Python | Machine Learning | Coding | R
@CodeProgrammer
67.1K subscribers
1.24K photos
89 videos
152 files
900 links
Help and ads: @hussein_sheikho

Discover powerful insights with Python, Machine Learning, Coding, and Rβ€”your essential toolkit for data-driven solutions, smart alg

List of our channels:
https://t.me/addlist/8_rRW2scgfRhOTc0

https://telega.io/?r=nikapsOH
Download Telegram
About
Blog
Apps
Platform
Join
Python | Machine Learning | Coding | R
67.1K subscribers
Python | Machine Learning | Coding | R
πŸ”₯ How to become a data scientist in 2025?


1️⃣ First of all, strengthen your foundation (math and statistics) .

✏️ If you don't know math, you'll run into trouble wherever you go. Every model you build, every analysis you do, there's a world of math behind it. You need to know these things well:

βœ… Linear Algebra: Link

βœ… Calculus: Link

βœ… Statistics and Probability: Link

βž–βž–βž–βž–βž–βž–

2️⃣ Then learn programming !

✏️ Without further ado, get started learning Python and SQL.

βœ… Python: Link

βœ… SQL language: Link

βœ… Data Structures and Algorithms: Link

βž–βž–βž–βž–βž–βž–

3️⃣ Learn to clean and analyze data!

✏️ Data is always messy, and a data scientist must know how to organize it and extract insights from it.

βœ… Data cleansing: Link

βœ… Data visualization: Link

βž–βž–βž–βž–βž–βž–

4️⃣ Learn machine learning !

✏️ Once you've mastered the basic skills, it's time to enter the world of machine learning. Here's what you need to know:

◀️ Supervised learning: regression, classification

◀️ Unsupervised learning: clustering, dimensionality reduction

◀️ Deep learning: neural networks, CNN, RNN

βœ… Stanford University CS229 course: Link

βž–βž–βž–βž–βž–βž–

5️⃣ Get to know big data and cloud computing !

✏️ Large companies are looking for people who can work with large volumes of data.

◀️ Big data tools (e.g. Hadoop, Spark, Dask)

◀️ Cloud services (AWS, GCP, Azure)

βž–βž–βž–βž–βž–βž–

6️⃣ Do a real project and build a portfolio !

✏️ Everything you've learned so far is worthless without a real project!

◀️ Participate in Kaggle and work with real data.

◀️ Do a project from scratch (from data collection to model deployment)

◀️ Put your code on GitHub.

βœ… Open Source Data Science Projects: Link

βž–βž–βž–βž–βž–βž–

7️⃣ It's time to learn MLOps and model deployment!

✏️ Many people just build models but don't know how to deploy them. But companies want someone who can put the model into action!

◀️ Machine learning operationalization (monitoring, updating models)

◀️ Model deployment tools: Flask, FastAPI, Docker

βœ… Stanford University MLOps Course: Link

βž–βž–βž–βž–βž–βž–

8️⃣ Always stay up to date and network!

✏️ Follow research articles on arXiv and Google Scholar.

βœ… Papers with Code website: link

βœ… AI Research at Google website: link

#DataScience #HowToBecomeADataScientist #ML2025 #Python #SQL #MachineLearning #MathForDataScience #BigData #MLOps #DeepLearning #AIResearch #DataVisualization #PortfolioProjects #CloudComputing #DSCareerPath
ο»Ώ
βœ‰οΈ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk

πŸ“± Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Please open Telegram to view this post
VIEW IN TELEGRAM
❀14πŸ‘5πŸ”₯2
7.91K views
Python | Machine Learning | Coding | R
In Python, image processing unlocks powerful capabilities for computer vision, data augmentation, and automationβ€”master these techniques to excel in ML engineering interviews and real-world applications! πŸ–Ό  

# PIL/Pillow Basics - The essential image library
from PIL import Image

# Open and display image
img = Image.open("input.jpg")
img.show()

# Convert formats
img.save("output.png")
img.convert("L").save("grayscale.jpg")  # RGB to grayscale

# Basic transformations
img.rotate(90).save("rotated.jpg")
img.resize((300, 300)).save("resized.jpg")
img.transpose(Image.FLIP_LEFT_RIGHT).save("mirrored.jpg")


more explain: https://hackmd.io/@husseinsheikho/imageprocessing

#Python #ImageProcessing #ComputerVision #Pillow #OpenCV #MachineLearning #CodingInterview #DataScience #Programming #TechJobs #DeveloperTips #AI #DeepLearning #CloudComputing #Docker #BackendDevelopment #SoftwareEngineering #CareerGrowth #TechTips #Python3
❀1
191 views