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 14 051 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 9 088-o'rinni va Hindiston mintaqasida 28 116-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 14 051 obunachiga ega boβldi.
29 Oktabr, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 79 ga, soβnggi 24 soatda esa -4 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
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- Tematik yoβnalishlar: Kontent panda, learning, row, api, ethic kabi asosiy mavzularga jamlangan.
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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 30 Oktabr, 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.
14 051
Obunachilar
-424 soatlar
-57 kun
+7930 kun
Postlar arxiv
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What is data science
Data science, in its most basic terms, can be defined as obtaining insights and information, really anything of value, out of data. Like any new field, it's often tempting but counterproductive to try to put concrete bounds on its definition. This is data science. This is not. In reality, data science is evolving so fast and has already shown such enormous range of possibility that a wider definition is essential to understanding it.
And while it's hard to pin down a specific definition, it's quite easy to see and feel its impact. Data science, when applied to different fields can lead to incredible new insights. And the folks that are using it are already reaping the benefitsβ¦
It has become ubiquitous, even more so for people who work in tech. We've gone so far as to personify data in everyday conversation. We ask what it means, what it says. But do we even know what it is?
In the context of data science, the only form of data that matters is digital data.
Digital data is information that is not easily interpreted by an individual but instead relies on machines to interpret, process, and alter it. The words you are reading on your computer screen are an example of this. These digital letters are actually a systematic collection of ones and zeros that encodes to pixels in various hues and at a specific density.
π Read More
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ZERO RISK SGINALS with QUICK PROFIT
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Some Helpful Data Science Projects for Beginners
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
Intermediate Level Data science Projects
Black Friday Data : https://www.kaggle.com/sdolezel/black-friday
Human Activity Recognition Data : https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones
Trip History Data : https://www.kaggle.com/pronto/cycle-share-dataset
Million Song Data : https://www.kaggle.com/c/msdchallenge
Census Income Data : https://www.kaggle.com/c/census-income/data
Movie Lens Data : https://www.kaggle.com/grouplens/movielens-20m-dataset
Twitter Classification Data : https://www.kaggle.com/c/twitter-sentiment-analysis2
Text mining : https://www.kaggle.com/kanncaa1/applying-text-mining
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Data Science Cheat sheet 2.0
A helpful 5-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between. It covers over a semester of introductory machine learning, and is based on MIT's Machine Learning courses 6.867 and 15.072. The reader should have at least a basic understanding of statistics and linear algebra, though beginners may find this resource helpful as well.
Creator: Aaron Wang
Stars βοΈ: 4.5k
Forked By: 645
https://github.com/aaronwangy/Data-Science-Cheatsheet
#datascience
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Data Science courses with Certificates (FREE)
β― Python
cs50.harvard.edu/python/
β― SQL
kaggle.com/learn/advancedβ¦
β― Excel
simplilearn.com/learn-businessβ¦
β― PowerBI
learn.microsoft.com/training/pathsβ¦
β― Tableau
openclassrooms.com/courses/587360β¦
β― R
mygreatlearning.com/academy/learn-β¦
β― Data Cleaning
kaggle.com/learn/data-cleβ¦
β― Data Analysis
freecodecamp.org/learn/data-anaβ¦
β― Data Visualization
cognitiveclass.ai/courses/data-vβ¦
β― Mathematics & Statistics
matlabacademy.mathworks.com
β― Probability
mygreatlearning.com/academy/learn-β¦
β― Machine Learning
freecodecamp.org/learn/machine-β¦
β― Deep Learning
kaggle.com/learn/intro-toβ¦
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Scientific Data Processing
by Google Cloud Platform
Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
Syllabus includes following topics:
Introduction to SQL for BigQuery and Cloud SQL
Rent-a-VM to Process Earthquake Data
Weather Data in BigQuery
Distributed Image Processing in Cloud Dataproc
Analyzing Natality Data Using Vertex AI and BigQuery
Predict Baby Weight with TensorFlow on AI Platform
π Free Online Course
β° Duration : More than 6 hour
πββοΈ Self paced
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Certification available
Course Link
#data #processing #data_science
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Topπ₯10 Computer Vision π₯Project Ideas π₯
1. Edge Detection
2. Photo Sketching
3. Detecting Contours
4. Collage Mosaic Generator
5. Barcode and QR Code Scanner
6. Face Detection
7. Blur the Face
8. Image Segmentation
9. Human Counting with OpenCV
10. Colour Detection
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Dear Community,
It's become challenging to balance content creation alongside my full-time job and creation of app that will give you any course for free - I am working on that after work for previous 8 months).
This is why I've assembled a team (15 people atm) to help. They're compensated from my own pocket, so I decided to occasionally post some ads to at least reduce the costs of maintaining our community a little bit.
Rest assured, any ads will be clearly labeled, and I'll give my best to filter out any scams.
Thank you for your support and understanding!
For any questions feel free to contact me directly at @mldatascientist
Warm regards,
Big Data specialist
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π₯WEBSITES TO GET FREE DATA SCIENCE CERTIFICATIONSπ₯
π. Kaggle: http://kaggle.com
π. freeCodeCamp: http://freecodecamp.org
π. Cognitive Class: http://cognitiveclass.ai
π. Microsoft Learn: http://learn.microsoft.com
π. Google's Learning Platform: https://developers.google.com/learn
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