Siddhant Srivastava's repositories
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
Simulation-and-modelling-of-natural-processes
This repository contains graded assignments in python-3 language of the course 'Simulation and modelling of natural processes' by University of Geneva offered by Coursera.
Applied-text-mining-in-Python
This repository contains graded assignments in python-3 language of the course 'Applied text mining in Python', part of the specialisation 'Applied data Science using Python' by University of Michigan offered by Coursera.
Convolutional-Neural-Networks
Course - 3 of Deep Learning specialisation taught by Andrew Ng offered by Coursera
Applied-ML-in-Python
This Repository contains Weekly modules and assignments from the course 'Applied Machine Learning in Python', Part of the Applied 'Data Science in Python specialisation' from University of Michigan.
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.
Unix-workbench-assignment
peer graded assignment for the course Unix Workbench by Coursera
Bayesian-methods-for-machine-learning
This repository contains Ipython notebooks from the course 'Bayesian Methods for machine learning', part 3 of Advance machine learning Specialisation offered by higher school of economics at coursera.
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
Data-Science--Cheat-Sheet
Cheat Sheets
Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization
Course - 2 of Deep Learning specialisation taught by Andrew Ng offered by Coursera
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Neural-Networks-and-Deep-Learning
Course - 1 of Deep Learning specialisation taught by Andrew Ng offered by Coursera
Coursera-test
This repository is playground for Coursera's course on using git
ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
Notes-for-Stanford-CS224N-NLP-with-Deep-Learning
Notes for Stanford CS224N: Natural Language Processing with Deep Learning.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
approachingalmost
Approaching (Almost) Any Machine Learning Problem
awesome-ds-setting
Data science setting for a new machine
cs229-2018-autumn
All notes and materials for the CS229: Machine Learning course by Stanford University
it-cert-automation-practice
Google IT Automation with Python Professional Certificate - Practice files
keras
Deep Learning for humans
models
Models and examples built with TensorFlow
Practical_RL-coursera
My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera
sidsriv.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
test-coursera
test repo for google course on git