NiiAmoo's Stars
freeCodeCamp/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
Chalarangelo/30-seconds-of-code
Short code snippets for all your development needs
zhiwehu/Python-programming-exercises
100+ Python challenging programming exercises
datasciencemasters/go
The Open Source Data Science Masters
fastai/fastbook
The fastai book, published as Jupyter Notebooks
ossu/data-science
📊 Path to a free self-taught education in Data Science!
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
cjhutto/vaderSentiment
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
llSourcell/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
llSourcell/Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
rstudio/shiny-examples
shubhomoydas/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
erikaduan/r_tips
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning
topepo/FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
XanaduAI/quantum-neural-networks
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.
rstudio-education/shiny.rstudio.com-tutorial
Slides and exercises for the video tutorial at https://shiny.rstudio.com/tutorial/
Appsilon/shiny.fluent
Microsoft's Fluent UI for Shiny apps
DTrimarchi10/confusion_matrix
Contains cf_matrix.py file with a function to make a pretty visualization of a confusion matrix.
jkaupp/tidytuesdays
Entries for tidytuesday
PacktPublishing/Hands-On-Artificial-Intelligence-for-Banking
Hands-On Artificial Intelligence for Banking, published by Packt
jhwang1992/network-visualization
Python network visualization app using NetworkX, Plotly, Dash
djnavarro/jasmines
miscellaneous functions for Danielle's art
rstudio/keras-customer-churn
Customer Churn Shiny Application
ASSAZZIN-01/UmojaHack-Africa-2021
vivekkalyanarangan30/searchengine
How to build an end to end search engine using elasticsearch and angularjs
saif2020/UmojaHack-Africa-2021-1th-Place
Rank 1/463 Financial Resilience Challenge
htinkyawaye/tidytuesday
TidyTuesday Entries
PyRPy/TimeSeries_R
Trend prediction, anomaly detection, perturbation, noises and signals