Diptanshu Singh's repositories
algorithms-2
This repository is for learning and understanding how algorithms work.
AppliedStatisticsForNeuroscience
Materials for UC Berkeley Neuroscience 299
appliedstats
:bar_chart: Methods of Applied Statistics Course Textbook Repository
CausalImpact
An R package for causal inference in time series
COMS4995-s19
COMS W4995 Applied Machine Learning - Spring 19
gotraining
Go Training Class Material :
handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
IntroStatLearn
Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
ISI_Workshop_2019
Materials for 1-day workshop on high dimensional time series analysis at ISI 2019
ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
ISLR-python-1
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Machine-Learning
Machine Learning Projects
machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
mlcourse.ai
Open Machine Learning Course
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
pdf-dump
A dump of all the data science materials (mostly pdf's) that I have accumulated over the years
Practical-Time-Series-Analysis
Practical Time-Series Analysis, published by Packt
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
programmers-introduction-to-mathematics
Code for A Programmer's Introduction to Mathematics
ProgrammersIntroMathematics
Programmers Intro to Mathematics Excercises
random-scripts
Random Stuff
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
tspreprocess
A Python package to preprocess time series