Dimensionality Reduction explained in easy way! Must Know Machine Learning topics!
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YouTubeKeerti Purswani
Dimensionality Reduction explained in easy way! Must Know Machine Learning topics!
If you appreciate the hard work or want to be consistent with the course, Please 𝐬𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 - https://www.youtube.com/@KeertiPurswani 𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐚𝐧𝐝 𝐞𝐧𝐫𝐨𝐥𝐥 𝐟𝐨𝐫 𝐨𝐮𝐫 𝐋𝐈𝐕𝐄 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 ...
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AI | Machine Learning | Tech on Instagram: "T-SNE (t-Distributed Stochastic Neighbor Embedding) is a dimensionality reduction technique that is remarkable at handling non-linear data by preserving the local structure of high-dimensional datasets in lower-dimensional spaces. For instance, given a spiral-like 3D dataset, t-SNE has no problem reducing it to lower dimensions, while other dimensionality reduction techniques such as PCA (principal component analysis) that have linear implementations s
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