tnp1618's repositories

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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awesome-awesomeness

A curated list of awesome awesomeness

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awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

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awesome-python-in-education

A curated list about Python in Education :snake: :mortar_board:

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awesome-R

A curated list of awesome R packages, frameworks and software.

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climate-change-data

:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change

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climatechange_ai

Applying machine learning to address the problems of climate change

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geocompr

Open source book: Geocomputation with R

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github-cheat-sheet

A list of cool features of Git and GitHub.

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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machine-learning-with-python-cookbook-notes

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

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mapview

Interactive viewing of spatial data in R

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MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

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Open-Grants-Program

Web3 Foundation Open Grants Program

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PhenomeForce

This group is a platform imagined as an interactive “ metabolic network ”, where the nodes represent the different areas of plant phenomics applications, along with their sub-communities of experts. The main purpose is to provide all the knowledge essential to plan and start your own project of plant phenomics, making phenomics easy for everybody.

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python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

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raster-vision

An open source framework for deep learning on satellite and aerial imagery.

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restoration-mapper

Image segmentations of trees outside forest

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rmarkdown-cookbook

R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown.

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Rpollution

R functions to work with air pollution data

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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scikit-learn

scikit-learn: machine learning in Python

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scikit-learn-mooc

scikit-learn-mooc

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stanford-tensorflow-tutorials

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

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stat_rethink

Collection of notes for the "Statistical Rethinking" book

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tidytuesday

Official repo for the #tidytuesday project

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tsfresh

Automatic extraction of relevant features from time series:

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