Learning specialisation taught by Andrew Ng offered by Coursera

neural-networks-for-machine-learning

Programming assignment given in course 'Neural Networks for machine learning' taught by Prof. Geoffrey Hinton, University of Toronto.

no-food-waste-1

Prevent food waste by creating an interactive multi-channel system that will allow people with surplus excess foods from Weddings , Parties, and other events, to contact 'No Food Waste' to donate food, as well as for hungry individuals and institutions requiring food supplies to request help from 'No Food Waste'

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