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Data Science & Machine Learning (@datasciencefun) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 77 677 obunachidan iborat bo'lib, Taʼlim toifasida 2 014-o'rinni va Hindiston mintaqasida 3 822-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 77 677 obunachiga ega bo‘ldi.

11 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -97 ga, so‘nggi 24 soatda esa -12 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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Jalb etish (ER): Auditoriya o‘rtacha 2.59% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.99% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 2 009 marta ko‘riladi; birinchi sutkada odatda 767 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent learning, accuracy, distribution, panda, dataset kabi asosiy mavzularga jamlangan.

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“Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 12 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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77 677

Obunachilar

-1224 soatlar

-647 kun

-9730 kun

2 009

Post ko'rishlar

~ 76724 soatlar

~ 1 03648 soatlar

2.59%

Muloqot nisbati

~ 1

Kuniga postlar

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Machine learning Cookbook with python Rehan Guha, 2021

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Time Series Forecasting using Deep Learning Ivan Gridin, 2022

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Practical Computer Vision Applications Using Deep Learning with CNNs Ahmed Fawzy Gad, 2019

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NVIDIA GTC is the most important conference for the era of AI and the metaverse. Join us online as we explore the innovations that will impact your life’s work with the power of AI, computer graphics, data science, and more. The conference will run from September 19 -22, it is fully virtual and free to attend. Let innovation inspire your next idea, or solve your biggest challenge. With talks delivered by pioneers in their fields to relatable use cases and Deep Learning Institue training where you can gain NVIDIA certification, to Watch Parties where you can engage with your peers, you can be part of what comes next at GTC. Register today.

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The Pandas Workshop.pdf28.94 MB

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Introduction to Machine Learning with Applications in Information Security Mark Stamp, 2022

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Azure Data Scientist Associate Certification Guide Andreas Botsikas, 2021

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Statistical Mechanics of Neural Networks Haiping Huang, 2021

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Data Analyst Interview Questions [Python, SQL, PowerBI] 1. Is indentation required in python? Ans: Indentation is necessary for Python. It specifies a block of code. All code within loops, classes, functions, etc is specified within an indented block. It is usually done using four space characters. If your code is not indented necessarily, it will not execute accurately and will throw errors as well. 2. What are Entities and Relationships? Ans: Entity: An entity can be a real-world object that can be easily identifiable. For example, in a college database, students, professors, workers, departments, and projects can be referred to as entities. Relationships: Relations or links between entities that have something to do with each other. For example – The employee’s table in a company’s database can be associated with the salary table in the same database. 3. What are Aggregate and Scalar functions? Ans: An aggregate function performs operations on a collection of values to return a single scalar value. Aggregate functions are often used with the GROUP BY and HAVING clauses of the SELECT statement. A scalar function returns a single value based on the input value. 4. What are Custom Visuals in Power BI? Ans: Custom Visuals are like any other visualizations, generated using Power BI. The only difference is that it develops the custom visuals using a custom SDK. The languages like JQuery and JavaScript are used to create custom visuals in Power BI ENJOY LEARNING 👍👍

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Efficient Methods for DL.pdf9.72 MB

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Useful Pandas🐼 method you should definitely know ✅ head() ✅ info() ✅ fillna() ✅ melt() ✅ pivot() ✅ query() ✅ merge() ✅ assign() ✅ groupby() ✅ describe() ✅ sample() ✅ replace() ✅ rename()

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To become a Machine Learning Engineer: • Python • numpy, pandas, matplotlib, Scikit-Learn • TensorFlow or PyTorch • Jupyter, Colab • Analysis > Code • 99%: Foundational algorithms • 1%: Other algorithms • Solve problems ← This is key • Teaching = 2 × Learning • Have fun!

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