decisiongate Goto Github PK

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2021

anomaly-detection-using-python

Repository showing the basic example of anomaly detection using python 3.x

automobile-price-prediction-project

Development of a web app that predicts the automobile price.

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-jupyter

A curated list of awesome Jupyter projects, libraries and resources

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python-data-science

Probably the best curated list of data science software in Python.

awesome-python-in-education

A curated list about Python in Education :snake: :mortar_board:

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bayesian-text

A hands-on workshop applying Naive Bayes to text classification

classification-models-using-python

Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python

coding-challenges

My solutions to coding challenges

computationalstatistics

An Introduction to Computational Statistics in Python for Data Institute Conference 2019

data-science-and-machine-learning-theory-and-projects-a-to-z

data-science-focused-python-project

continuous integration rep

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-with-python-notebooks

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

deep-unsupervised-learning

Deep Unsupervised Learning Course

deeplearningspecialization

A deeplearning.ai specialization course provided by Coursera covering all aspects of Deep Learning.

docker-stacks

Opinionated stacks of ready-to-run Jupyter applications in Docker.

ds-unit-1-sprint-2-statistics

ds-unit-2-applied-modeling

ds-unit-2-kaggle-challenge

dsswithpython

Companion to textbook "Decision Support Systems: Introduction to Data Science with Applications"