uz
Feedback

Firibgarlarga uchmang! Telemetrio bunday kanallarni topadi va belgilaydi πŸ‘‰ Belgini koβ€˜rmoqchi boβ€˜lsangiz, obuna boβ€˜ling

Data science/ML/AI

Data science/ML/AI

Kanalga Telegram’da oβ€˜tish

Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

Ko'proq ko'rsatish

πŸ“ˆ Telegram kanali Data science/ML/AI analitikasi

Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 053 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 9 084-o'rinni va Hindiston mintaqasida 28 047-o'rinni egallagan.

πŸ“Š Auditoriya koβ€˜rsatkichlari va dinamika

Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβ€˜sib, 14 053 obunachiga ega boβ€˜ldi.

31 Oktabr, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 57 ga, soβ€˜nggi 24 soatda esa 1 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oβ€˜rtacha 9.70% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.13% ini tashkil etuvchi reaksiyalarni toβ€˜playdi.
  • Post qamrovi: Har bir post oβ€˜rtacha 1 363 marta koβ€˜riladi; birinchi sutkada odatda 299 ta koβ€˜rish yigβ€˜iladi.
  • Reaksiyalar va oβ€˜zaro ta’sir: Auditoriya faol: har bir postga oβ€˜rtacha 4 ta reaksiya keladi.
  • Tematik yoβ€˜nalishlar: Kontent panda, learning, row, api, ethic kabi asosiy mavzularga jamlangan.

πŸ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
β€œData science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 01 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini koβ€˜rsatadi.

14 053
Obunachilar
+124 soatlar
-37 kun
+5730 kun
Postlar arxiv
class Coding game TONight: def init(Write code, Have fun, Earn crypto): self.Write code = Write code self.Have fun = Have fun
class Coding game TONight: def init(Write code, Have fun, Earn crypto): self.Write code = Write code self.Have fun = Have fun self.Earn crypto = Earn crypto print(You woke up on January 19, 2038 and realized that the world has changed a lot. Gaming NPC need the help of a person who knows Programming language and they will reward with crypto TON) Follow the link and start the game right now: πŸ‘‰ https://cutt.ly/S7eUTuM

Data Science Pre Requisite Want to learn Data Science? Start by mastering these: 1.Basic knowledge of statistics: concepts li
Data Science Pre Requisite Want to learn Data Science? Start by mastering these: 1.Basic knowledge of statistics: concepts like mean, median, mode, variance, and standard deviation is crucial to conducting data analysis. 2.Programming skills: be comfortable with at least one programming language. Python and R are widely used in data science, but you can also learn other languages like SQL, MATLAB, or Java. 3.Mathematics: understanding of linear algebra, calculus, and probability theory is essential as they are used in many data science models. 4.Data manipulation: be familiar with data cleaning to remove noise, outliers, and missing values, and data preprocessing for transformation, scaling, and normalization. 5.Data visualization: represent data visually using charts, graphs, and plots is important to communicate insights effectively. 6.Domain knowledge: Having knowledge about the industry or domain you are working in is useful to make informed decisions and design relevant models. Happy Learning πŸ˜ƒ

😱Twitter Recommendation Algorithm: Source Code🀩 Twitter knows you better than you thinkπŸ˜‰. Its recommendation algorithm analyzes your every move on the platform to curate a feed that is tailor-made for you. From trending topics to tweets from your favorite accounts, it's all about what you want to see. With the power of machine learning, Twitter's recommendation algorithm is always evolving, ensuring that you never miss out on the latest buzz😎. Here's the source code to the recommendation algorithm Github⭐️: Link Looking for an introduction on how the algorithm works😎 SEARCH NO MORE!! #recommendation_engine #algorithm #twitter #machine_learning βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

photo content

πŸ“š Free Book Multimodal Deep Learning 2023 This book is the result of a student seminar for Master Statistics and Master Data Science at the LMU in the summer semester 2022 πŸ˜‡ Book πŸ‘ŒGithub 🀩Reading list βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Repost from Data Visualization
The Companies holding the Most AI Patents
The Companies holding the Most AI Patents

photo content

Microsoft incorporates GPT4 into Github Copilot and announces Copilot X! GitHub Copilot is a cloud-based artificial intelligence tool developed by GitHub and OpenAI to assist users of πŸ”Ή Visual Studio πŸ”Ή Visual Studio Code and πŸ”Ή JetBrains IDEs by autocompleting code. GitHub Copilot uses context from comments and code and immediately suggests individual lines and whole functions. Now when Microsoft incorporated GPT4, it's much stronger. Here are examples what you can do: πŸ”Έtell your CopilotX to write unit test functions for selected code. πŸ”Έask CopilotX to explain a piece of code πŸ”Έget descriptions for your code, commits and pull requests πŸ”Έlet CopilotX write bash commands instead of you in your CLI

FREE PowerBI COURSES Power BI series by Alex The Analyst https://t.co/sjGY4POLkx Power BI beginner to Professional series  byLearnit Training https://t.co/NINlfOugob Hands-On Power BI Tutorial Beginner to Pro by Pragmatic Works https://t.co/3JuTKsigiI How To Build A Dashboard in Power BI by Ali Ahmad https://t.co/ZTIzbawyHv Customer Overview Dashboard in Power BI by Ali Ahmad https://t.co/npK7YXXHSf βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

One of our subscribers is doing a survey about Big Data Systems and asked me to share it here. That is a part of her master studies and she said that unless she got 60 more participants in her survey, she is not going to complete the studies. I didn't want to bother you with this at first, but you know how much I care about education. So here it is: http://bit.ly/3m79xcl She said that you don't have to put your real mail or company name, as this is completely anonymous survey. It takes 15 minutes. For more info her contact is: @Aishwharya

Hey folks πŸ‘‹, Most of you know that we organized our Programming Quiz League where you could compete with other members of our community. Finding sponsors which would buy valuable prizes for our winners πŸ† is going very slow 😞 so I will probably buy modest prizes by myself. If you have any suggestions what could i buy to winners please write in comments or send me a DM. That said, I also decided to give a chance to people who maybe didn't have time or didn't know about our quiz league. Anyone who missed some quiz round can take it now. Both old winners and potential new winner would get prizes 🎁 Here is a list of all 10 quiz rounds: 1st round General Programming Knowledge 2nd round Data Structures (beginner level) 3rd round Java Quiz 4th round Database Management System 5th round Python Quiz 6th round HTML Quiz 7th round Javascript Quiz 8th round Data structures (advanced level) 9th round Data Science 10th round C/C++/OOP After 10-15 days I will update results in this sheet. PS. I will send this message to few or our other channels so I make sure everybody see it, I hope you don't mind. Good luck 😊

photo content

πŸ“² Forecasting Future World Events with Neural Networks Github: https://github.com/andyzoujm/autocast Paper: https://arxiv.org/abs/2206.15474v1 Dataset: https://people.eecs.berkeley.edu/~hendrycks/intervalqa.tar.gz βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

SQL Window Functions.pdf1.64 KB

photo content

YouTube Playlists to Learn Machine Learning and Deep Learning. YouTube Playlists by Krish Naik ---> Machine Learning Deep Learning YouTube Playlists by Codebasics ---> Machine Learning Deep Learning YouTube Playlists by Andrew Ng ---> Machine Learning Deep Learning YouTube Playlists by Sentdex ---> Machine Learning Deep Learning YouTube Playlists by Simplilearn ---> Machine Learning Deep Learning YouTube Playlists by edureka! ---> Machine Learning Deep Learning YouTube Playlists by FreeCodeCamp ---> ML+DL βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

photo content

The 5 Best Places To Host Your Data Science Portfolio https://www.kdnuggets.com/2022/07/5-best-places-host-data-science-portfolio.html βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data Science resources.pdf2.32 KB

Do you enjoy reading this channel? Perhaps you have thought about placing ads on it? To do this, follow three simple steps: 1) Sign up: https://telega.io/c/datascience_bds 2) Top up the balance in a convenient way 3) Create an advertising post If the topic of your post fits our channel, we will publish it with pleasure.