Machine Learning with Python
Kanalga Telegramβda oβtish
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
Ko'proq ko'rsatish
π Telegram kanali Machine Learning with Python analitikasi
Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 68 459 obunachidan iborat bo'lib, TaΚΌlim toifasida 2 403-o'rinni va Hindiston mintaqasida 4 579-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 68 459 obunachiga ega boβldi.
02 Noyabr, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -42 ga, soβnggi 24 soatda esa -6 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 3.87% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.52% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 2 649 marta koβriladi; birinchi sutkada odatda 1 038 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 8 ta reaksiya keladi.
- Tematik yoβnalishlar: Kontent insidead, learning, degree, evaluation, algorithm kabi asosiy mavzularga jamlangan.
π Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taβriflaydi:
βLearn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikhoβ
Yuqori yangilanish chastotasi (oxirgi maβlumot 03 Noyabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni TaΚΌlim toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
68 459
Obunachilar
-624 soatlar
-1037 kun
-4230 kun
Postlar arxiv
We present to you our special offer:
Advertising on all our channels for $35
Format 12/forever
our programming channels
https://t.me/addlist/8_rRW2scgfRhOTc0
Contact
t.me/HusseinSheikho
π The book that paved the way for me to "data science"!
π¨π»βπ» "Where do I start now?" This was the first and biggest question I faced when I started my Data Science learning journey!
βͺ I was really overwhelmed by the large number of scattered sources, long courses, and specialized books full of heavy terminology. I didn't know how to start and move forward in this direction...
βοΈ But the book Intro to Data Science with Python changed everything for me and gave me a new perspective!
βοΈ This book is a complete guide to starting from scratch and is great for both beginners and professionals in this field!! From coding with Python to working with data, visualization, and even AI tools, it explains everything in the simplest and most practical way possible.
πΈ A great start for anyone looking to learn data science with Python!π
β π³οΈβπ Intro to Data Science with Python
β π E-book
β π± GitHub-Repos
#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming #Keras https://t.me/CodeProgrammer β
Machine Learning from Scratch by Danny Friedman
This book is for readers looking to learn new machine learning algorithms or understand algorithms at a deeper level. Specifically, it is intended for readers interested in seeing machine learning algorithms derived from start to finish. Seeing these derivations might help a reader previously unfamiliar with common algorithms understand how they work intuitively. Or, seeing these derivations might help a reader experienced in modeling understand how different algorithms create the models they do and the advantages and disadvantages of each one.
This book will be most helpful for those with practice in basic modeling. It does not review best practicesβsuch as feature engineering or balancing response variablesβor discuss in depth when certain models are more appropriate than others. Instead, it focuses on the elements of those models.
π Link: https://dafriedman97.github.io/mlbook/content/introduction.html
#DataScience #MachineLearning #CheatSheet #stats #analytics #ML #IA #AI #programming #code #rstats #python #deeplearning #DL #CNN #Keras #R https://t.me/CodeProgrammer β
β‘ Special Offer for 3 Days:
Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only.
The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages.
We only accept payments via PayPal and cryptocurrencies.
Contact:
t.me/HusseinSheikho β
β‘ Special Offer for 3 Days:
Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only.
The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages.
We only accept payments via PayPal and cryptocurrencies.
Contact:
t.me/HusseinSheikho β
Special Offer for 3 Days:
Join our exclusive (paid) channel for a lifetime and get your own bot to download over a million books with daily updates, and a special bot to download more than 80 million scientific articles, all for just $30, a one-time payment only.
The paid channel includes a vast encyclopedia of the most famous books and training courses in all fields of data science and programming languages.
We only accept payments via PayPal and cryptocurrencies.
Contact
t.me/HusseinSheikho
Top_100_Machine_Learning_Interview_Questions_Answers_Cheatshee.pdf5.83 MB
Top 100 Machine Learning Interview Questions & Answers Cheatshee
ππππππππ
The Roadmap for Mastering Language Models in 2025
Link: https://machinelearningmastery.com/the-roadmap-for-mastering-language-models-in-2025/
π Machine learning
πΈ Deep learning
π LLM models
https://t.me/Machine_learn
π Cheat sheets for data science and machine learning
Link: https://sites.google.com/view/datascience-cheat-sheets
#DataScience #MachineLearning #CheatSheet #stats #analytics #ML #IA #AI #programming #code #rstats #python #deeplearning #DL #CNN
https://t.me/CodeProgrammer β
π₯ IT Pros, Want Extra Cash?
Monetize your skills with affiliate marketing
Whatβs inside:
πNews on CPA networks & affiliate programs.
πAffiliate Marketing tips.
πExpert success stories.
πEasy tutorials to get started.
ππππππππππππ
https://t.me/+xmWH2v5OuF5mMWIy
https://t.me/+xmWH2v5OuF5mMWIy
https://t.me/+xmWH2v5OuF5mMWIy
ππππππππππππ
#affiliatemarketing #tech #monetization
Pay4Bit β Smart Payment Gateway: π³
Crypto & Card Payments: Support for both cryptocurrency and traditional card payments. Charge customers in their local currency.
3 Min ~ Integration time: Get up and running quickly with our simple integration process, tailored to fit your business needs.
User-Friendly Dashboard: Manage all your transactions, view reports, and access essential features through our intuitive and convenient personal dashboard.
#ad
