Muhammad Imran's repositories
bike_predict
A demo of an end-to-end machine learning pipeline, using RStudio Connect
scikit-learn-tips
:robot::zap: Daily scikit-learn tips
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
covid-19-data
An ongoing repository of data on coronavirus cases and deaths in the U.S.
practicals-2019
Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
Causal-Inference-for-Data-Scientists
Notebooks of Python and R code which illustrates basic causal inference using simulated data
interpretable-ml-book
Book about interpretable machine learning
odsc-target-leakage-workshop
Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019 (Boston)
ctrdata
Aggregate and analyse information on clinical trials from public registers
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
EntityEmbedding-Working_Example
This repository contains a notebook demonstrating the practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
ABtests
AB test framework for python
Python-Deep-Learning-Projects
Python Deep Learning Projects, published by Packt
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
deep-learning-with-r-notebooks
R notebooks for the code samples of the book "Deep Learning with R"
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow.
Pyod
A Python Toolkit for Outlier Detection (Anomaly Detection)
keras-anomaly-detection
Anomaly detection implemented in Keras
Data-Analysis
Data Analysis Using Python
WindfallData
Data Science projects for Windfall Data
IEM
Inference Enterprise Modeling
FreeML
Data Science Resources (Mostly Free)
machine-learning-helpers
A small repository for keeping repeating code chunks that are mostly required for the typical errands in machine learning projects.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
l1tf
L1 trend filtering
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code