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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 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Data science/ML/AI

تُعد قناة Data science/ML/AI (@datascience_bds) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 13 685 مشتركاً، محتلاً المرتبة 9 380 في فئة التكنولوجيات والتطبيقات والمرتبة 31 607 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 13 685 مشتركاً.

بحسب آخر البيانات بتاريخ 10 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 143، وفي آخر 24 ساعة بمقدار 2، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 8.09‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.22‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 1 106 مشاهدة. وخلال اليوم الأول يجمع عادةً 304 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 5.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل panda, learning, row, api, ethic.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
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 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 11 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

13 685
المشتركون
+224 ساعات
+217 أيام
+14330 أيام
أرشيف المشاركات
ML algorithms and their usages
ML algorithms and their usages

Ready to break into tech? Learn how to get a high-paying job as a Software Tester or Manual QA!🚀 The demand by tech companie
Ready to break into tech? Learn how to get a high-paying job as a Software Tester or Manual QA!🚀 The demand by tech companies for Manual QA keeps increasing. Many of you might still be wondering, "QA“? ⠀ QA stands for Quality Assurance. Software QA Engineers (or Software Testers) make sure websites and mobile apps work as expected. They search for errors and bugs and report them to the development team. All tech companies require QA Engineers to prevent issues and guarantee high-standard outcomes. Manual QA is a straightforward task! 👌 No experience required 👌 High salaries & demand 👌 No need to learn coding or programming! 👌 We’ll teach you all you need to know to get, do and keep the job of Software Engineer. 🔗 Follow the link to get: ✅  2 hours of career insights ✅  Practice a real-life test case of a QA engineer ✅  Special offer See you April 27th at our webinar!

PANDAS FOR DATA SCIENCE In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can
PANDAS FOR DATA SCIENCE In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can use it to analyze data with Python. Pandas is a game-changer for data science and analytics, particularly if you came to Python because you were searching for something more powerful than Excel and VBA. It uses fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive. Click Here

Machine Learning
Machine Learning

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Top 12 Interesting Careers to Explore in BIG DATA

WHAT'S ON YOUR MIND? I'M CURIOUS.🙂 Hey 👋 there! I see that you have been enjoying the resources shared here so far. In a bid to serve you better ☺️ I'm really interested in how best the resources here suit you? Are there resources you have been unable to find here😊 or resources you wish you could get access to?😉 Kindly leave your thoughts here. If you have been enjoying it so far. I'm glad 😊to know this and I wish you well in your learning journey.

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Reading Minds with AI: Researchers Translate Brain Waves to Images This article discusses a new AI technology developed by researchers that is capable of translating brain waves into images. The technology utilizes machine learning algorithms to analyze the patterns in brain waves produced when a person is shown visual stimuli and convert them into digital images. This breakthrough could potentially help individuals who have difficulty communicating, such as those with paralysis, to express their thoughts and feelings through images. An Interesting Article 😉

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Stanford Seminar on Machine Learning Explainability Hey there ☺️. Are you interested in the Explainability of ML and everything going on around it from the basics to the latest research in it? Here's a cool 😎 video from Stanford Video Link #stanford #ml

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Data Science Interview Resource Looking to ace that Data Science Interview? This resource got you covered 👌 It covers a wide range of topics from machine learning and deep learning to probability and statistics , python and SQL . Link Happy Learning 😃 #deep_learning #machine_learning #Data_Science #interview ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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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.

As i promised, here is a list of famous Indian companies that hire data scientists and data engineers: Flipkart Ola Swiggy Zomato InMobi Myntra Practo Razorpay Dream11 PhonePe Byju's Hike Reliance Jio Paytm PolicyBazaar Cure.fit Udaan Freshworks Cred BigBasket @datascience_bds

Companies That Hire Data Scientists Amazon Facebook Google Microsoft Netflix Airbnb Uber LinkedIn Twitter PayPal Booking.com
Companies That Hire Data Scientists Amazon Facebook Google Microsoft Netflix Airbnb Uber LinkedIn Twitter PayPal Booking.com Airbnb Salesforce IBM Accenture McKinsey & Company BCG EY Deloitte PwC Companies that hire Data Engineers: Amazon Web Services (AWS) Google Cloud Platform (GCP) Microsoft Azure IBM Cloud Facebook Netflix Uber Airbnb LinkedIn Twitter PayPal Salesforce Oracle Cisco Intel Hewlett Packard Enterprise (HPE) Accenture McKinsey & Company BCG EY Please note that this list is not exhaustive and there may be many more companies that hire those 2 positions. Tomorrow we are sharing list of Indian companies, both at your request 😊 @datascience_bds

Binary Classification: A Deep Learning Approach Unlock the power to predict the future with binary classification. This tutorial will guide you through the process of distinguishing between two outcomes using Deep Learning. Click Me #deep_learning #classification ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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: 👉 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 😃