Avi Kumar Talaviya(@avikumart_) 's Twitter Profile Photo

Must learn machine learning algorithms for data science

1. Linear regression
2. Logistics regression
3. Decision trees
4. K nearest neighbors
5. SVM
6. Kmeans
7. PCA
8. Random Forests
9. Gradient-boosted trees
10. XGBoost

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Nikita Sanjay Shiledarbaxi(@NShiledarbaxi) 's Twitter Profile Photo

Implement k-Means in a environment using Intel® oneAPI Data Analytics Library (oneDAL), a part of the Intel® AI Analytics Toolkit (AI Kit).
community.intel.com/t5/Blogs/Tech-…

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Selena Sun(@selenxsun) 's Twitter Profile Photo

got ARManda to paint! 🎨 pixelate an image to brush size -> select colors w kmeans -> generate brushstrokes -> convert to robot commands -> paint 🖌️ dm me if you want a robot art commission 👨‍🎨

with my cracked friend Hanna Yip (welcome to twitter!)

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Areen 👽(@dropoutsworld) 's Twitter Profile Photo

ML Day 47:
- KMeans Clustering Algorithm
- Geometric Intuition
- Elbow method
- WCSS
- Implemented whole algo from scratch
📈 105/126

ML Day 47:
- KMeans Clustering Algorithm 
- Geometric Intuition 
- Elbow method 
-  WCSS
- Implemented whole algo from scratch
📈 105/126
#MachineLearning #100DaysOfCode
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Ebuka is building ML models 🦙🦙(@ebukagaus) 's Twitter Profile Photo

Tried to convert a previous project of mine from its jupyter notebook to a web app using Streamlit.
This project implements Scipy, Pandas, Matplotlib, Sklearn and KMeans
There are some constraints to this, the web app only allows an image upload of less than 1mb

Tried to convert a previous project of mine from its jupyter notebook to a web app using Streamlit. 
This project implements Scipy, Pandas, Matplotlib, Sklearn and KMeans
There are some constraints to this, the web app only allows an image upload of less than 1mb
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نجلاء..(@passionategirlN) 's Twitter Profile Photo

مقارنة بين خوارزميتين للتجميع: خوارزمية KMeans وخوارزمية Gaussian Mixture Model. خوارزمية KMeans بسيطة ومفيدة لكن عيبها ان لها قيود كثيرة مثلاً أنها ما تحسب تغاير التجمعات ، طيب وش نقصد بتغاير التجمعات 🧐تغاير التجمعات بأختصار، أو الاختلاف في تباين التجمعات (Cluster Covariance)،

مقارنة بين خوارزميتين للتجميع: خوارزمية KMeans وخوارزمية Gaussian Mixture Model. خوارزمية KMeans بسيطة ومفيدة لكن عيبها ان لها قيود كثيرة مثلاً أنها ما تحسب تغاير التجمعات ، طيب وش نقصد بتغاير التجمعات 🧐تغاير التجمعات بأختصار، أو الاختلاف في تباين التجمعات (Cluster Covariance)،
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mangoboy 🏳️‍🌈🇺🇦🇺🇸🥺🍅(@Mr080guy) 's Twitter Profile Photo

i just implemented the kmeans clustering algorithm and applied it to the diabetes dataset wow (k=3, PCA used to reduce dimensionality of dataset to 2)

i just implemented the kmeans clustering algorithm and applied it to the diabetes dataset wow (k=3, PCA used to reduce dimensionality of dataset to 2)
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Jaume Antolí Plaza(@jantolip) 's Twitter Profile Photo

¿Va a seguir subiendo la bolsa?

No lo sabe nadie pero según KMeans, mientras la tendencia no cambie de color...

¿Va a seguir subiendo la bolsa?

No lo sabe nadie pero según KMeans, mientras la tendencia no cambie de color...
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Danny Groves(@DrDanobi) 's Twitter Profile Photo

Financial ML is not all about price prediction

IMO, there is power in:
• Clustering to find like assets (using KMeans)
• Clustering to find similar trades

Also - optimisation methods for strategy tuning :
• Genetic algos
• Bayesian opt
• Particle swarm optimisation

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Joachim Schork(@JoachimSchork) 's Twitter Profile Photo

Principal Component Analysis (PCA) reduces the dimensionality of your data, enhancing the efficiency and accuracy of K-means clustering by focusing on the most informative features.

More info in my upcoming course: buff.ly/3Itd7Fr

Principal Component Analysis (PCA) reduces the dimensionality of your data, enhancing the efficiency and accuracy of K-means clustering by focusing on the most informative features.

More info in my upcoming course: buff.ly/3Itd7Fr

#PCA #KMeans #DataAnalysis #rstats
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