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applied-deep-learning

Applied Deep Learning Course

bible_databases

Bible versions and cross-reference databases.

contributing

How to make a clean pull request on Github

makinglyst

A peek into the tech and design at Lyst

mon_site_web

mongodb-sample-dataset

sample dataset used in mongodb atlas cluster for local testing purpose

pandas-tutorial

Material for the pandas tutorial at EuroScipy 2016

python-scripts-repo-on-data-science

Data Science, Visualisations, and Machine Learning Cookbook

recurrent-neural-network-example

Basic text generation and sentiment analysis - numpy-keras

scikit_supervised_learning

sklearn supervised_ python code

temajozias.github.io

udacity-dataanalystnd-p1-investigate-a-dataset

Udacity-DataAnalystND-P1-Investigate-a-Dataset TMDb movie data This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. In this project, I will analyze a dataset and then communicate findings about it. I will use the Python libraries NumPy, pandas, and Matplotlib.

udacity-dataanalystnd-p2-wrangle-and-analyze-data

Udacity-DataAnalystND-P2-Wrangle-and-Analyze-Data The dataset that you will be wrangling (and analyzing and visualizing) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs.

udacity-dataanalystnd-p3-communicate-data-findings

Udacity-DataAnalystND-P3-Communicate-Data-Findings Choose a dataset, either your own or a Udacity-curated dataset, and perform an exploratory data analysis using Python. Then, create a presentation with explanatory plots that conveys your findings.

undp-accelerator-labs-network

UNDP Accelerator Labs Network Help us to showcase the value of grassroots innovation! We need easy to understand, yet powerful visualizations of the energy solutions we discovered that help us advocate for a more sustainable future. Be bold and creative. More at https://www.vizforsocialgood.com/join-a-project/2022/9/15/undp-accelerator-labs-network