This is a code repository for the LinkedIn Learning course Responsible AI Algorithm Design.

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Digital Signal Processing - Theory and Computational Examples

Collection of useful data science topics along with articles, videos, and code

5th place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge

An agent-based simulation of corona and other viruses 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 filte…

A curated list of awesome responsible machine learning resources.

This repository contains a race simulation to determine a race strategy for motorsport circuit races. Race strategy in this context means the determination of pit stops.

Data Analysis -101

A collection of work related to COVID-19

Data science interview questions and answers

VIP cheatsheets for Stanford's CS 229 Machine Learning

SOLID Principles explained in Python with examples.

⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.

Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

Some lecture notes of Operations Research (usually taught in Junior year of BS) can be found in this repository along with some Python programming codes to solve numerous problems of Optimization i…

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

List of Data Science Cheatsheets to rule the world

dplyr-style piping operations for pandas dataframes

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Guide to making your first command line app/game

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,…

Find Aadhaar cards thanks to Google

🐦 Access Twitter data without an API key. [DEPRECATED]

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci