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advanced-machine-learning icon advanced-machine-learning

It covers deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Touch base with the real-world problems. By National Research University Higher School of Economics

advanced-shiny icon advanced-shiny

Shiny tips & tricks for improving your apps and solving common problems

afr-soil-prediction icon afr-soil-prediction

Advances in rapid, low cost analysis of soil samples using infrared spectroscopy, georeferencing of soil samples, and greater availability of earth remote sensing data provide new opportunities for predicting soil functional properties at unsampled locations. Soil functional properties are those properties related to a soil’s capacity to support essential ecosystem services such as primary productivity, nutrient and water retention, and resistance to soil erosion. Digital mapping of soil functional properties, especially in data sparse regions such as Africa, is important for planning sustainable agricultural intensification and natural resources management.

autism-prediction icon autism-prediction

It's a classification model that predict whether an individual will suffer from autism in future or not

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

close-format-nemesis icon close-format-nemesis

This repository stores the plan for my predictive text app final project. A requirement for the SwiftKey-Coursera Capstone project. This is a work in progress.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-science-capstone-1 icon data-science-capstone-1

A predictive model which returns the most likely word to follow the current word. The vision is to put this into a text app such as SwiftKey, who not incidentally sponsored this capstone session. Thanks SwiftKey!

data-science-ipython-notebooks icon data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dss_product icon dss_product

Course Project for Data Science Products Course in the JHU Data Science Specialization through Coursera

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