Prepare for GATE: The Right Time is NOW!
GeeksforGeeks brings you everything you need to crack GATE 2026 β 900+ live hours, 300+ recorded sessions, and expert mentorship to keep you on track.
Whatβs inside?
β Live & recorded classes with Indiaβs top educators
β 200+ mock tests to track your progress
β Study materials - PYQs, workbooks, formula book & more
β 1:1 mentorship & AI doubt resolution for instant support
β Interview prep for IITs & PSUs to help you land opportunities
Learn from Experts Like:
Satish Kumar Yadav β Trained 20K+ students
Dr. Khaleel β Ph.D. in CS, 29+ years of experience
Chandan Jha β Ex-ISRO, AIR 23 in GATE
Vijay Kumar Agarwal β M.Tech (NIT), 13+ years of experience
Sakshi Singhal β IIT Roorkee, AIR 56 CSIR-NET
Shailendra Singh β GATE 99.24 percentile
Devasane Mallesham β IIT Bombay, 13+ years of experience
Use code UPSKILL30 to get an extra 30% OFF (Limited time only)
π Enroll for a free counseling session now: https://gfgcdn.com/tu/UI2/
GeeksforGeeks brings you everything you need to crack GATE 2026 β 900+ live hours, 300+ recorded sessions, and expert mentorship to keep you on track.
Whatβs inside?
β Live & recorded classes with Indiaβs top educators
β 200+ mock tests to track your progress
β Study materials - PYQs, workbooks, formula book & more
β 1:1 mentorship & AI doubt resolution for instant support
β Interview prep for IITs & PSUs to help you land opportunities
Learn from Experts Like:
Satish Kumar Yadav β Trained 20K+ students
Dr. Khaleel β Ph.D. in CS, 29+ years of experience
Chandan Jha β Ex-ISRO, AIR 23 in GATE
Vijay Kumar Agarwal β M.Tech (NIT), 13+ years of experience
Sakshi Singhal β IIT Roorkee, AIR 56 CSIR-NET
Shailendra Singh β GATE 99.24 percentile
Devasane Mallesham β IIT Bombay, 13+ years of experience
Use code UPSKILL30 to get an extra 30% OFF (Limited time only)
π Enroll for a free counseling session now: https://gfgcdn.com/tu/UI2/
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HTML CSS JS Project Ideas πβ¨
1. Personal Portfolio Website
2. Task Manager Application
3. Weather App
4. E-Commerce Product Slider
5. Interactive Quiz
6. To-Do List with Local Storage
7. Image Gallery
8. Calculator
9. Animated Landing Page
10. Personal Blogging Platform
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING ππ
1. Personal Portfolio Website
2. Task Manager Application
3. Weather App
4. E-Commerce Product Slider
5. Interactive Quiz
6. To-Do List with Local Storage
7. Image Gallery
8. Calculator
9. Animated Landing Page
10. Personal Blogging Platform
Web Development Best Resources: https://topmate.io/coding/930165
ENJOY LEARNING ππ
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How to upload your project on GitHub ππ
https://t.me/github_coding/37
Step by step approach explained
https://t.me/github_coding/37
Step by step approach explained
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Essential Tools, Libraries, and Frameworks to learn Artificial Intelligence
1. Programming Languages:
Python
R
Java
Julia
2. AI Frameworks:
TensorFlow
PyTorch
Keras
MXNet
Caffe
3. Machine Learning Libraries:
Scikit-learn: For classical machine learning models.
XGBoost: For boosting algorithms.
LightGBM: For gradient boosting models.
4. Deep Learning Tools:
TensorFlow
PyTorch
Keras
Theano
5. Natural Language Processing (NLP) Tools:
NLTK (Natural Language Toolkit)
SpaCy
Hugging Face Transformers
Gensim
6. Computer Vision Libraries:
OpenCV
DLIB
Detectron2
7. Reinforcement Learning Frameworks:
Stable-Baselines3
RLlib
OpenAI Gym
8. AI Development Platforms:
IBM Watson
Google AI Platform
Microsoft AI
9. Data Visualization Tools:
Matplotlib
Seaborn
Plotly
Tableau
10. Robotics Frameworks:
ROS (Robot Operating System)
MoveIt!
11. Big Data Tools for AI:
Apache Spark
Hadoop
12. Cloud Platforms for AI Deployment:
Google Cloud AI
AWS SageMaker
Microsoft Azure AI
13. Popular AI APIs and Services:
Google Cloud Vision API
Microsoft Azure Cognitive Services
IBM Watson AI APIs
14. Learning Resources and Communities:
Kaggle
GitHub AI Projects
Papers with Code
Share with credits: https://t.me/machinelearning_deeplearning
ENJOY LEARNING ππ
1. Programming Languages:
Python
R
Java
Julia
2. AI Frameworks:
TensorFlow
PyTorch
Keras
MXNet
Caffe
3. Machine Learning Libraries:
Scikit-learn: For classical machine learning models.
XGBoost: For boosting algorithms.
LightGBM: For gradient boosting models.
4. Deep Learning Tools:
TensorFlow
PyTorch
Keras
Theano
5. Natural Language Processing (NLP) Tools:
NLTK (Natural Language Toolkit)
SpaCy
Hugging Face Transformers
Gensim
6. Computer Vision Libraries:
OpenCV
DLIB
Detectron2
7. Reinforcement Learning Frameworks:
Stable-Baselines3
RLlib
OpenAI Gym
8. AI Development Platforms:
IBM Watson
Google AI Platform
Microsoft AI
9. Data Visualization Tools:
Matplotlib
Seaborn
Plotly
Tableau
10. Robotics Frameworks:
ROS (Robot Operating System)
MoveIt!
11. Big Data Tools for AI:
Apache Spark
Hadoop
12. Cloud Platforms for AI Deployment:
Google Cloud AI
AWS SageMaker
Microsoft Azure AI
13. Popular AI APIs and Services:
Google Cloud Vision API
Microsoft Azure Cognitive Services
IBM Watson AI APIs
14. Learning Resources and Communities:
Kaggle
GitHub AI Projects
Papers with Code
Share with credits: https://t.me/machinelearning_deeplearning
ENJOY LEARNING ππ
π9
NumPy_SciPy_Pandas_Quandl_Cheat_Sheet.pdf
134.6 KB
Cheatsheet on Numpy and pandas for easy viewing π
ibm_machine_learning_for_dummies.pdf
1.8 MB
Short Machine Learning guide on industry applications and how itβs used to resolve problems π‘
1663243982009.pdf
349.9 KB
All SQL solutions for leetcode, good luck grinding π«£
git-cheat-sheet-education.pdf
97.8 KB
Git commands cheatsheets for anyone working on personal projects on GitHub! πΎ
1655183344172.pdf
333.8 KB
Algorithmic concepts for anyone who is taking Data Structure and Algorithms, or interested in algorithmic trading π
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