Pinned Repositories
2019_replication_HastingsPowell_1991
2019 Replication of Hastings & Powell (1991) Chaos in a Three-Species Food Chain
2048
A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)
2DayCourse
My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
2DayCourse_Exercises
3Blue1Brown.com
adv-r
Advanced R: a book
AgML
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Artificial-Intelligence
The repository contains lab assignments for a course in Artificial Intelligence. These assignments deal with Hidden Markov Models and Zero Sum Games.
Cleaning_Data
Peer Assignment on Getting and Cleaning Data
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
Arun-Kaushik's Repositories
Arun-Kaushik/3Blue1Brown.com
Arun-Kaushik/adv-r
Advanced R: a book
Arun-Kaushik/AgML
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Arun-Kaushik/awesome_time_series_in_python
This curated list contains python packages for time series analysis
Arun-Kaushik/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
Arun-Kaushik/Data-Science-EBooks
Data Science E-books, Interview Resources and Cheat-sheets
Arun-Kaushik/EC350_Labor_Economics
Arun-Kaushik/generalized-additive-models
A document introducing generalized additive models.📈
Arun-Kaushik/geocompr
Open source book: Geocomputation with R
Arun-Kaushik/Introduction-to-Stochastic-Processes
Public material related to "Introduction to Stochastic Processes"
Arun-Kaushik/MAGNet
Arun-Kaushik/master
A machine learning course using Python, Jupyter Notebooks, and OpenML
Arun-Kaushik/math-review
Math review for new biostatistics students
Arun-Kaushik/mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4
Arun-Kaushik/ML_course
EPFL Machine Learning Course, Fall 2021
Arun-Kaushik/openai-quickstart-python
Python example app from the OpenAI API quickstart tutorial
Arun-Kaushik/Point-Processes
This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A Machine Learning Perspective.
Arun-Kaushik/pr-agent
🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍
Arun-Kaushik/probability_theory
Topics in Probability Theory and Stochastic Processes
Arun-Kaushik/pyecom
Arun-Kaushik/PyStat
Learn Statistics with Python
Arun-Kaushik/QuantEcon.py
A community based Python library for quantitative economics
Arun-Kaushik/rbook
Source files for "Learning Statistics with R"
Arun-Kaushik/reliability
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
Arun-Kaushik/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
Arun-Kaushik/SPI
Repository containing raw data, code, and final output for the Statistical Performance Indicators project of the World bank
Arun-Kaushik/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Arun-Kaushik/StudyMaterialsStatistics
This is the repository cntaing study material for Statistics.
Arun-Kaushik/Time-Series-Forecast
Time Series Forecast using GluonTS, FBProphet and Deep Learning with AutoKeras
Arun-Kaushik/videos
Code for the manim-generated scenes used in 3blue1brown videos