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If you are a college student and want to access the full resources of CSE(Computer Science & Engineering) as well as for GATE (Graduate Aptitude Test Of Engineering) then you are at a right place , here i am going to provide all resources related to GATE and CSE(Computing Science & Engineering)

CheckOutTheResourcesandkeepexploring

1:-CProgrammingAndDataStructure2:-Algorithm3:-TheoryOfAutomata4:-CompilerDesign5:-OperatingSystem6:-DBMS7:-DigitalDesign8:-DiscreteMathematics9:-ComputerNetworks10:-ComputerArchitecture/Organization(NotIncludedInGate)11:-Java12:-ArtificialIntelligence13:-SoftwareEngineering14:-MicroProcessor15:-Python16:-IOT17:-CloudComputing18:-EngineeringMathematics

For GATE SyllabusClick hereGATE Syllabus

For GATE Question PapersClick hereGATE Question Papers

For Practice Questions with SolutionsClick hereGATE Practice Papers with Solutions

For question practice and test series .Click here Free Test Series Sudo Gate

For Hand Written Ravindra Babu Ravula Notes .Click hereRBR Hand Written Notes (All Subjects)

For Gate Academy Notes .Click hereGate Academy

For PYQ Gate Questions .Click herePYQ RBR

For Made Easy Theory Notes and Practice Booklet .Click hereME Booklet and Theory Book 2020

1. Theory Of Computation (TOC)
2. Operating System (OS)
3. C Programming (C)
4. Data Structure (DS)
5. Digital Design (DD)
6. Database Management System (DBMS)
7. Compiler Design
8. Computer Architecture (CA)
9. Computer Networks (CN)
10. Algorithms (Algo)

Youtube Lectures

1 :-MIT OpenSource

2 :-Gate Lectures By Ravindra Babu Ravula

3 :-Well Academy

4 :-Knowledge GATE

5 :-NPTEL

6 :-Neso Academy

7:-Unacademy Computer Science

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

Youtube Lectures

1 :-MIT OpenSource

2 :-Gate Lectures By Ravindra Babu Ravula

3 :-Easy Engineering Classes

4 :-Knowledge GATE

5 :-NPTEL

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

3:-Scaler Topics

4:-InterviewBit

Youtube Lectures

1 :-MIT OpenSource

2 :-Programming in C by Saurabh Shukla

3 :-NPTEL

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

3:-Tutorial Point

4:-InterviewBit

5:-Scaler Topics

Youtube Lectures

1 :-MIT OpenSource

2 :-Data Structure by Saurabh Shukla

3 :-NPTEL

4 :-Knowledge GATE

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

3:-Tutorial Point

4:-InterviewBit

Youtube Lectures

1 :-Neso Academy

2 :-NPTEL

3 :-Knowledge GATE

4 :-Easy Engineering Classes

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

Youtube Lectures

1 :-Gate Lectures By Ravindra Babu Ravula

2 :-NPTEL

3 :-Knowledge GATE

4 :-Easy Engineering Classes

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

3:-InterviewBit

4:-Scaler Topics

Youtube Lectures

1 :-Gate Lectures By Ravindra Babu Ravula

2 :-NPTEL

3 :-Knowledge GATE

4 :-Easy Engineering Classes

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

Youtube Lectures

1 :-NPTEL

2 :-Gate Book

3 :-Well Academy

4 :-Easy Engineering Classes

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

3:-Computer Architecture Calculators, Practice Problems, Roadmaps, and Cheatsheets

Youtube Lectures

1 :-NPTEL

2 :-Gate Lectures By Ravindra Babu Ravula

3 :-Well Academy

4 :-Easy Engineering Classes

5 :-Knowledge GATE

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

3:-InterviewBit

Youtube Lectures

1 :-NPTEL

2 :-Gate Lectures By Ravindra Babu Ravula

3 :-Well Academy

4 :-Easy Engineering Classes

5 :-Knowledge GATE

Other Resources

1:-Geeks for Geeks

2:-Lecture Notes

3:-Algorithm

• freecodecamp

  • Intro to Java Programming - Course for Absolute Beginners by freecodecamp

• Goodrich, Tamassia, Goldwasser

  • Data Structure and Algorithms in Java (Book)

• Sedgewick and Wayne

  • Algorithms (Book)

  • Free Coursera course that covers the book (taught by the authors!):

    • Algorithms I
    • Algorithms II

• Best Online Courses

  • CSE-229 - Stanford University
  • AndrewNg | Coursera" - Select individual course if it consists of multiple then click on audit below the trial/payment options"
  • ML with Python | YouTube
  • Machine Learning Crash Course | Google Developers
  • Applied Data Science with Python Specialization | Coursera
  • Machine Learning | Kaggle

• Test ML Models on Datasets

  • Kaggle
  • UCI ML Repository
  • Data.Gov

• Book for Machine Learning

  • Introduction to Statistical Learning