The Pearson correlation coefficient, is a statistical measure that quantifies the strength and direction of the linear relationship between two continuous variables, ranging from -1 to +1. A value of +1 implies a perfect positive linear relationship, -1 a perfect negative relationship, and 0 no linear correlation. The following video shows how to setup envoirnment for video (.mp4) or animation of the coefficient using python script and Jupyter Notebook. #Python #Machinelearning #Scripting
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🚀 Day 17 – Anagram Check in Python 💻 Today’s task: Write a program to check whether two strings are anagrams. 🔍 Two strings are anagrams if they contain the same characters with the same frequency, just arranged differently (e.g., *listen* & *silent*). 📌 This exercise helped me understand: • String manipulation 🧩 • Character frequency comparison 🔍 • Sorting and logical thinking ⚙️ ✨ A simple concept, but very useful in problem-solving and interviews. 📈 Learning and improving consistently every day. #Python #100DaysOfCode #CodingJourney #Programming #ProblemSolving #Developer #LearnToCode #Tech #PythonTips
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🎥 Project Explanation Video Here is my explanation for Iris Flower Classification project using Machine Learning. 🔗 GitHub Link: https://lnkd.in/gKwJNFrr #DataScience #MachineLearning #Python #CodeAlpha
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Just solved a classic DSA problem: Valid Parentheses Check using a stack! This problem is a great example of how a simple concept like a stack can help solve real interview-level questions efficiently. In the video, I walk through the logic step-by-step and implement it in Python in a clean and beginner-friendly way. If you're preparing for coding interviews or strengthening your DSA fundamentals, this one is definitely worth your time. 🎥 Check out the full explanation in the given link. Would love to hear how you approached this problem or if you have alternative solutions! #datastructures #algorithms #python #codinginterview #softwareengineering #learning #dsa https://lnkd.in/g8AdYW6J
2. Check for Balanced Parentheses (Python) | DSA 💻 - PRACTICE PROBLEM
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Two sum: Using dictionary (Optimized Solution) Instead of checking every pair: For each number, calculate what number is required. Formula to calculate required : required = target - current_number Time complexity → O(n) #Python #LogicBuilding #ProblemSolvingSkills #Beginners
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Python Clarity Series – Episode 25 Topic: Mutable vs Immutable Function Behavior 📌 Why did my list change after function call? def modify(lst): lst.append(100) a = [1, 2] modify(a) print(a) Output: [1, 2, 100] 👉 Lists are mutable → changes reflect outside Now: def modify(x): x = x + 10 a = 5 modify(a) print(a) Output: 5 👉 Integers are immutable → no change outside 💡 Rule: Mutable → changes persist Immutable → changes don’t This confusion causes logic errors. #PythonBasics #FunctionConcepts #StudentClarity #python #clarity
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Built this in an afternoon with Python Real-time hand tracking with neon AR overlays. No fancy hardware, just a webcam and a few lines of code. Tools MediaPipe (Google) OpenCV Python Just a small concept on computer vision #python #opencv #computervision
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🚀 Solved today’s GeeksforGeeks Problem of the Day: Segregate 0s and 1s using Python 🐍 Problem: Given a binary array, rearrange it in-place such that all 0s come before 1s. Approach: Used the efficient Two Pointer Technique. ✔ Left pointer → finds misplaced 1 ✔ Right pointer → finds misplaced 0 ✔ Swap and move pointers inward 💡 Key Insight: No need for extra space or sorting — we can solve this in O(n) time and O(1) space using pointers. 💡 Concepts Used: Two Pointers | Array Manipulation | In-place Algorithm Sometimes, the simplest problems reinforce the most important techniques used in complex scenarios 🔁 #geekstreak60 #geeksforgeeks #dsa #python #coding #problemSolving #arrays #twopointers
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🐍 Day 117 — Hyperparameter Tuning Day 117 of #python365ai ⚙️ Tune model settings to improve performance. Example: from sklearn.model_selection import GridSearchCV 📌 Why this matters: Small changes can significantly improve results. 📘 Practice task: Tune one parameter in a model. #python365ai #HyperparameterTuning #ML #Python
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🚀 Day 5 – Exploring String Methods in Python Continuing my learning journey with @Global Quest Technologies! Today’s session focused on working with strings and their powerful built-in methods: 🔹 strip() and other essential string methods like split(), join(), replace() 🔹 Case conversion methods – upper(), lower(), swapcase(), title(), capitalize() 🔹 String checking methods – startswith(), endswith() 🔹 String formatting techniques 🔹 Program to accept a string and find its reverse These concepts are very useful for handling and manipulating text efficiently in Python. ✨ Each day brings new knowledge and skills! #Python #LearningJourney #Programming #Coding #Growth
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Started moving from learning syntax to actually building logic. 🚀 Project: Number Guessing Game in Python Built an interactive game where the system generates a random number and provides hints (higher/lower) until the correct guess is made. 🔹 Concepts applied: • Random module • While loop for continuous interaction • Conditional logic (if-elif-else) • Attempt tracking 💡 Key learning: Even a simple project highlights the importance of writing correct logic and thinking step by step to improve user interaction. 📌 Focusing on consistency and improving with every project. #Python #CodingJourney #BeginnerProjects #ProblemSolving #100DaysOfCode
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