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GATE Data Science and Artificial Intelligence 2025
21k+ interested Geeks
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Course Description
Unlock success with our GATE Data Science and ArtificiaI Intelligence 2025. Specially curated by experts, our courses in Machine Learning and Artificial Intelligence are your gateway to academic excellence. Fast-track your career and unleash your potential - Enroll now!
26 Weeks
Last Chance to be a part of the Three 90 Challenge!
For further queries reach us via Call/WhatsApp at: +91-9266851324
If They Made It Happen, So Can You!
Course Overview
Course Features
Additional Benefits
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Challenge Ending on 14th September!
Last few days left for you to avail the 90% Refund offer. Thousands of learners have claimed their refunds so far, and this is your final chance.
Course Content
01Probability and Statistics
- Counting (Permutations and Combinations)
- Probability Axioms
- Sample Space, Events
- Independent Events, Mutually Exclusive Events
- Marginal, Conditional, and Joint Probability
- Bayes' Theorem
- Conditional Expectation and Variance
- Mean, Median, Mode, and Standard Deviation
- Correlation and Covariance
- Random Variables
- Discrete Random Variables and Probability Mass Functions
- Uniform, Bernoulli, Binomial Distribution
- Continuous Random Variables and Probability Distribution Functions
- Uniform, Exponential, Poisson, Normal, Standard Normal Distributions
- t-Distribution, Chi-Squared Distributions
- Cumulative Distribution Function
- Conditional Probability Density Function
- Central Limit Theorem
- Confidence Interval
- z-Test, t-Test, Chi-Squared Test
02Linear Algebra
- Vector Space
- Subspaces
- Linear Dependence and Independence of Vectors
- Matrices
- Projection Matrix
- Orthogonal Matrix
- Idempotent Matrix
- Partition Matrix and their Properties
- Quadratic Forms
- Systems of Linear Equations and Solutions
- Gaussian Elimination
- Eigenvalues and Eigenvectors
- Determinant
- Rank
- Nullity
- Projections
- LU Decomposition
- Singular Value Decomposition
03Calculus and Optimization
- Functions of a Single Variable
- Limit
- Continuity
- Differentiability
- Taylor Series
- Maxima and Minima
- Optimization Involving a Single Variable
04Programming, Data Structures, and Algorithms
- Programming in Python
- Basic Data Structures
- Stacks
- Queues
- Linked Lists
- Trees
- Hash Tables
- Search Algorithms
- Linear Search
- Binary Search
- Basic Sorting Algorithms
- Selection Sort
- Bubble Sort
- Insertion Sort
- Divide and Conquer
- Mergesort
- Quicksort
- Introduction to Graph Theory
- Basic Graph Algorithms
- Traversals
- Shortest Path
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Reviews and Ratings
Yuvraj Gupta
Placed at Veersa Technologies
The course helped me progress from the basics to an intermediate level in machine learning, providing a solid foundation and equipping me with essential skills to further explore the field.
Reviews and Ratings
Finding excellent articles elucidating fundamental Gate exam concepts was pivotal for my success. Staying composed throughout the preparation journey was essential. These resources provided clarity, instilled confidence, and ultimately contributed to my achievement in the exam. Highly recommended for aspirants seeking effective study materials.
GFG notes were instrumental in my success. Their concise yet comprehensive content made studying efficient and effective. I found clarity on complex topics, boosting my understanding and confidence. Grateful for such invaluable resources.
Thanks to this course, I gained a deep understanding of Python, data analysis, and machine learning, including essential concepts like Deep Learning, NLP, and machine learning algorithms. GFG's weekly doubt support was invaluable in helping me grasp these complex topics systematically, as I could ask questions and receive clear explanations from experienced instructors.
The "Complete Machine Learning and Data Science Program" offered a robust and thorough foundation in both the theoretical and practical aspects of machine learning and data science. Covering essential topics such as data preprocessing, model selection, and evaluation, the course provided a deep understanding of the core principles that drive machine learning algorithms. Through practical exercises and projects, I was able to apply this theoretical knowledge to real-world datasets, significantly enhancing my problem-solving skills and familiarity with tools like Python, TensorFlow, and sci-kit-learn. The program also explored advanced topics such as Support Vector Machines, Tree Models, and Advanced Regression, equipping me with the expertise to address complex machine-learning challenges. The knowledge and skills I gained have not only prepared me for roles in data science and machine learning but have also improved my competitiveness in the job market.
The Data Science course was extremely helpful, the concepts were explained in a very easy to understand way by the teachers. They used both laptops and whiteboards for better understanding of the students.
In this course I was able to understand all the concepts clearly and also I did projects which helped me to get hands on practice on language and tools.
Finding excellent articles elucidating fundamental Gate exam concepts was pivotal for my success. Staying composed throughout the preparation journey was essential. These resources provided clarity, instilled confidence, and ultimately contributed to my achievement in the exam. Highly recommended for aspirants seeking effective study materials.
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