uz
Feedback
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
Programming, data science, ML - free courses by Big Data SpecialistTarmoq:Programming, data science, ML - free courses by Big Data SpecialistHindiston28 863Texnologiyalar & Aralashmalar8 914

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

Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 901 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 914-o'rinni va Hindiston mintaqasida 28 863-o'rinni egallagan.

πŸ“Š Auditoriya koβ€˜rsatkichlari va dinamika

Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβ€˜sib, 13 901 obunachiga ega boβ€˜ldi.

29 Avgust, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 86 ga, soβ€˜nggi 24 soatda esa 0 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oβ€˜rtacha 7.48% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.04% ini tashkil etuvchi reaksiyalarni toβ€˜playdi.
  • Post qamrovi: Har bir post oβ€˜rtacha 1 039 marta koβ€˜riladi; birinchi sutkada odatda 284 ta koβ€˜rish yigβ€˜iladi.
  • Reaksiyalar va oβ€˜zaro ta’sir: Auditoriya faol: har bir postga oβ€˜rtacha 5 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 Avgust, 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.

13 901
Obunachilar
Ma'lumot yo'q24 soatlar
-57 kunlar
+8630 kunlar
Postlar arxiv
Data science/ML/AI
Data science/ML/AI
13 901
Repost from Programming, data science, ML - free courses by Big Data Specialist
According to this poll which has votes from 871 people by now, most of you are interested in data science. Since we created o
According to this poll which has votes from 871 people by now, most of you are interested in data science. Since we created our @datascience_bds channel I am not posting much data science here. But it's truth that even that channel is a little bit neglected by me recently (due to many obligations I have). To make it up for you I created this data science skills post today. I hope you like it. I am also sending this ⏰ 6 hours long data science course by freecodecamp https://www.youtube.com/watch?v=ua-CiDNNj30 I hope you will like it. Sincerely Yours @bigdataspecialist

Data science/ML/AI
Data science/ML/AI
13 901
ChatGPT_for_Data_Science_Interview_Cheatsheet.pdf0.99 KB

Data science/ML/AI
Data science/ML/AI
13 901
photo content

Data science/ML/AI
Data science/ML/AI
13 901
photo content

Data science/ML/AI
Data science/ML/AI
13 901
photo content

Data science/ML/AI
Data science/ML/AI
13 901
photo content

Data science/ML/AI
Data science/ML/AI
13 901
Detailed roadmap for Data Science
Detailed roadmap for Data Science

Data science/ML/AI
Data science/ML/AI
13 901
Learn ETL using SSIS Microsoft SQL Server Integration Services (SSIS) Training Rating ⭐️: 4.6 out 5 Students πŸ‘¨β€πŸŽ“ : 62,785 Duration ⏰ : 1hr 37min on-demand video Created by πŸ‘¨β€πŸ«: Rakesh Gopalakrishnan πŸ”— Course Link #ETL #SSIS βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 901
πŸ”₯FREE COURSE ON GENERATIVE AIπŸ”₯ Interested in learning about GENERATIVE AI?πŸ”₯ Here's a free course from Google. Link #genera
πŸ”₯FREE COURSE ON GENERATIVE AIπŸ”₯ Interested in learning about GENERATIVE AI?πŸ”₯ Here's a free course from Google. Link #generative ai #ml #ai 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/ML/AI
Data science/ML/AI
13 901
Repost from Programming, data science, ML - free courses by Big Data Specialist
πŸ“Š Data Scientists vs Software Engineers πŸ–₯ πŸ” Ever wondered what sets apart Data Scientists from Software Engineers? Let's dive into the key differences! πŸ“ˆ Data Scientists: πŸ’‘ Their role revolves around analyzing complex data to extract valuable insights. πŸ” They focus on data analysis, modeling, and visualization to uncover patterns and trends. 🧠 Skills include statistics, machine learning, and data mining. πŸ”§ Tools they commonly use are Python, R, SQL, and Jupyter Notebooks. πŸ“‹ Responsibilities include data cleaning, preprocessing, and transformation. 🌐 They often possess a strong domain knowledge in a specific industry or business area. 🎯 Their goal is to extract actionable insights from data to drive decision-making. πŸ”„ Workflow follows CRISP-DM, a standard process for data mining. πŸ’Ό Project examples include predictive modeling and recommendation systems. πŸš€ Deployment involves integrating models and insights into existing systems or presenting them in reports. 🎯 Performance evaluation focuses on metrics like accuracy, precision, recall, and F1 score. 🀝 Collaboration involves working with cross-functional teams including domain experts and stakeholders. πŸ’» Software Engineers: πŸ’‘ Their role centers around designing, developing, and maintaining software systems. πŸ” They focus on software design, coding, and testing to create functional and reliable solutions. 🧠 Skills include programming languages, algorithms, and databases. πŸ”§ Tools they commonly use are Java, C++, JavaScript, IDEs, and version control systems. πŸ“‹ Responsibilities include developing scalable software applications. 🌐 They possess general knowledge of software engineering principles. 🎯 Their goal is to develop software that meets user needs and operates flawlessly. πŸ”„ Workflow follows agile or waterfall software development methodologies. πŸ’Ό Project examples include web or mobile app development and system integration. πŸš€ Deployment involves delivering software for end-users to interact with directly. 🎯 Performance evaluation focuses on code efficiency, reliability, and scalability. 🀝 Collaboration involves working with other software engineers and project managers. πŸš€ Whether extracting insights from data or building robust software systems, both Data Scientists and Software Engineers play essential roles in the digital landscape! πŸ”₯ Let's celebrate their unique skills and contributions to the world of technology! πŸ’ͺπŸ’» #DataScience #SoftwareEngineering #TechComparison #DigitalWorld #DataAnalysis #SoftwareDevelopment βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 901
Data science cheatsheet
Data science cheatsheet

Data science/ML/AI
Data science/ML/AI
13 901
Basic terms for beginners
Basic terms for beginners

Data science/ML/AI
Data science/ML/AI
13 901
Data Science Pipeline 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 @bi
Data Science Pipeline 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/ML/AI
Data science/ML/AI
13 901
Artificial Neural Network for Regression Rating ⭐️: 4.6 out of 5 Duration ⏰: 1hr 11min on-demand video Students πŸ‘¨β€πŸ«: 49,827 Created by: Hadelin de Ponteves, SuperDataScience Team, Ligency Team πŸ”— Course link #ai #ml #neural_networks #machine_learning #data_science #regression 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/ML/AI
Data science/ML/AI
13 901
Data Science vs ML vs Data Analytics vs Math Visualization created by our team. #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascien
Data Science vs ML vs Data Analytics vs Math Visualization created by our team. #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 901
Business_Science_Problem_Framework.pdf2.63 KB

Data science/ML/AI
Data science/ML/AI
13 901
data-science-ipython-notebooks Creator: Donne Martin Stars ⭐️: 22.6k Forked By: 7k GithubRepo: https://github.com/donnemartin/data-science-ipython-notebooks 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/ML/AI
Data science/ML/AI
13 901
Visualisation: visual representations of data and information Modern society is often referred to as 'the information society
Visualisation: visual representations of data and information Modern society is often referred to as 'the information society' - but how can we make sense of all the information we are bombarded with? In this free course, Visualisation: visual representations of data and information, you will learn how to interpret, and in some cases create, visual representations of data and information that help us to see things in a different way. ⏰ Free Online Course ⏰ 9 Module ⏰ Duration : 8 hours πŸƒβ€β™‚οΈ Self paced Offered by: openlearn πŸ”— Course link #Data #Visualization #data_science βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @datascience_bds for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 901
Applied Data Science by Daniel Krasner πŸ“„ 141 pages πŸ”— Book link #BigData #DataScience #MachineLearning #Statistics βž–βž–βž–βž–βž–βž–βž–βž–βž–
Applied Data Science by Daniel Krasner πŸ“„ 141 pages πŸ”— Book link #BigData  #DataScience  #MachineLearning  #Statistics βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more

Data science/ML/AI
Data science/ML/AI
13 901
NOC:Python for Data Science, IIT Madras πŸ†“ Free Online Course πŸ’» 40 Lecture Videos ⏰ 5 Module πŸƒβ€β™‚οΈ Self paced Teacher πŸ‘¨β€πŸ« : Prof. Ragunathan Rengasamy πŸ”— https://nptel.ac.in/courses/106106212 #Data_Science #IIT βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ