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Data science/ML/AI

Data science/ML/AI

Kanalga Telegramโ€™da oโ€˜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 ๐Ÿ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

Ko'proq ko'rsatish

๐Ÿ“ˆ Telegram kanali Data science/ML/AI analitikasi

Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 674 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 9 377-o'rinni va Hindiston mintaqasida 31 635-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 13 674 obunachiga ega boโ€˜ldi.

09 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 155 ga, soโ€˜nggi 24 soatda esa 5 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 8.03% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.25% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 1 098 marta koโ€˜riladi; birinchi sutkada odatda 308 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 5 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent panda, learning, row, api, ethic kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€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 ๐Ÿ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...โ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 10 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

13 674
Obunachilar
+524 soatlar
+197 kunlar
+15530 kunlar
Postlar arxiv
Modern Data Scientist What the industry needs? Rating โญ๏ธ: 4.5 out 5 Students ๐Ÿ‘จโ€๐ŸŽ“ : 3158 Duration โฐ : 1hr 40 min of on-demand video Created by ๐Ÿ‘จโ€๐Ÿซ: Prof Poornachandra Sarang, Ph.D. ๐Ÿ”— Course Link #datascience #programming โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms. โœ… Free Online Course ๐Ÿƒโ€โ™‚๏ธ Self paced Duration โฐ : 11-12 hours long Source: Edureka ๐Ÿ”— COURSE LINK #datascience โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

Virgilio Data Science This repository contains articles, GitHub repos and Kaggle kernels which provides data science and machine learning projects with code. Creator: virgili0 Stars โญ๏ธ: 13.9k Forked By: 2.5k https://github.com/virgili0/Virgilio #datascience โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Data Science Advanced Analytics Interview Prep. Kit - 182+ A walkthrough from the essentials of 182+ data science interview questions from linear regression to advance analytics Rating โญ๏ธ: 4.6 out 5 Students ๐Ÿ‘จโ€๐ŸŽ“ : 2676 Duration โฐ : 1hr 2min of on-demand video Created by ๐Ÿ‘จโ€๐Ÿซ: Rupak Bob Roy ๐Ÿ”— Course Link #datascience #dataanalytics #programming โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

8 Great Data Science Books For Beginners In the past few years public interest in data science has surged. What had been a fairly esoteric field is now a common topic in the news, in politics and international law, and in our social media feeds. Data literacy is becoming a highly desired skill in every industry, and consumers enter data points into massive business intelligence systems every day. Whether you just want to stay informed in the data craze or youโ€™re looking to kickstart your data science or data literacy journey, this article features a list of books that can help newcomers navigate the world of data science. 1. โ€œThe Data Science Handbook 2. โ€œDoing Data Science: Straight Talk from the Frontlineโ€ by Cathy O'Neil and Rachel Schutt 3. โ€œNumsense! Data Science for the Layman: No Math Addedโ€ by Annalyn Ng and Kenneth Soo 4. โ€œThe Art of Data Scienceโ€ by Roger D. Peng and Elizabeth Matsui 5. โ€œData Science For Dummiesโ€ by Lillian Pierson 6. โ€œBig Data For Dummiesโ€ by Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman 7. โ€œData Jujitsu: The Art of Turning Data into Productโ€ by DJ Patil 8. โ€œBig Data: A Revolution That Will Transform How We Live, Work, and Thinkโ€ by Viktor Mayer-Schรถnberger and Kenneth Cukier ๐Ÿ”— Read More

Learning Data Science: Understanding the Basics Many of the people who work on data science teams won't be data scientists. They'll be the managers and associates who want to gain real business value from your organization's data. These team members need to understand the language of data science so they can ask better questions, understand processes, and help effectively lead their teams and organizations to making better data-driven decisions. This course is an introduction to data science for people who aren't planning on being full-time data scientists. It introduces big data concepts, tools, and techniques, including gathering and sorting data, working with databases, understanding structured and unstructured data types, and applying statistical analysis. Business coach and author Doug Rose helps you speak the language of data science so that you can guide your organization through the opportunities and limitations in this dramatically growing field. โœ… Free Online Course ๐Ÿƒโ€โ™‚๏ธ Self paced Duration โฐ : 1-2 hours long 4 quizzes Source: linkedin learning ๐Ÿ”— COURSE LINK #datascience โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

Data Science Platform Market Size
Data Science Platform Market Size

Data Science Full Course 2024 | Data Science Course For Beginners | Learn Data Science | This Data Science Course 2024 covers all the important skill sets required to get you a job as a Data Scientist! This particular Data Science Course For Beginners has been taught by our top industry experts associated with companies like Google, Meta, and Microsoft. So, stay until the end of this video, you will understand Data Science from Fundamentals To Solving Basic Data Science Problems Using Machine Learning Algorithms. With this Data Science Course 2024, we will give you the Fundamental idea of what is data science, What Datasets are all about, Basic Machine Learning Algorithms, and how you can solve real-world problems like heart disease detection using Data science. We will also help you with the trending project idea which is creating a Chatbot of your own like ChatGPT using data science. We will also highlight some of the important data science interview questions. โœ… Free Online Course ๐Ÿƒโ€โ™‚๏ธ Self paced Duration โฐ : 11-12 hours long Source: Intellipaat ๐Ÿ”— COURSE LINK #datascience โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

DATA SCIENCE :THEORIES , MODELS , ALGORITHMS , AND ANALYTICS by S A N J I V R A N J A N D A S ๐Ÿ“„ 462 pages ๐Ÿ”— Read Online #datascience โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

Data Science BootCamp - From Analysing Data To Creating ML Models This free Data Science Bootcamp will help you get started on the roadmap towards a career as top Data Scientist. Master the basics of Python, Tableau, ML, AI and more. โœ… Free Online Course ๐Ÿƒโ€โ™‚๏ธ Self paced Duration โฐ : 6 weeks long Source: geeksforgeeks ๐Ÿ”— COURSE LINK #datascience โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

Become a Citizen Data Scientist with HyperSense-AI Studio Use R Programming for Scientific Research Rating โญ๏ธ: 4.6 out 5 Students ๐Ÿ‘จโ€๐ŸŽ“ : 3139 Duration โฐ : 1.5 hours on-demand video Created by ๐Ÿ‘จโ€๐Ÿซ: Learning Hypersense ๐Ÿ”— COURSE LINK #datascience โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

Data Science Projects Collection of data science projects in Python Creator: Vaibhav Singh Stars โญ๏ธ: 1.5k Forked By: 406 https://github.com/veb-101/Data-Science-Projects #datascience โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

7 Categorical Data Encoding Techniques
7 Categorical Data Encoding Techniques

Checklist to become a Data Analyst
Checklist to become a Data Analyst

10 Best Practices for Data Science The main bottleneck in data science are no longer compute power or sophisticated algorithm
10 Best Practices for Data Science The main bottleneck in data science are no longer compute power or sophisticated algorithms, but craftsmanship, communication, and process. And that the aim is to not only produce work that is accurate and correct, but also can be understood, work that others can collaborate on. Rule 1: Start Organized, Stay Organized Rule 2: Everything Comes from Somewhere, and the Raw Data is Immutable Rule 3: Version Control is Basic Professionalism Rule 4: Notebooks are for Exploration, Source Files are for Repetition Rule 5: Tests and Sanity Checks Prevent Catastrophes Rule 6: Fail Loudly, Fail Quickly Rule 7: Project Runs are Fully Automated from Raw Data to Final Outputs Rule 8: Important Parameters are Extracted and Centralized Rule 9: Project Runs are Verbose by Default and Result in Tangible Artifacts Rule 10: Start with the Simplest Possible End-to-End Pipeline Lessons ๐Ÿ”— Read More #datascience โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

How To Use R Programming for Research Use R Programming for Scientific Research Rating โญ๏ธ: 4.5 out 5 Students ๐Ÿ‘จโ€๐ŸŽ“ : 19,897 Duration โฐ : 1.5 hours on-demand video ๐Ÿ‘ฉโ€๐Ÿ’ป 2 coding exercises โฌ‡๏ธ 29 downloadable resources Created by ๐Ÿ‘จโ€๐Ÿซ: Prof Asad Rasul ๐Ÿ”— COURSE LINK โš ๏ธ Its free for first 1000 enrollments only! #R_Programming โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @datascience_bds for more๐Ÿ‘ˆ

Practical Deep Learning For Coders This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems. ๐Ÿ†“ Free Online Course Ratingโญ๏ธ: 4.1 out 5 Duration โฐ: 7 weeks ๐Ÿ’ป Lecture Videos ๐Ÿƒโ€โ™‚๏ธ Self paced Teacher ๐Ÿ‘จโ€๐Ÿซ : Prof. Jeremy Howard ๐Ÿ”— Course Link #programming #deeplearning โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž–โž– ๐Ÿ‘‰Join @bigdataspecialist for more๐Ÿ‘ˆ

Big Data
Big Data

Building the machine learning model
Building the machine learning model

Applications of Deep Learning
Applications of Deep Learning