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learn_data_science_in_3_months

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-for-beginners

Start writing machine learning code in just 10 hours

ml-course

A machine learning course using Python, Jupyter Notebooks, and OpenML

nts-dsc-ml

Data science, analytics, and machine learning are growing at an astronomical rate and companies are now looking for professionals who can sift through the goldmine of data and help them drive swift business decisions efficiently. IBM predicts that by 2020, the number of jobs for all U.S. data professionals will increase by 364,000 openings to 2,720,000. We caught up with Eric Taylor, Senior Data Scientist at CircleUp in a Simplilearn Fireside Chat to find out what makes data science such an exciting field and what skills will help professionals gain a strong foothold in this fast-growing domain.

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

problempractice

Self Learning

py

Repository to store sample python programs for python learning

pycon-ds-2018

Introduction to Python for Data Science for PyCon 2018

pymlslides

Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book

python-design-patterns

Python Design Patterns

python-for-data-analysis

An introduction to data science using Python and Pandas with Jupyter notebooks.

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

sci-pype

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

shellphish

Phishing Tool for 18 social media: Instagram, Facebook, Snapchat, Github, Twitter, Yahoo, Protonmail, Spotify, Netflix, Linkedin, Wordpress, Origin, Steam, Microsoft, InstaFollowers, Gitlab, Pinterest

sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

source-code-from-tutorials

Here is the source code from all of my tutorials.

spider

Python website crawler.

springboot

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

technical-interview-youtube-tutorials

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorlayer

TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

tools

Codelabs management & hosting tools

ultimate-python-resource-hub

The Ultimate resource hub of Python: All at one place

web-development_intern-theory

Web development is a broad term for the work involved in developing a web site for the Internet (World Wide Web) or an intranet (a private network). Web development can range from developing the simplest static single page of plain text to the most complex web-based internet applications (or just 'web apps') electronic businesses, and social network services. A more comprehensive list of tasks to which web development commonly refers, may include web engineering, web design, web content development, client liaison, client-side/server-side scripting, web server and network security configuration, and e-commerce development. Among web professionals, "web development" usually refers to the main non-design aspects of building web sites: writing markup and coding. Most recently Web development has come to mean the creation of content management systems or CMS. These CMS can be made from scratch, proprietary or open source. In broad terms the CMS acts as middleware between the database and the user through the browser. A principle benefit of a CMS is that it allows non-technical people to make changes to their web site without having technical knowledge.