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data-analysis

Data Science Using Python

data-engineering-course

A data engineering course that focuses on how to create a real-time Twitter analytics dashboard for streaming tweets with a sentiment analysis (NLP) feature.

data-science-ipython-notebooks

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, AWS, and various command lines.

data4test

dataset

data_4_lnp

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-course

Deep learning course

deploy-a-model-on-cloud-ml-engine

devops-master-class

Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops

drivetogithub

ds

dsnd_term1

Contains files related to content and project of DSND

dsnd_term2

Contains files related to content and project of DSND Term 2

falcon-40b

fast-style-transfer-keras-tf.js

This is a fast neural style transfer implement with Keras 2.

fihm

files

first_flutter_app

Chat app using Flutter

flaskappto

flask_4_aws

generative-ai

Sample code and notebooks for Generative AI on Google Cloud

google-maps-nearby-search-js

Sample code for a web app using Google Maps Platform APIs for maps, geolocation, and place search

greenparadise

greenparadisebackend

hajj

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.

hello

hello_world

iwd20