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  • GATE DA Resources List : r GATEtard - Reddit
    It has a good mathematical foundation and easily understood even with limited math knowledge But it doesn’t have, Naive bayes, SVMs, hierarchical clustering, PCA, top down, bottom up Try to learn atleast linear regression
  • GATE DA Subject-wise Preparation Tips - GeeksforGeeks
    Data Structures and Algorithms Made Easy: Narasimha Karumanchi: GATE-focused with solved problems Database Management System: Database System Concepts: Silberschatz, Korth, Sudarshan: Detailed DBMS theory and SQL practice Data Science and Big Data: Python for Data Analysis: Wes McKinney: Teaches Pandas and data analysis practically
  • GATE Resources – CSE Data Science - GitHub Gist
    💡 With these free resources, you can prepare for GATE effectively without extra cost! 📌 GATE Exam Guide – MadeEasy – Covers subject codes and details in a simple way 📌 GATE Past Papers Resources – BYJU’s – Access previous years' papers other helpful resources
  • [PDF] GATE Mathematics Study Materials for GATE 2025 - GATExplore
    Engineering Mathematics is an important subject in the GATE 2025 Exam, The mathematics in the GATE exam has 13% weight, and it is easy to get all 13% marks with proper GATE Mathematics Study Materials These 13% marks will make your GATE qualification easy But you don’t get good study materials for GATE Maths Here we come for the rescue
  • GATE DA Preparation Strategy + Resources - MathsCare
    Your complete GATE DA preparation guide: Syllabus, cutoffs, strategy, and best resources to score high and crack IITs PSUs
  • GATE Data Science and AI Top Resources and Study Materials
    Mathematics for Data Science: Linear algebra, calculus, probability, statistics, and discrete mathematics Programming and Data Structures: Proficiency in Python, data structures, and algorithms Machine Learning Techniques: Supervised learning, unsupervised learning, and neural networks
  • GitHub - DS-AI-GATE dsai-gate: A Repository consisting . . .
    From Probability and Statistics to Math, Programming,DSA, DBMS, Machine Learning, and AI, you'll find comprehensive resources that address each topic in detail Explore the power of open source including featured tutorials, course videos, books, articles, courses, websites, code examples in Python


















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