Shubham Shakya's repositories
nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
airflow_docker
Modified Bitnami docker image to run Apache Airflow
airframe-react
Free Open Source High Quality Dashboard based on Bootstrap 4 & React 16: http://dashboards.webkom.co/react/airframe
kubernetes-workshop
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
Learn-Natural-Language-Processing-Curriculum
This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube
mlcourseai
Python notebooks for course mlcourse.ai
azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
d2l-pytorch
This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.
data-engineering-practice
Data Engineering Practice Problems
data-machinelearning-the-boring-way
Build & Learn Data Engineering,Machine Learning over Kubernetes. No Shortcut approach.
docker-hadoop-workbench
A Hadoop cluster based on Docker, including Hive and Spark.
docker-spark
Apache Spark docker image
dotfiles
To keep track on all the dot files
flask-hdp
Sample scripts for Flaskls and Big data Technologies
machine_learning_examples
A collection of machine learning examples and tutorials.
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
mysql_docker
MySQL docker image
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
spark-operator
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
sparkonkubernetes
This repository have all the code and steps needed to run spark on kubernetes cluster.
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
The-Python-Mega-Course-Build-10-Real-World-Applications-
The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by first creating simple programs. Once you learn the basics you will then be guided on how to create 10 real-world complex applications in Python 3 through easy video explanations and support by the course instructor. Some of the applications you will build during the course are database web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, and more. These programs are not only great examples to master Python, you can also use any of them as a portfolio once you have built them. By buying the course you will gain lifetime access to all its videos, coding exercises, quizzes, code notebooks, and the Q&A inside the course where you can ask your questions and get an answer the same day. On top of that you are covered by the Udemy 30-day money back guarantee, so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first two sections, you will learn Python basics such as functions, loops, and conditionals. If you already know the basics, then the first two sections can serve as a refresher. The other 22 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to make professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning Python today! What you’ll learn Go from a total beginner to an advanced-Python programmer Create 10 real-world Python programs (no useless programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app Create a portfolio website Create a desktop app for storing book information Create a webcam video app that detects objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Learn OOP (Object-Oriented Programming) Learn GUIs (Graphical-User Interfaces) Are there any course requirements or prerequisites? A computer (Windows, Mac, or Linux). No prior knowledge of Python is required. No previous programming experience needed. Who this course is for: Those with no prior knowledge of Python. Those who know Python basics and want to master Python
UdacityOpenSource
A repository to keep all open sources projects that created by individuals or study groups.