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2020-datascience-lectures

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

50projects50days

50+ mini web projects using HTML, CSS & JS

alumni-sessions

All ALumni Session Content

amld2020-workshop

This repo contains workshop material for Applied Machine Learning Days 2020 conference

applied-machine-learning-ensemble-modeling-live-training

Live Training Session: Applied Machine Learning:Ensemble Modeling

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-deep-learning

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

awesome-rl

Reinforcement learning resources curated

awesome-solidity

⟠ A curated list of awesome Solidity resources, libraries, tools and more

awesome-startup

:sunglasses: All the required resources to build your own startup

awesome-startup-credits

✨ A collection of awesome companies offering free/discounted plans for eligible startups

build-a-dapp

Build Decentralized Web and Distributed Computing Projects

building-probabilistic-graphical-models-with-python

capstone_project

case-study-data-driven-decision-making-with-sql-

coding-interview-university

A complete computer science study plan to become a software engineer.

community-groupby

This repository contains notebook + code for DataCamp community post on groupbys, split-apply-combine and pandas.

competitive-data-science

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

cookbook

The Data Engineering Cookbook

data-cleaning-with-pyspark-live-training

Live Training Session: Cleaning Data with Pyspark

data-science-hacks

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning-workshop

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

design-thinking-intro