pmarkoo Goto Github PK

a4tech-bloody-linux-driver

advanced-ml-projects

astroml

Machine learning, statistics, and data mining for astronomy and astrophysics

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

best-data-science-books

80 Best Data Science Books That Are Worthy Reading

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

blogposts

FIles for blog posts

byu_econ_applied_machine_learning

The course work for the applied machine learning course I am teaching at BYU

clean-code-ml

:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series: https://bit.ly/3a4k9x3

clustering_od

K-means Clustering Algorithm in pure Python 3.5 (solved with Lloyds algorithm)

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

convpy

Library for lagged conversion rate estimation. Based on the paper "Modeling Delayed Feedback in Display Advertising", Chapelle, 2014.

coursera-machine-learning

Coursera Machine Learning - Python code

covid_data

data-science-from-scratch

code for Data Science From Scratch book

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-learning-and-rare-event-prediction

Deep Learning and Rare Event Prediction

first-neural-network

Used Numpy to build a Neural Network to predict daily ridership of a bike sharing service.

first_spark_model

Your first Apache Spark model :)

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.

identifying-fraudulent-activities

Predicting Fraud in Electronic Commerce: Fraud Detection Techniques in E-Commerce

intro_programming

A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

islr

Student Solutions to An Introduction to Statistical Learning with Applications in R

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jlocalcoin

Blockchain (similar to btc) implementation in Java. This is mirror repository.

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

learningsparkv2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

machine-learning-books-with-python

Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python

machine-learning-with-pyspark

Source Code for 'Machine Learning with PySpark' by Pramod Singh