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Data Science

32,235 Pins
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A brief exploration into the outer limits of Excel’s functionality

Excel

2 Pins
7 Best Laptops for Data Analysis You Must Know in 2023- MLTut

hardware

1 Pin
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(105) Principal Component Analysis (PCA) - YouTube

execellent

2 Pins
Step 1. Problem framing 🖼️
I hate the word newbie. If you are in a hurry, skip to the third paragraph. I always do this “catching up” thing before going straight to…
Optimizing ML Model Performance: A Guide to Algorithm Selection

projects

8 Pins
(252) PhotoPills for Beginners | All You Need to Know - YouTube

photography

3 Pins
How Has Celebrity Changed Since the 1700s? A Statistical Analysis.
The Most Popular Song on Every Album - by Chris Dalla Riva
📌 Migrant workers: Where would we be without them? —notes from the equator #43

story telling

17 Pins
https://link.medium.com/g06wtLKfeAb
For a while I wanted to write a post to compile some of the tricks I’ve learnt over the years of using rmarkdown. I also wanted other people’s input so I asked for suggestions on Mastodon. So here are the 11 tips I decided to include in no particular order. Make chunk options non-optional I use this trick to force myself to write captions to all figures: knit_plot <- knitr::knit_hooks$get("plot") knitr::knit_hooks$set(plot = function(x, options) { if (is.
RObservations #47 : Knitting .Rmd Files to Google Docs with knit2docs – bensstats

rmarkdown

9 Pins
Cormanz/smartgpt: A program that provides LLMs with the ability to complete complex tasks using plugins.
Large sequence models for software development activities – Google AI Blog
https://link.medium.com/Z6q74pyfjAb

AI

255 Pins
What worked and what didn’t work immediately, and how to get everything running.
(474) Quarto for Academics | Mine Çetinkaya-Rundel - YouTube
A new video for getting started with Quarto using R and RStudio.

quarto

26 Pins
A currated list of what exists and has been built with ML and Serverless ML; all apps and tools, no Ops or infrastructure.
Ranked: The 25 Best Islands to Visit in 2022

travel

2 Pins
CAFA 5 Protein Function Prediction | Kaggle
Benetech - Making Graphs Accessible | Kaggle
Parkinson's Freezing of Gait Prediction | Kaggle

competitions

23 Pins
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MUST SEE

1.7k Pins
MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity
PyTorch Tutorial: How to Develop Deep Learning Models with Python - MachineLearningMastery.com
Deep Learning with PyTorch (9-Day Mini-Course) - MachineLearningMastery.com

training

50 Pins
https://link.medium.com/PNdyL9zBhAb
Top 65 SQL Interview Question and Answers | SQL Training | Edureka Rewind - YouTube
Driving impact with data science communities - Posit

careers

338 Pins
An FBI surveillance plane has been circling West Baltimore - The Baltimore Banner
Clustering of Twitter data with K-Means, TF-IDF, Word2Vec, and Sentence-BERT
Clinic Planning Tool

crime

54 Pins
Alone Australia is now included in {alone} - Dan Oehm | Gradient Descending
poloclub/diffusiondb · Datasets at Hugging Face
cleanlab/cleanvision: Automatically find issues in image datasets and practice data-centric computer vision.

datasets

307 Pins
For those who just don’t Git it (Ep. 573) - Stack Overflow Blog
Git Merge – The Definitive Guide
Trending GitHub Repositories 1 | Data Science Dojo

git

111 Pins
(764) Building a basic Shiny app with Golem - Part I - YouTube
Introducing standby - Rsquared Academy Blog - Explore Discover Learn
A shiny application that enables the user to create a prototype UI, being able to drag and drop UI components before being able to save or download the equivalent R code.

shiny

1.3k Pins
APIs for Beginners 2023 - How to use an API (Full Course / Tutorial) - YouTube
In the last issue, we explored various API architectural styles, each with its unique strengths. Despite the many options, REST remains the most popular. However, its popularity doesn’t imply simplicity. REST merely defines resources and the use of HTTP methods. To master the art of crafting REST APIs, we need to follow certain guidelines to ensure that we design efficient, user-friendly APIs.
Clustering of Twitter data with K-Means, TF-IDF, Word2Vec, and Sentence-BERT

api

271 Pins
Spatial libraries are core components in many geographic information systems, spatial database systems, and spatial data science projects. These libraries provide the implementation of spatial type s...
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geospatial

536 Pins
Using linear() for better animation
Animations with Matplotlib. Animations are an interesting way of… | by Parul Pandey | Towards Data Science
seascapemodels

animation

59 Pins
ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2
https://link.medium.com/6JW9nbpgjAb
ggalt is a ggplot2 extension that adds many new ggplot geometries. In this tutorial, we'll learn how to make lollipop plots for comparing categories within our data using geom_lollipop().

visualization

2.3k Pins
PCA Point Cloud Data
You searched for pca 3d - Statistics Globe
PCA - Principal Component Analysis Essentials - Articles - STHDA

pca

186 Pins
Similar ideas popular now
Science
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Visualize The Performance Of Linear Regression With This Simple Plot
Visualize The Performance Of Linear Regression With This Simple Plot
lancedb/lance: Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
lancedb/lance: Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
Cormanz/smartgpt: A program that provides LLMs with the ability to complete complex tasks using plugins.
Cormanz/smartgpt: A program that provides LLMs with the ability to complete complex tasks using plugins.
Large sequence models for software development activities – Google AI Blog
Large sequence models for software development activities – Google AI Blog
Building Data Pipelines in Python & R - Posit
Building Data Pipelines in Python & R - Posit
Building Data Pipelines in Python & R - Posit
Building Data Pipelines in Python & R - Posit
ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2 Visualisation, Data Visualization, Data Science, Computer Science, Science Websites, Exploratory Data Analysis, Anomaly Detection, Regression Analysis, Software
ggalt: Make a Dumbbell Plot to Visualize Change in ggplot2
Statistics - regression analysis and multiple regression | Facebook
Statistics - regression analysis and multiple regression | Facebook
Statistics - regression analysis and multiple regression | Facebook
Statistics - regression analysis and multiple regression | Facebook
Statistics - regression analysis and multiple regression | Facebook
Statistics - regression analysis and multiple regression | Facebook
An FBI surveillance plane has been circling West Baltimore - The Baltimore Banner
An FBI surveillance plane has been circling West Baltimore - The Baltimore Banner
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