jcohut Goto Github PK

2016-ml-contest

Machine learning contest - October 2016 TLE

2016_ml_competition_facies_classification

Selected files from original repo

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

anomalize

Tidy anomaly detection

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

capstoneproject

Repo for Coursera Capstone

cheatsheets

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

correlationfunnel

Speed Up Exploratory Data Analysis (EDA)

covid-19_matlab

cv

My CV built using RMarkdown and the pagedown package.

dash-oil-and-gas-demo

Dash Demo App - New York Oil and Gas

data-hr

data_repo_hr

datasciencebeginnerlevel

All stuff on IBM Data Science

datatable

data.table for Python

deeplearning-mini-projects

Spare time projects on Deep Learning

detext

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

dlaicourse

Notebooks for learning deep learning

driverlessai-recipes

Recipes for Driverless AI

equipment-failure-prediction

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

geospatialanalysis

Geospatial Analysis in North Sea Oilfield

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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.

interpretable-ml-book

Book about interpretable machine learning

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

jupyterlab-variableinspector

Variable Inspector extension for jupyterlab