Forwarded from Code With Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
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📌 I Stole a Wall Street Trick to Solve a Google Trends Data Problem
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-09 | ⏱️ Read time: 14 min read
A methodology for comparing Google Trends data across countries.
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-09 | ⏱️ Read time: 14 min read
A methodology for comparing Google Trends data across countries.
#DataScience #AI #Python
📌 Building a Like-for-Like solution for Stores in Power BI
🗂 Category: DATA ANALYSIS
🕒 Date: 2026-03-10 | ⏱️ Read time: 10 min read
Like-for-Like (L4L) solutions are essential for comparing elements. It’s about comparing only comparable elements, in…
#DataScience #AI #Python
🗂 Category: DATA ANALYSIS
🕒 Date: 2026-03-10 | ⏱️ Read time: 10 min read
Like-for-Like (L4L) solutions are essential for comparing elements. It’s about comparing only comparable elements, in…
#DataScience #AI #Python
📌 What Are Agent Skills Beyond Claude?
🗂 Category: AGENTIC AI
🕒 Date: 2026-03-10 | ⏱️ Read time: 6 min read
How to design and implement agent skills for custom agents outside the Claude ecosystem
#DataScience #AI #Python
🗂 Category: AGENTIC AI
🕒 Date: 2026-03-10 | ⏱️ Read time: 6 min read
How to design and implement agent skills for custom agents outside the Claude ecosystem
#DataScience #AI #Python
Forwarded from Machine Learning with Python
🗂 A fresh deep learning course from MIT is now publicly available
A full-fledged educational course has been published on the university's website: 24 lectures, practical assignments, homework, and a collection of materials for self-study.
The program includes modern neural network architectures, generative models, transformers, inference, and other key topics.
➡️ Link to the course
tags: #Python #DataScience #DeepLearning #AI
A full-fledged educational course has been published on the university's website: 24 lectures, practical assignments, homework, and a collection of materials for self-study.
The program includes modern neural network architectures, generative models, transformers, inference, and other key topics.
➡️ Link to the course
tags: #Python #DataScience #DeepLearning #AI
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📌 Hybrid Neuro-Symbolic Fraud Detection: Guiding Neural Networks with Domain Rules
🗂 Category: DEEP LEARNING
🕒 Date: 2026-03-10 | ⏱️ Read time: 14 min read
I really thought I was onto something big: add a couple of simple domain rules…
#DataScience #AI #Python
🗂 Category: DEEP LEARNING
🕒 Date: 2026-03-10 | ⏱️ Read time: 14 min read
I really thought I was onto something big: add a couple of simple domain rules…
#DataScience #AI #Python
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📌 When Data Lies: Finding Optimal Strategies for Penalty Kicks with Game Theory
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-10 | ⏱️ Read time: 9 min read
A data-driven introduction to game theory, Nash equilibrium, and strategic decision-making
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-10 | ⏱️ Read time: 9 min read
A data-driven introduction to game theory, Nash equilibrium, and strategic decision-making
#DataScience #AI #Python
Forwarded from Machine Learning with Python
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🔥Whether you're preparing for #Python, #AI, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #Excel, #comptia, #ITIL, #cloud or any other in-demand certification – SPOTO has got you covered!
✅ Free Resources :
・Free Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS courses: https://bit.ly/4lk4m3c
・IT Certs E-book: https://bit.ly/4bdZOqt
・IT Exams Skill Test: https://bit.ly/4sDvi0b
・Free AI material and support tools: https://bit.ly/46TpsQ8
・Free Cloud Study Guide: https://bit.ly/4lk3dIS
🎁 Join SPOTO 23rd anniversary Lucky Draw:
📱 iPhone 17
🛒free order
🛒 Amazon Gift Card $50/$100
📘 AI/CCNA/PMP Course Training + Study Material + eBook
Enter the Draw 👉: https://bit.ly/3NwkceD
👉 Become Part of Our IT Learning Circle! resources and support:
https://chat.whatsapp.com/Cnc5M5353oSBo3savBl397
💬 Want exam help? Chat with an admin now!
wa.link/rozuuw
⏰Last Chance – Get It Before It’s Gone!
📌 How the Fourier Transform Converts Sound Into Frequencies
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-03-11 | ⏱️ Read time: 26 min read
A visual, intuition-first guide to understanding what the math is really doing — from winding…
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-03-11 | ⏱️ Read time: 26 min read
A visual, intuition-first guide to understanding what the math is really doing — from winding…
#DataScience #AI #Python
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📌 An Intuitive Guide to MCMC (Part I): The Metropolis-Hastings Algorithm
🗂 Category: MATH
🕒 Date: 2026-03-11 | ⏱️ Read time: 14 min read
Tired of the AI hype? Let’s talk about the probabilistic algorithms actually driving high-end quantitative…
#DataScience #AI #Python
🗂 Category: MATH
🕒 Date: 2026-03-11 | ⏱️ Read time: 14 min read
Tired of the AI hype? Let’s talk about the probabilistic algorithms actually driving high-end quantitative…
#DataScience #AI #Python
📌 Spectral Clustering Explained: How Eigenvectors Reveal Complex Cluster Structures
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-03-11 | ⏱️ Read time: 10 min read
Understanding why spectral clustering outperforms K-means
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-03-11 | ⏱️ Read time: 10 min read
Understanding why spectral clustering outperforms K-means
#DataScience #AI #Python
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📌 Why Most A/B Tests Are Lying to You
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-11 | ⏱️ Read time: 14 min read
The 4 statistical sins that invalidate most A/B tests, plus a pre-test checklist and Bayesian…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-11 | ⏱️ Read time: 14 min read
The 4 statistical sins that invalidate most A/B tests, plus a pre-test checklist and Bayesian…
#DataScience #AI #Python
📌 Exploratory Data Analysis for Credit Scoring with Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-12 | ⏱️ Read time: 16 min read
Understanding default risk through statistical analysis of borrower and loan characteristics.
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-12 | ⏱️ Read time: 16 min read
Understanding default risk through statistical analysis of borrower and loan characteristics.
#DataScience #AI #Python
Forwarded from Machine Learning with Python
Machine Learning in python.pdf
1 MB
Machine Learning in Python (Course Notes)
I just went through an amazing resource on #MachineLearning in #Python by 365 Data Science, and I had to share the key takeaways with you!
Here’s what you’ll learn:
🔘 Linear Regression - The foundation of predictive modeling
🔘 Logistic Regression - Predicting probabilities and classifications
🔘 Clustering (K-Means, Hierarchical) - Making sense of unstructured data
🔘 Overfitting vs. Underfitting - The balancing act every ML engineer must master
🔘 OLS, R-squared, F-test - Key metrics to evaluate your models
https://t.me/CodeProgrammer || Share🌐 and Like 👍
I just went through an amazing resource on #MachineLearning in #Python by 365 Data Science, and I had to share the key takeaways with you!
Here’s what you’ll learn:
🔘 Linear Regression - The foundation of predictive modeling
🔘 Logistic Regression - Predicting probabilities and classifications
🔘 Clustering (K-Means, Hierarchical) - Making sense of unstructured data
🔘 Overfitting vs. Underfitting - The balancing act every ML engineer must master
🔘 OLS, R-squared, F-test - Key metrics to evaluate your models
https://t.me/CodeProgrammer || Share
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Forwarded from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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📌 Solving the Human Training Data Problem
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-03-12 | ⏱️ Read time: 18 min read
How AI has completely transformed the way I study as a graduate student
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-03-12 | ⏱️ Read time: 18 min read
How AI has completely transformed the way I study as a graduate student
#DataScience #AI #Python
📌 Scaling Vector Search: Comparing Quantization and Matryoshka Embeddings for 80% Cost Reduction
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-03-12 | ⏱️ Read time: 11 min read
Navigating the performance cliff: How pairing MRL with int8 and binary quantization balances infrastructure costs…
#DataScience #AI #Python
🗂 Category: MACHINE LEARNING
🕒 Date: 2026-03-12 | ⏱️ Read time: 11 min read
Navigating the performance cliff: How pairing MRL with int8 and binary quantization balances infrastructure costs…
#DataScience #AI #Python
📌 I Finally Built My First AI App (And It Wasn’t What I Expected)
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-03-12 | ⏱️ Read time: 14 min read
A beginner-friendly walkthrough of API calls, environment variables, and real-world AI infrastructure
#DataScience #AI #Python
🗂 Category: LARGE LANGUAGE MODELS
🕒 Date: 2026-03-12 | ⏱️ Read time: 14 min read
A beginner-friendly walkthrough of API calls, environment variables, and real-world AI infrastructure
#DataScience #AI #Python
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📌 A Tale of Two Variances: Why NumPy and Pandas Give Different Answers
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-13 | ⏱️ Read time: 7 min read
Imagine you are analyzing a small dataset: You want to calculate some summary statistics to…
#DataScience #AI #Python
🗂 Category: DATA SCIENCE
🕒 Date: 2026-03-13 | ⏱️ Read time: 7 min read
Imagine you are analyzing a small dataset: You want to calculate some summary statistics to…
#DataScience #AI #Python