No Starch Press | Windows Security Internals with PowerShell (EA)
Source :
https://nostarch.com/windows-security-internals-powershell
ISBN-13: 9781718501980
Download PDF below 👇
Source :
https://nostarch.com/windows-security-internals-powershell
ISBN-13: 9781718501980
Download PDF below 👇
What type of course you want ?
Anonymous Poll
55%
App development
45%
Web development
55%
Software development
Flutter app development course
Market price :- ₹2035
Code field price:- 🆓 free
Download link:- https://drive.google.com/file/d/1zBU0JLVhZKTiENiKQHub8Kw2Rhy7CXRs/edit?pli=1
Poll results:- https://t.me/codingchannel75/293
Market price :- ₹2035
Code field price:- 🆓 free
Download link:- https://drive.google.com/file/d/1zBU0JLVhZKTiENiKQHub8Kw2Rhy7CXRs/edit?pli=1
Poll results:- https://t.me/codingchannel75/293
👍2❤1
Next course you want 👋
Anonymous Poll
31%
Website development 🧾
13%
Software development ✅
56%
Hacking course ✨
Hacking course are available
Only on code field official 🤠
Link :- https://drive.google.com/drive/folders/1qySGecJXwG1WRSYCSgIC8lOPcDVPJ73L
Only on code field official 🤠
Link :- https://drive.google.com/drive/folders/1qySGecJXwG1WRSYCSgIC8lOPcDVPJ73L
Google Drive
Certified Ethical Hacker - Google Drive
Cyber Degrees Edu
-Learn About Careers and Education in the Business Side of Cyber Security
Cybersecurity Certified Ethical Hacker
https://cyberdegreesedu.org/certifications/certified-ethical-hacker/
Certified Ethical Hacker (CEH) can be a confusing term…
-Learn About Careers and Education in the Business Side of Cyber Security
Cybersecurity Certified Ethical Hacker
https://cyberdegreesedu.org/certifications/certified-ethical-hacker/
Certified Ethical Hacker (CEH) can be a confusing term…
👍2
Download now and earn free BTC with me! My invitation code: FRNHYJ
App store: https://apps.apple.com/us/app/id6503180820
Google Play: https://play.google.com/store/apps/details?id=bitcoin.minning.com
App store: https://apps.apple.com/us/app/id6503180820
Google Play: https://play.google.com/store/apps/details?id=bitcoin.minning.com
App Store
Bitcoin Mining · Cloud Mining
Set Sail! From the smallest Satoshi to a full Bitcoin—no technical expertise required. Join us and embark on a new journey into the blockchain world.
Why rely on expensive hardware or worry about complex technical terms? With our cloud solution, you can…
Why rely on expensive hardware or worry about complex technical terms? With our cloud solution, you can…
👍2
It's real and confirmed you can get Bitcoin 🤠 try it and use my code for more profit
👍2
Forwarded from Premium Courses Library
FiverrFancy.pdf
1.6 MB
Fiverr Fancy | Learn Fiverr And Become A Pro
🔥1🥰1
Forwarded from Premium Courses Library
Python Interview Questions@freecodecs.pdf
913 KB
♨️Python ♨️
In this pdf, we will see the most commonly asked python interview questions and answers which will help you excel and bag amazing job offers.
In this pdf, we will see the most commonly asked python interview questions and answers which will help you excel and bag amazing job offers.
🔥2
Want To Learn AI , ML DATA SCIENCE in 2025 Then Follow This Roadmap 👇 Step 1: Master Python & SQL 🐍🗄️
✅ Python Basics: Loops, Functions, OOP, Exception Handling.
✅ Data Science Libraries: NumPy, Pandas, Matplotlib, Seaborn.
✅ SQL Mastery: Joins, Indexing, Window Functions, Query Optimization.
🔗 Resources:
Python for Everybody (Free)
SQL for Data Science (Free)
---
Step 2: Build Strong Math & Stats Foundations 📊🧮
✅ Linear Algebra: Vectors, Matrices, Eigenvalues.
✅ Probability & Statistics: Bayes Theorem, Normal Distribution, Hypothesis Testing.
✅ Calculus for ML: Differentiation, Gradients, Partial Derivatives.
🔗 Resources:
Khan Academy - Linear Algebra
StatQuest YouTube Channel
---
Step 3: Learn Machine Learning Algorithms 🤖📈
✅ Supervised Learning: Regression, Decision Trees, SVM, Naive Bayes.
✅ Unsupervised Learning: Clustering (K-Means, DBSCAN), PCA, Anomaly Detection.
✅ Model Evaluation: Bias-Variance Tradeoff, Overfitting, Cross-Validation.
🔗 Resources:
Andrew Ng's ML Course (Free)
Hands-On ML with Scikit-Learn, Keras, and TensorFlow (Book)
---
Step 4: Explore Deep Learning & NLP 🧠💡
✅ Neural Networks Basics: Forward/Backward Propagation, Activation Functions.
✅ Computer Vision: CNNs, Object Detection (YOLO, Faster R-CNN).
✅ NLP: Transformers, BERT, LLMs, Hugging Face.
🔗 Resources:
Deep Learning Specialization - Andrew Ng
Hugging Face Transformers Course (Free)
---
Step 5: Work on Real-World Projects 🔥💻
✅ End-to-End ML Pipelines: Data Cleaning, Feature Engineering, Model Deployment.
✅ Build AI Applications: Chatbots, Image Classification, AI Content Generators.
✅ Deploy Models: Flask, FastAPI, Streamlit, Docker.
🔗 Resources:
Kaggle Competitions & Datasets
Full-Stack Deep Learning Course
---
Step 6: Stay Updated & Network 🌍📚
✅ Follow AI Experts: Yann LeCun, Andrew Ng, Geoffrey Hinton.
✅ Read AI Blogs & Research: Papers with Code, arXiv, Towards Data Science.
✅ Join Communities: Kaggle, LinkedIn, Discord, X (Twitter).
🔗 Resources:
Towards Data Science Blog
Papers with Code
✅ Python Basics: Loops, Functions, OOP, Exception Handling.
✅ Data Science Libraries: NumPy, Pandas, Matplotlib, Seaborn.
✅ SQL Mastery: Joins, Indexing, Window Functions, Query Optimization.
🔗 Resources:
Python for Everybody (Free)
SQL for Data Science (Free)
---
Step 2: Build Strong Math & Stats Foundations 📊🧮
✅ Linear Algebra: Vectors, Matrices, Eigenvalues.
✅ Probability & Statistics: Bayes Theorem, Normal Distribution, Hypothesis Testing.
✅ Calculus for ML: Differentiation, Gradients, Partial Derivatives.
🔗 Resources:
Khan Academy - Linear Algebra
StatQuest YouTube Channel
---
Step 3: Learn Machine Learning Algorithms 🤖📈
✅ Supervised Learning: Regression, Decision Trees, SVM, Naive Bayes.
✅ Unsupervised Learning: Clustering (K-Means, DBSCAN), PCA, Anomaly Detection.
✅ Model Evaluation: Bias-Variance Tradeoff, Overfitting, Cross-Validation.
🔗 Resources:
Andrew Ng's ML Course (Free)
Hands-On ML with Scikit-Learn, Keras, and TensorFlow (Book)
---
Step 4: Explore Deep Learning & NLP 🧠💡
✅ Neural Networks Basics: Forward/Backward Propagation, Activation Functions.
✅ Computer Vision: CNNs, Object Detection (YOLO, Faster R-CNN).
✅ NLP: Transformers, BERT, LLMs, Hugging Face.
🔗 Resources:
Deep Learning Specialization - Andrew Ng
Hugging Face Transformers Course (Free)
---
Step 5: Work on Real-World Projects 🔥💻
✅ End-to-End ML Pipelines: Data Cleaning, Feature Engineering, Model Deployment.
✅ Build AI Applications: Chatbots, Image Classification, AI Content Generators.
✅ Deploy Models: Flask, FastAPI, Streamlit, Docker.
🔗 Resources:
Kaggle Competitions & Datasets
Full-Stack Deep Learning Course
---
Step 6: Stay Updated & Network 🌍📚
✅ Follow AI Experts: Yann LeCun, Andrew Ng, Geoffrey Hinton.
✅ Read AI Blogs & Research: Papers with Code, arXiv, Towards Data Science.
✅ Join Communities: Kaggle, LinkedIn, Discord, X (Twitter).
🔗 Resources:
Towards Data Science Blog
Papers with Code
🔥2
Hello friends 👋 i will start new series of web development in starting so tells start and enjoy for new series all types tags information , all projects and anything so react on this post and start begins 😎