• Data Science tutorial
  Numpy, pandas, scikit, linear and logistic regression, Movies to walk you through basic concepts
  with data numpy pandas regression science scikit tutorial
• GitHub - HeroKillerEver/coursera-deep-learning
  Solutions to all quiz and all the programming assignments!!!
  with system:unfiled
• GitHub - Kulbear/deep-learning-coursera
  Deep Learning Specialization by Andrew Ng on Coursera.
  with system:unfiled
• Google Dataset Search
  Search for public data sources for your data analytics or data science project;
  with dataset google search by 2 users
• kPOD This Python package implements an extension to the k-means clustering algorithm for use with missing data.
  The k-POD method presents a simple extension of k-means clustering for missing data that works even when the missingness mechanism is unknown, when external information is unavailable, and when there is significant missingness in the data. In addition, k-POD presents strong advantages in computation time and resources over other methods for removing missingness, while still maintaining accuracy.
  with clustering kmeans kpod library python
• Node.js meets OpenCV’s Deep Neural Networks — Fun with Tensorflow and Caffe
  In this tutorial we are going to learn how to load pretrained models from Tensorflow and Caffe with OpenCV’s DNN module and we will dive into two examples for object recognition with Node.js and OpenCV.
  with caffe dnn node.js object opencv recognition tensorflow tutorial
• OpenCV 4 Node.js
  Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API, with examples for: Face Detection, Machine Learning, Deep Neural Nets, Hand Gesture Recognition, Object Tracking, Feature Matching, Image Histogram
  with api net neural nodejs object opencv recognition
• Stanford Machine Learning | Coursera
  Machine Learning course from Stanford University @ coursera
  with ai artificial cognitive computing course intelligence learning machine

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