Vaibhav Pandey
@codewiz_v
AI & Data Science | Sharing daily ML/DS learnings | Building open-source side-projects | Open to internships/part-time work
🚀 Excited to connect with people interested in AI · Data Science! I’m an MTech student in AI & DS, sharing my daily learnings + side-projects here. Looking to collaborate, learn and grow. 🔍 Open to internship / part-time roles 📬 DMs open | Let’s build together! #connection
Support Vector Machines only care about the points living on the edge - the support vectors. That’s why SVMs: 🔹 Work well in high-dimensional spaces 🔹 Handle small datasets like a pro 🔹 Can separate almost anything with kernels #MachineLearning #AI #DataScience #LearnInPublic
So much time wasted due to college semester assignments!! 😡 Time to get back to actually learning something!! 💪🏻💪🏻
What is the point of assigning students of Mtech AI-DS to make research paper for almost every subject in semester!! Absolute nonsense!! Students are just learning to write prompts to ChatGPT! Nothing else!! And because of load, students do not learn practically anything!!
Me: trains model for 2 hours Model: “Accuracy = 51%” Bro… that’s just guessing 😭 #MachineLearning #AI
MTech mid-terms ongoing… Currently trying to find the mode of correct answers I can write. Spoiler: it’s close to zero 😂 #Exams #MTech #Stats #humor
👉 Two datasets can have the same mean & variance but look different when plotted. That’s why: 🔹Central Tendency & Dispersion aren’t enough 🔹Visualization reveals hidden structure 🔹Distances show how points actually relate #DataScience #MachineLearning #AI #LearnInPublic
🗓 Day 3: Learning Data Science 💎Scatter Plots 💎Cluster, Data Matrix 💎Dissimilarity for nominal, binary, and ordinal attributes 💎Euclidean, Manhattan, Minkowski distances 💎Cosine Similarity #learninginpublic #datascience #math
🗓 Day 2: Learning Data Science 💎 Measures of Central Tendency ✏️ Mean, Median, Mode, Midrange 💎 Dispersion ✏️ Range, Quantiles, Quartiles, 5-number summary, variance, standard deviation. 💎 Visualization ✏️ Boxplot, Quantile–Quantile Plot #learninginpublic #datascience
📖 Data Mining: Concepts and Techniques I am following this book for leaning Data Science. So far I found it easy to read and learn. What data science resources do you guys follow? Comment below 👇 #datascience #LearnInPublic #resources
🗓 Day 2: Learning Data Science 💎 Measures of Central Tendency ✏️ Mean, Median, Mode, Midrange 💎 Dispersion ✏️ Range, Quantiles, Quartiles, 5-number summary, variance, standard deviation. 💎 Visualization ✏️ Boxplot, Quantile–Quantile Plot #learninginpublic #datascience
🗓 Day 1: Learning Data Science 👉 Data and Datasets 👉 Types of Attributes 👉 General characteristics of Datasets #datascience #learning
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