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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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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.

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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.

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Postlar arxiv
AutoML_Alex State-of-the art Automated Machine Learning python library for Tabular Data Creator: Alex Lekov Stars ⭐️: 191 Forked By: 41 https://github.com/Alex-Lekov/AutoML_Alex #ml #machinelarning #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

15 Essential Tips for Data Visualization
15 Essential Tips for Data Visualization

Understanding Bias and Variance in Machine Learning Bias refers to the error in the model when the model is not able to captu
Understanding Bias and Variance in Machine Learning Bias refers to the error in the model when the model is not able to capture the pattern in the data and what results is an underfit model (High Bias). Variance refers to the error in the model, when the model is too much tailored to the training data and fails to generalise for unseen data which refers to an overfit model (High Variance) There should be a tradeoff between bias and variance. An optimal model should have Low Bias and Low Variance so as to avoid underfitting and overfitting. Techniques like cross validation can be helpful in these cases. Do you enjoy content like this ? Comment to let us know if you learnt something new or revised a concept you knew ! 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

Top 8 Highest Paid Companies with Data Analysts AVG Salary
Top 8 Highest Paid Companies with Data Analysts AVG Salary

What are the things you are most afraid of?
What are the things you are most afraid of?

Platforms for data Analytics Interview Preparation
Platforms for data Analytics Interview Preparation

HDFS (Hadoop Distributed File System) is the primary storage system used by Hadoop applications. This open source framework w
+7
HDFS (Hadoop Distributed File System) is the primary storage system used by Hadoop applications. This open source framework works by rapidly transferring data between nodes. It's often used by companies who need to handle and store big data.

weijie-chen/Linear-Algebra-With-Python Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. Creator: Weijie Chen Stars ⭐️: 1.9k Forked By: 456 https://github.com/weijie-chen/Linear-Algebra-With-Python #Linear_Algebra #Python βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Python Libraries For Data Scientists
Python Libraries For Data Scientists

R Programming 2023: Hands on R Programming for Beginners Learn R Programming and R Studio. Data Analytics. Data Science. Data Visualization. Packages: GGPlot2, Dplyr, StringR Rating ⭐️: 4.5 out 5 Students πŸ‘¨β€πŸŽ“ : 5,603 Duration ⏰ : 1hr 53min of on-demand video Created by πŸ‘¨β€πŸ«: Prashanth Chidambaram πŸ”— Course Link #Data_Science #data_analytics #R βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Most Important Plots in Data Science
Most Important Plots in Data Science

Probability and Statistics cheat sheets for data science By Stanford https://stanford.edu/~shervine/teaching/cme-106/
Probability and Statistics cheat sheets for data science By Stanford https://stanford.edu/~shervine/teaching/cme-106/

Best Free Certified Machine Learning Courses
Best Free Certified Machine Learning Courses

Made-With-ML Learn how to design, develop, deploy and iterate on production-grade ML applications. Creator: Goku Mohandas Stars ⭐️: 34.8k Forked By: 5.6k https://github.com/GokuMohandas/Made-With-ML #ml #machinelarning #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

SQL Essentials for Data Analysts
SQL Essentials for Data Analysts

pandas Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more Creator: pandas-dev Stars ⭐️: 40.8k Forked By: 17.1k https://github.com/pandas-dev/pandas #pandas #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

8 Business Analytics Project Ideas for Your Resume
8 Business Analytics Project Ideas for Your Resume

Data Pre-Processing for Data Analytics and Data Science Pre-Processing for Data Analytics and Data Science Rating ⭐️: 4.5 out 5 Students πŸ‘¨β€πŸŽ“ : 1,686 Duration ⏰ : 1hr 59min on-demand video Created by πŸ‘¨β€πŸ«: Elearning Moocs πŸ”— Course Link #Data_Science #data_analytics βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

How to Become a Power BI expert in 2024
How to Become a Power BI expert in 2024

superset Apache Superset is a Data Visualization and Data Exploration Platform Creator: The Apache Stars ⭐️: 56.1k Forked By: 12.1k https://github.com/apache/superset #data #visualization #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