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Data science/ML/AI

Data science/ML/AI

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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

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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 9 088-o'rinni va Hindiston mintaqasida 28 116-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.

29 Oktabr, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 79 ga, soβ€˜nggi 24 soatda esa -4 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oβ€˜rtacha 9.66% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.14% ini tashkil etuvchi reaksiyalarni toβ€˜playdi.
  • Post qamrovi: Har bir post oβ€˜rtacha 1 358 marta koβ€˜riladi; birinchi sutkada odatda 301 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 30 Oktabr, 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
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Postlar arxiv
Modern Data Scientist What the industry needs? Rating ⭐️: 4.5 out 5 Students πŸ‘¨β€πŸŽ“ : 3158 Duration ⏰ : 1hr 40 min of on-demand video Created by πŸ‘¨β€πŸ«: Prof Poornachandra Sarang, Ph.D. πŸ”— Course Link #datascience #programming βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘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. βœ… Free Online Course πŸƒβ€β™‚οΈ Self paced Duration ⏰ : 11-12 hours long Source: Edureka πŸ”— COURSE LINK #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘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 ⭐️: 13.9k Forked By: 2.5k https://github.com/virgili0/Virgilio #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– 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 ⭐️: 4.6 out 5 Students πŸ‘¨β€πŸŽ“ : 2676 Duration ⏰ : 1hr 2min of on-demand video Created by πŸ‘¨β€πŸ«: Rupak Bob Roy πŸ”— Course Link #datascience #dataanalytics #programming βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘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 you’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. β€œThe Data Science Handbook 2. β€œDoing Data Science: Straight Talk from the Frontline” by Cathy O'Neil and Rachel Schutt 3. β€œNumsense! Data Science for the Layman: No Math Added” by Annalyn Ng and Kenneth Soo 4. β€œThe Art of Data Science” by Roger D. Peng and Elizabeth Matsui 5. β€œData Science For Dummies” by Lillian Pierson 6. β€œBig Data For Dummies” by Judith Hurwitz, Alan Nugent, Fern Halper, and Marcia Kaufman 7. β€œData Jujitsu: The Art of Turning Data into Product” by DJ Patil 8. β€œBig Data: A Revolution That Will Transform How We Live, Work, and Think” by Viktor Mayer-SchΓΆnberger and Kenneth Cukier πŸ”— 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. βœ… Free Online Course πŸƒβ€β™‚οΈ Self paced Duration ⏰ : 1-2 hours long 4 quizzes Source: linkedin learning πŸ”— COURSE LINK #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘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. βœ… Free Online Course πŸƒβ€β™‚οΈ Self paced Duration ⏰ : 11-12 hours long Source: Intellipaat πŸ”— COURSE LINK #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘ˆ

DATA SCIENCE :THEORIES , MODELS , ALGORITHMS , AND ANALYTICS by S A N J I V R A N J A N D A S πŸ“„ 462 pages πŸ”— Read Online #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘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. βœ… Free Online Course πŸƒβ€β™‚οΈ Self paced Duration ⏰ : 6 weeks long Source: geeksforgeeks πŸ”— COURSE LINK #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘ˆ

Become a Citizen Data Scientist with HyperSense-AI Studio Use R Programming for Scientific Research Rating ⭐️: 4.6 out 5 Students πŸ‘¨β€πŸŽ“ : 3139 Duration ⏰ : 1.5 hours on-demand video Created by πŸ‘¨β€πŸ«: Learning Hypersense πŸ”— COURSE LINK #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘ˆ

Data Science Projects Collection of data science projects in Python Creator: Vaibhav Singh Stars ⭐️: 1.5k Forked By: 406 https://github.com/veb-101/Data-Science-Projects #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– 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 πŸ”— Read More #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘ˆ

How To Use R Programming for Research Use R Programming for Scientific Research Rating ⭐️: 4.5 out 5 Students πŸ‘¨β€πŸŽ“ : 19,897 Duration ⏰ : 1.5 hours on-demand video πŸ‘©β€πŸ’» 2 coding exercises ⬇️ 29 downloadable resources Created by πŸ‘¨β€πŸ«: Prof Asad Rasul πŸ”— COURSE LINK ⚠️ Its free for first 1000 enrollments only! #R_Programming βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘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. πŸ†“ Free Online Course Rating⭐️: 4.1 out 5 Duration ⏰: 7 weeks πŸ’» Lecture Videos πŸƒβ€β™‚οΈ Self paced Teacher πŸ‘¨β€πŸ« : Prof. Jeremy Howard πŸ”— Course Link #programming #deeplearning βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Big Data
Big Data

Building the machine learning model
Building the machine learning model

Applications of Deep Learning
Applications of Deep Learning