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 π https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
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Tarmoq:π 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.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 14 053 obunachiga ega boβldi.
31 Oktabr, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 57 ga, soβnggi 24 soatda esa 1 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 9.70% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.13% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 1 363 marta koβriladi; birinchi sutkada odatda 299 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 4 ta reaksiya keladi.
- Tematik yoβnalishlar: Kontent panda, learning, row, api, ethic kabi asosiy mavzularga jamlangan.
π Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taβriflaydi:
βData science and machine learning hub
Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources.
For beginners, data scientists and ML engineers
π https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatasci...β
Yuqori yangilanish chastotasi (oxirgi maβlumot 01 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
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Obunachilar
+124 soatlar
-37 kun
+5730 kun
Postlar arxiv
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The journey of Data Scientist
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βοΈ 15 Best Machine Learning Cheat Sheet βοΈ
1- Supervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf
2- Unsupervised Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf
3- Deep Learning
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf
4- Machine Learning Tips and Tricks
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf
5- Probabilities and Statistics
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf
6- Comprehensive Stanford Master Cheat Sheet
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf
7- Linear Algebra and Calculus
https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf
8- Data Science Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf
9- Keras Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf
10- Deep Learning with Keras Cheat Sheet
https://github.com/rstudio/cheatsheets/raw/master/keras.pdf
11- Visual Guide to Neural Network Infrastructures
http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png
12- Skicit-Learn Python Cheat Sheet
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf
13- Scikit-learn Cheat Sheet: Choosing the Right Estimator
https://scikit-learn.org/stable/tutorial/machine_learning_map/
14- Tensorflow Cheat Sheet
https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf
15- Machine Learning Test Cheat Sheet
https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/
#machine_learning #deep_learning #scikit-learn #keras
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Ready to break into tech? Learn how to get a high-paying job as a Software Tester or Manual QA!π
The demand by tech companies for Manual QA keeps increasing. Many of you might still be wondering, "QAβ?
β
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!
π No experience required
π High salaries & demand
π No need to learn coding or programming!
π Weβll teach you all you need to know to get, do and keep the job of Software Engineer.
π Follow the link to get:
β
2 hours of career insights
β
Practice a real-life test case of a QA engineer
β
Special offer
See you April 27th at our webinar!
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PANDAS FOR DATA SCIENCE
In this learning path, youβll 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
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Machine Learning
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WHAT'S ON YOUR MIND? I'M CURIOUS.π
Hey π there!
I see that you have been enjoying the resources shared here so far.
In a bid to serve you better βΊοΈ I'm really interested in how best the resources here suit you?
Are there resources you have been unable to find hereπ or resources you wish you could get access to?π
Kindly leave your thoughts here. If you have been enjoying it so far.
I'm glad πto 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 π
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Stanford Seminar on Machine Learning Explainability
Hey there βΊοΈ. 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 π 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 π
It covers a wide range of topics from machine learning and deep learning to probability and statistics , python and SQL .
Link
Happy Learning π
#deep_learning #machine_learning #Data_Science #interview
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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
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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 π
@datascience_bds
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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
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