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Using T-SNE in Python to Visualize High-Dimensional Data Sets | Built In

Using T-SNE in Python to Visualize High-Dimensional Data Sets | Built In

T-distributed stochastic neighbor embedding (t-SNE) is a non-linear dimensionality reduction technique used to visualize high-dimensional data in a lower-dimensional (2D or 3D) space. Here’s how to apply it in Python.

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Abhisek Sahu on Instagram: "Finally Found Best LeetCode SQL Question Answer Prep Guide . . Save and Share !! . Follow & comment 'leetcode' to get this this sql data analysis Data analyst guide . Tag Someone who Need this !! . 👉Around 2–3 hours per day , that covers SQL, Excel, Power BI, Python (Pandas, NumPy), Data Visualization, Statistics, Projects, and Portfolio building. 👉 Tools : SQL • Excel • Power BI • Python • Pandas • NumPy • Matplotlib • Seaborn • Plotly • GitHub . . [

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📍Learning to code and becoming a data scientist without a background in computer science or mathematics is absolutely possible, but it will require dedication, time, and a structured approach. ✨👌🏻 🖐🏻Here’s a step-by-step guide to help you get started: 1. Start with the Basics: - Begin by learning the fundamentals of programming. Choose a beginner-friendly programming language like Python, which is widely used in data science. - Online platforms like Codecademy, Coursera, and Khan Academy of

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