Linear Regression Implementation with Python

🐍 Day 95 — Model Evaluation (Mean Squared Error) Day 95 of #python365ai 📏 Evaluate models using metrics like MSE. Example: from sklearn.metrics import mean_squared_error 📌 Why this matters: We need to measure how good a model is. 📘 Practice task: Compute error for predictions. #python365ai #ModelEvaluation #ML #Python

🐍 Day 92 — Linear Regression (Concept) Day 92 of #python365ai 📈 Linear regression models relationships between variables. Equation: y = mx + c 📌 Why this matters: It’s one of the simplest and most important ML models. 📘 Practice task: Think of predicting salary based on experience. #python365ai #LinearRegression #MachineLearning #Python

Hey folks, built a tool that generates videos from code files. Curious do you think there's a place for a video like this when all you care about is the learning or do you always prefer a human talking head? Let me know in the comments :) #ai #video #education #discuss #python

I built a tiny Python library for AI agents. It's called ExAgent. No complex setup. No heavy framework. Just agents + skills. This video shows how it works in under a minute. Trying to make agent building as simple as writing a script. Feedback welcome 👇 #python #ai #opensource

Sorting lists of dictionaries or objects in Python often means writing small, repetitive lambda functions. There's a cleaner, faster way to grab specific items for sorting or processing. This little trick makes your data operations much more elegant and performant ✨. Do you use `itemgetter` or stick with `lambda` for sorting? Share your preferred method below! #Python #MachineLearning #AI #CodingTips #PythonTips

🚀 Day 5 of My Generative & Agentic AI Journey! Today’s focus was on understanding Tuples in Python and how they work. Here’s what I learned: 🔗 Tuples in Python: • Tuples are denoted using () brackets • They are immutable — once created, they cannot be changed • Useful for storing fixed data 🔄 Swapping Values: • Learned a very clean Python trick to swap values • Example: A, B = 2, 1 • Swap using: A, B = B, A 🔍 Checking Elements: • Used the “in” keyword to check if an element exists in a tuple 👉 Key takeaway: Tuples are simple, efficient, and useful when you don’t want your data to change. Slowly building strong Python fundamentals step by step 💪 #Day5 #Python #GenerativeAI #AgenticAI #LearningJourney #BuildInPublic

‼️FREE SERIES ALERT Part 4: Implementing Logistic Regression From Scratch in Python | Full Beginner to Advanced AI https://lnkd.in/gujY-KVN This series is designed for beginners in AI/ML who want to move beyond "black-box" libraries and truly understand the software architecture expected in tech interviews. If you're preparing for ML roles and want to truly understand how algorithms work under the hood, this series is for you.

Day 37 / #120DaysOfCode – LeetCode Challenge ✅ Problem Solved: • Search a 2D Matrix 💻 Language: Python 📚 Key Learnings: • Applied Binary Search on a 2D matrix • Learned how to treat matrix as a flattened sorted array • Practiced converting 1D index → 2D index (row, col) • Improved understanding of search space reduction • Strengthened logarithmic time complexity (O(log n)) thinking Better logic → Faster execution 🚀 🔗 LeetCode Profile: https://lnkd.in/gbeMKcv5 #LeetCode #Python #DSA #BinarySearch #Algorithms #CodingJourney #Consistency #120DaysOfCode

🐍 Day 103 — Decision Trees (Implementation) Day 103 of #python365ai 🧑💻 Example: from sklearn.tree import DecisionTreeClassifier model = DecisionTreeClassifier() model.fit(X, y) 📌 Why this matters: Decision Trees handle both classification and regression tasks. 📘 Practice task: Train a simple decision tree model. #python365ai #DecisionTree #MachineLearning #Python

🗂️ HashMap pattern: the fastest way to improve a solution 💡 If you see 'find pair', 'count', or 'seen before' — think HashMap. Why this matters: - Turn nested loops into O(n) with a HashMap — and explain it cleanly. This topic appears repeatedly in interviews and real projects, so depth matters. 📌 If you want, I'll post a 'HashMap patterns' list with example problems. #dsa #algorithms #interviewprep #python #coding