andy bala's repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
30-Days-of-Python-3.6
This is a soon-to-be archived project version of 30 Days of Python. The original tutorial still works but we have an updated version in the works right now.
30-Days-of-Python-Exercises
Solutions to the exercises in 30-days-of-python repo | Python Coding Exercises Solutions | Python exercise repository | Python Solutions | Python Learning | Python Practice Exercises and Solutions
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
awesome-apache-airflow
Curated list of resources about Apache Airflow
Awesome-WSL
Awesome list dedicated to Windows Subsystem for Linux
build-your-own-radar
A library that generates an interactive radar, inspired by http://thoughtworks.com/radar/
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
docker-elk
The ELK stack powered by Docker and Compose.
learn-python
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
MCW
Microsoft Cloud Workshop Project
node-express-azure
Node & Express Demo App for Azure DevOps
nuclio
High-Performance Serverless event and data processing platform
og-aws
📙 Amazon Web Services — a practical guide
personal-website
Personal resume website using NodeJS/Angular.
personal-website-1
Code that'll help you kickstart a personal website that showcases your work as a software developer.
practical-python
Practical Python Programming (course by @dabeaz)
practicalAI-1
📚 A practical approach to machine learning to enable everyone to learn, explore and build.
pycon-2017-eda-tutorial
Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
sem-obsidian-starter-vault
🔮 Obsidian starter vault. Opinionated compilation of extensions and settings to help you learn and start exploring Obsidian.
sorobby-ObsidianStarterVault
Organize your Universe: An Obsidian starter vault for everyone, bridging the gap between ideas and actions
stack-docker
The Elastic Stack, on Docker, right now.
tech-radar
Visualizing our technology choices
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Virgilio
Your new Mentor for Data Science E-Learning.