Data Science & Machine Learning

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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

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Tarmoq:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert Hindiston4 270 Taʼlim2 110...

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Data Science & Machine Learning (@datasciencefun) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 75 821 obunachidan iborat bo'lib, Taʼlim toifasida 2 110-o'rinni va Hindiston mintaqasida 4 270-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 75 821 obunachiga ega bo‘ldi.

19 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 855 ga, so‘nggi 24 soatda esa 10 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 3.21% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.26% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 2 431 marta ko‘riladi; birinchi sutkada odatda 953 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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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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 20 Iyun, 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.

75 821

Obunachilar

+1024 soatlar

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+85530 kunlar

2 431

Post ko'rishlar

~ 95324 soatlar

~ 1 20148 soatlar

3.21%

Muloqot nisbati

~ 2

Kuniga postlar

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Postlar arxiv

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"📊 Data Analysis Tip: Have you ever wondered how outliers can impact your analysis? Outliers are data points that significantly differ from the rest of your dataset. They can skew results and affect the accuracy of your insights. Tip: Before removing outliers, it's essential to understand their origin. Are they errors, natural variations, or something else? Removing or adjusting them without proper justification can lead to biased results.

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🔰 Learning Python for Data Analysis and Visualization ⏱ 21 Hours 📦 110 Lessons Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video! Taught By: Jose Portilla Download Full Course: https://t.me/pythonanalyst/26 Download All Courses: https://t.me/DataAnalystInterview

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Python Automation Cookbook Jaime Buelta, 2020

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R for Data Science.pdf19.76 MB

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❇️ Join my team, I'll tell you how to get the algorithm right now! ▶️ Subscribe ✅ soon while my private channel is available! Last call!👇👇👇👇👇👇👇👇👇👇 👉 https://t.me/+Sq4_8xiYFFQ3MGMx 👉 https://t.me/+Sq4_8xiYFFQ3MGMx

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1. What are the different subsets of SQL? Data Definition Language (DDL) – It allows you to perform various operations on the database such as CREATE, ALTER, and DELETE objects. Data Manipulation Language(DML) – It allows you to access and manipulate data. It helps you to insert, update, delete and retrieve data from the database. Data Control Language(DCL) – It allows you to control access to the database. Example – Grant, Revoke access permissions. 2. List the different types of relationships in SQL. There are different types of relations in the database: One-to-One – This is a connection between two tables in which each record in one table corresponds to the maximum of one record in the other. One-to-Many and Many-to-One – This is the most frequent connection, in which a record in one table is linked to several records in another. Many-to-Many – This is used when defining a relationship that requires several instances on each sides. Self-Referencing Relationships – When a table has to declare a connection with itself, this is the method to employ. 3. How to create empty tables with the same structure as another table? To create empty tables: Using the INTO operator to fetch the records of one table into a new table while setting a WHERE clause to false for all entries, it is possible to create empty tables with the same structure. As a result, SQL creates a new table with a duplicate structure to accept the fetched entries, but nothing is stored into the new table since the WHERE clause is active. 4. What is Normalization and what are the advantages of it? Normalization in SQL is the process of organizing data to avoid duplication and redundancy. Some of the advantages are: Better Database organization More Tables with smaller rows Efficient data access Greater Flexibility for Queries Quickly find the information Easier to implement Security

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Friendly Introduction to Numerical Analysis Brian Bradie, 2006

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Siemens is hiring Data Analyst/ Data Engineer! https://t.me/getjobss/1445

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