From 31be5305f2e233b9628c457b0e5e5a57a051c45a Mon Sep 17 00:00:00 2001 From: bigturtle679 Date: Sat, 25 Oct 2025 09:15:14 +0530 Subject: [PATCH 1/4] Added Deep Learning PYQs --- .../Deep_Learning/PYQs/SAMPLE_PYQ.md | 72 ++++++++++++++----- BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md | 70 ++++++++++++++---- 2 files changed, 111 insertions(+), 31 deletions(-) diff --git a/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md b/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md index 730ecb1..c5743d0 100644 --- a/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md +++ b/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md @@ -1,18 +1,58 @@ -# 📝 Previous Year Questions (PYQs) - -This is a placeholder for PYQs. Students can add: -- Mid Semester exam papers -- End Semester exam papers -- Question papers from last 3-5 years -- Solutions to PYQs (if available) -- Important questions list - -**How to contribute:** -1. Upload PYQ PDFs to Google Drive -2. Make it shareable ("Anyone with link can view") -3. Add the link in the subject's README.md -4. Format: `[📝 Mid Sem 2024](https://drive.google.com/...)` -5. Add your GitHub username as contributor +# Machine Learning: Previous Year Questions (PYQs) + +## Overview 📖 + +This repository/folder serves as a central hub for a curated collection of **Previous Year Questions (PYQs)** related to Machine Learning. The primary goal is to provide a resource for students, enthusiasts, and professionals preparing for exams, interviews, or just looking to test their knowledge. + +All files are hosted externally for easy access. + +## Access the Files 🚀 + +All question papers, notes, and solutions are maintained in a shared drive. + +**👉 Get all files here: https://drive.google.com/drive/u/0/folders/1UvUnZFnp7Yht-Zs3R9VB7rTYaBpzAZih + +*(Note: Please ensure the link is set to "Anyone with the link can view" or similar public sharing permissions.)* + +--- + +## What's in the Drive? 📁 + +The Drive folder is organized to make finding relevant questions as easy as possible. You will find: + +* **/Topics**: Questions sorted by specific ML topics. + * `Supervised_Learning/` (Linear Regression, + Logistic Regression, SVM, etc.) + * `Unsupervised_Learning/` (K-Means, PCA, etc.) + * `Neural_Networks/` (ANN, CNN, RNN, etc.) + * `Model_Evaluation/` (Metrics, Cross-Validation, etc.) +* **/Exams**: Questions sorted by the specific examination or university. + * `University_XYZ_Midterm_2023/` + * `Final_Exam_2022/` +* **/Solutions** (Optional): A separate directory containing solved papers or answer keys. + +*(You can customize this section to match your actual folder structure in the drive.)* + +## How to Use This Resource 💡 + +1. **Click the link** above to open the shared Drive folder. +2. **Browse** to the topic or exam you are interested in. +3. **Download** the files you need or add them to your own Drive. +4. **Practice:** Try to solve the questions on your own. +5. **Verify:** Check your answers against the provided solutions (if available). +6. **Identify Gaps:** Use these questions to find areas where you need more study. + +## Disclaimer ⚠️ + +The questions provided here are for **educational and practice purposes only**. They have been collected from various public sources. There is no guarantee of their accuracy, completeness, or relevance to any specific future examination. The solutions (if provided) are for reference and may contain errors. Always cross-verify with trusted academic sources. + +## How to Contribute 🤝 + +Contributions are welcome! If you have more PYQs, better solutions, or suggestions: + +* **Contact the maintainer** of this repository/drive. +* (If applicable) Upload your files to a "Contributions" folder within the drive. +* (If this is a Git repo) Open an **Issue** to report an error or suggest an improvement. --- -**Contributor:** YourGitHubUsername +**Contributor:** bigturtle679 diff --git a/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md b/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md index 730ecb1..18d4692 100644 --- a/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md +++ b/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md @@ -1,18 +1,58 @@ -# 📝 Previous Year Questions (PYQs) - -This is a placeholder for PYQs. Students can add: -- Mid Semester exam papers -- End Semester exam papers -- Question papers from last 3-5 years -- Solutions to PYQs (if available) -- Important questions list - -**How to contribute:** -1. Upload PYQ PDFs to Google Drive -2. Make it shareable ("Anyone with link can view") -3. Add the link in the subject's README.md -4. Format: `[📝 Mid Sem 2024](https://drive.google.com/...)` -5. Add your GitHub username as contributor +# Machine Learning: Previous Year Questions (PYQs) + +## Overview 📖 + +This repository/folder serves as a central hub for a curated collection of **Previous Year Questions (PYQs)** related to Machine Learning. The primary goal is to provide a resource for students, enthusiasts, and professionals preparing for exams, interviews, or just looking to test their knowledge. + +All files are hosted externally for easy access. + +## Access the Files 🚀 + +All question papers, notes, and solutions are maintained in a shared drive. + +**👉 Get all files here: https://drive.google.com/drive/u/0/folders/1UvUnZFnp7Yht-Zs3R9VB7rTYaBpzAZih + +*(Note: Please ensure the link is set to "Anyone with the link can view" or similar public sharing permissions.)* + +--- + +## What's in the Drive? 📁 + +The Drive folder is organized to make finding relevant questions as easy as possible. You will find: + +* **/Topics**: Questions sorted by specific ML topics. + * `Supervised_Learning/` (Linear Regression, + Logistic Regression, SVM, etc.) + * `Unsupervised_Learning/` (K-Means, PCA, etc.) + * `Neural_Networks/` (ANN, CNN, RNN, etc.) + * `Model_Evaluation/` (Metrics, Cross-Validation, etc.) +* **/Exams**: Questions sorted by the specific examination or university. + * `University_XYZ_Midterm_2023/` + * `Final_Exam_2022/` +* **/Solutions** (Optional): A separate directory containing solved papers or answer keys. + +*(You can customize this section to match your actual folder structure in the drive.)* + +## How to Use This Resource 💡 + +1. **Click the link** above to open the shared Drive folder. +2. **Browse** to the topic or exam you are interested in. +3. **Download** the files you need or add them to your own Drive. +4. **Practice:** Try to solve the questions on your own. +5. **Verify:** Check your answers against the provided solutions (if available). +6. **Identify Gaps:** Use these questions to find areas where you need more study. + +## Disclaimer ⚠️ + +The questions provided here are for **educational and practice purposes only**. They have been collected from various public sources. There is no guarantee of their accuracy, completeness, or relevance to any specific future examination. The solutions (if provided) are for reference and may contain errors. Always cross-verify with trusted academic sources. + +## How to Contribute 🤝 + +Contributions are welcome! If you have more PYQs, better solutions, or suggestions: + +* **Contact the maintainer** of this repository/drive. +* (If applicable) Upload your files to a "Contributions" folder within the drive. +* (If this is a Git repo) Open an **Issue** to report an error or suggest an improvement. --- **Contributor:** YourGitHubUsername From ee3da13cb301fbb1fa33b77faee2cbf24097fede Mon Sep 17 00:00:00 2001 From: bigturtle679 Date: Sat, 25 Oct 2025 09:18:49 +0530 Subject: [PATCH 2/4] Changes made --- BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md | 70 +++++---------------- 1 file changed, 15 insertions(+), 55 deletions(-) diff --git a/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md b/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md index 18d4692..730ecb1 100644 --- a/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md +++ b/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md @@ -1,58 +1,18 @@ -# Machine Learning: Previous Year Questions (PYQs) - -## Overview 📖 - -This repository/folder serves as a central hub for a curated collection of **Previous Year Questions (PYQs)** related to Machine Learning. The primary goal is to provide a resource for students, enthusiasts, and professionals preparing for exams, interviews, or just looking to test their knowledge. - -All files are hosted externally for easy access. - -## Access the Files 🚀 - -All question papers, notes, and solutions are maintained in a shared drive. - -**👉 Get all files here: https://drive.google.com/drive/u/0/folders/1UvUnZFnp7Yht-Zs3R9VB7rTYaBpzAZih - -*(Note: Please ensure the link is set to "Anyone with the link can view" or similar public sharing permissions.)* - ---- - -## What's in the Drive? 📁 - -The Drive folder is organized to make finding relevant questions as easy as possible. You will find: - -* **/Topics**: Questions sorted by specific ML topics. - * `Supervised_Learning/` (Linear Regression, - Logistic Regression, SVM, etc.) - * `Unsupervised_Learning/` (K-Means, PCA, etc.) - * `Neural_Networks/` (ANN, CNN, RNN, etc.) - * `Model_Evaluation/` (Metrics, Cross-Validation, etc.) -* **/Exams**: Questions sorted by the specific examination or university. - * `University_XYZ_Midterm_2023/` - * `Final_Exam_2022/` -* **/Solutions** (Optional): A separate directory containing solved papers or answer keys. - -*(You can customize this section to match your actual folder structure in the drive.)* - -## How to Use This Resource 💡 - -1. **Click the link** above to open the shared Drive folder. -2. **Browse** to the topic or exam you are interested in. -3. **Download** the files you need or add them to your own Drive. -4. **Practice:** Try to solve the questions on your own. -5. **Verify:** Check your answers against the provided solutions (if available). -6. **Identify Gaps:** Use these questions to find areas where you need more study. - -## Disclaimer ⚠️ - -The questions provided here are for **educational and practice purposes only**. They have been collected from various public sources. There is no guarantee of their accuracy, completeness, or relevance to any specific future examination. The solutions (if provided) are for reference and may contain errors. Always cross-verify with trusted academic sources. - -## How to Contribute 🤝 - -Contributions are welcome! If you have more PYQs, better solutions, or suggestions: - -* **Contact the maintainer** of this repository/drive. -* (If applicable) Upload your files to a "Contributions" folder within the drive. -* (If this is a Git repo) Open an **Issue** to report an error or suggest an improvement. +# 📝 Previous Year Questions (PYQs) + +This is a placeholder for PYQs. Students can add: +- Mid Semester exam papers +- End Semester exam papers +- Question papers from last 3-5 years +- Solutions to PYQs (if available) +- Important questions list + +**How to contribute:** +1. Upload PYQ PDFs to Google Drive +2. Make it shareable ("Anyone with link can view") +3. Add the link in the subject's README.md +4. Format: `[📝 Mid Sem 2024](https://drive.google.com/...)` +5. Add your GitHub username as contributor --- **Contributor:** YourGitHubUsername From 4072911567c0e1f50d0f6ddc0b6624e9672d7ee7 Mon Sep 17 00:00:00 2001 From: bigturtle679 Date: Sat, 25 Oct 2025 09:35:44 +0530 Subject: [PATCH 3/4] Changes made --- BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md | 73 ++++++++++++++++----- 1 file changed, 58 insertions(+), 15 deletions(-) diff --git a/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md b/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md index 730ecb1..b426601 100644 --- a/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md +++ b/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md @@ -1,18 +1,61 @@ -# 📝 Previous Year Questions (PYQs) - -This is a placeholder for PYQs. Students can add: -- Mid Semester exam papers -- End Semester exam papers -- Question papers from last 3-5 years -- Solutions to PYQs (if available) -- Important questions list - -**How to contribute:** -1. Upload PYQ PDFs to Google Drive -2. Make it shareable ("Anyone with link can view") -3. Add the link in the subject's README.md -4. Format: `[📝 Mid Sem 2024](https://drive.google.com/...)` -5. Add your GitHub username as contributor +# Deep Learning: Previous Year Questions (PYQs) + +## Overview 🧠 + +This repository/folder serves as a central hub for a curated collection of **Previous Year Questions (PYQs)** for **Deep Learning**. + +The primary goal is to provide a resource for students, researchers, and professionals preparing for university exams, certification tests (e.g., TensorFlow, PyTorch), or technical interviews. + +All files are hosted externally for easy access. + +## Access the Files 🚀 + +All question papers, notebooks, and solutions are maintained in a shared drive. + +**👉 Get all files here: https://drive.google.com/drive/u/0/folders/1UvUnZFnp7Yht-Zs3R9VB7rTYaBpzAZih + +*(Note: Please ensure the link is set to "Anyone with the link can view" or similar public sharing permissions.)* + +--- + +## What's in the Drive? 📁 + +The Drive folder is organized by key topics within Deep Learning. You will find: + +* **/Topics**: Questions sorted by specific units. + * `Neural_Network_Basics/` (Backpropagation, Activation Functions, Gradient Descent, etc.) + * `Convolutional_Networks_CNN/` (Convolutions, Pooling, Architectures like VGG, ResNet) + * `Sequential_Models_RNN/` (RNN, LSTM, GRU, Sequence-to-Sequence) + * `Transformers/` (Attention, Self-Attention, BERT, GPT, etc.) + * `Generative_Models/` (GANs, VAEs, Diffusion Models) + * `Optimization_and_Regularization/` (Adam, RMSprop, Dropout, Batch Norm) +* **/Exams**: Full question papers sorted by the examination or university. + * `University_XYZ_Final_2023/` + * `DL_Certification_Mock_Test/` +* **/Solutions_and_Notebooks** (Optional): Solved papers or `.ipynb` (Jupyter/Colab) notebooks with practical implementations. + +*(You can customize this section to match your actual folder structure in the drive.)* + +## How to Use This Resource 💡 + +1. **Click the link** above to open the shared Drive folder. +2. **Browse** to the topic or exam you are interested in. +3. **Download** the files you need (especially `.pdf` papers or `.ipynb` notebooks). +4. **Practice:** Try to solve the questions, both theoretical (proofs, concepts) and practical (coding). +5. **Verify:** Check your answers against the provided solutions. +6. **Identify Gaps:** Use these questions to find areas where you need more study. + +## Disclaimer ⚠️ + +The questions provided here are for **educational and practice purposes only**. They have been collected from various public sources. There is no guarantee of their accuracy, completeness, or relevance to any specific future examination. The solutions (if provided) are for reference and may contain errors. Always cross-verify with trusted academic sources and official documentation. + +## How to Contribute 🤝 + +Contributions are welcome! If you have more PYQs, better solutions, or suggestions: + +* **Contact the maintainer** of this repository/drive. +* (If applicable) Upload your files to a "Contributions" folder within the drive. +* (If this is a Git repo) Open an **Issue** to report an error or suggest an improvement. --- **Contributor:** YourGitHubUsername From ac94597a7a543988a4f92ac9f3a4f3749cfcbe77 Mon Sep 17 00:00:00 2001 From: bigturtle679 Date: Sat, 25 Oct 2025 09:39:15 +0530 Subject: [PATCH 4/4] Changes MAde --- .../Deep_Learning/PYQs/SAMPLE_PYQ.md | 41 ++++++----- BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md | 73 ++++--------------- 2 files changed, 37 insertions(+), 77 deletions(-) diff --git a/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md b/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md index c5743d0..31a6228 100644 --- a/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md +++ b/BE/Semester_8/Deep_Learning/PYQs/SAMPLE_PYQ.md @@ -1,14 +1,16 @@ -# Machine Learning: Previous Year Questions (PYQs) +# Deep Learning: Previous Year Questions (PYQs) -## Overview 📖 +## Overview 🧠 -This repository/folder serves as a central hub for a curated collection of **Previous Year Questions (PYQs)** related to Machine Learning. The primary goal is to provide a resource for students, enthusiasts, and professionals preparing for exams, interviews, or just looking to test their knowledge. +This repository/folder serves as a central hub for a curated collection of **Previous Year Questions (PYQs)** for **Deep Learning**. + +The primary goal is to provide a resource for students, researchers, and professionals preparing for university exams, certification tests (e.g., TensorFlow, PyTorch), or technical interviews. All files are hosted externally for easy access. ## Access the Files 🚀 -All question papers, notes, and solutions are maintained in a shared drive. +All question papers, notebooks, and solutions are maintained in a shared drive. **👉 Get all files here: https://drive.google.com/drive/u/0/folders/1UvUnZFnp7Yht-Zs3R9VB7rTYaBpzAZih @@ -18,18 +20,19 @@ All question papers, notes, and solutions are maintained in a shared drive. ## What's in the Drive? 📁 -The Drive folder is organized to make finding relevant questions as easy as possible. You will find: +The Drive folder is organized by key topics within Deep Learning. You will find: -* **/Topics**: Questions sorted by specific ML topics. - * `Supervised_Learning/` (Linear Regression, - Logistic Regression, SVM, etc.) - * `Unsupervised_Learning/` (K-Means, PCA, etc.) - * `Neural_Networks/` (ANN, CNN, RNN, etc.) - * `Model_Evaluation/` (Metrics, Cross-Validation, etc.) -* **/Exams**: Questions sorted by the specific examination or university. - * `University_XYZ_Midterm_2023/` - * `Final_Exam_2022/` -* **/Solutions** (Optional): A separate directory containing solved papers or answer keys. +* **/Topics**: Questions sorted by specific units. + * `Neural_Network_Basics/` (Backpropagation, Activation Functions, Gradient Descent, etc.) + * `Convolutional_Networks_CNN/` (Convolutions, Pooling, Architectures like VGG, ResNet) + * `Sequential_Models_RNN/` (RNN, LSTM, GRU, Sequence-to-Sequence) + * `Transformers/` (Attention, Self-Attention, BERT, GPT, etc.) + * `Generative_Models/` (GANs, VAEs, Diffusion Models) + * `Optimization_and_Regularization/` (Adam, RMSprop, Dropout, Batch Norm) +* **/Exams**: Full question papers sorted by the examination or university. + * `University_XYZ_Final_2023/` + * `DL_Certification_Mock_Test/` +* **/Solutions_and_Notebooks** (Optional): Solved papers or `.ipynb` (Jupyter/Colab) notebooks with practical implementations. *(You can customize this section to match your actual folder structure in the drive.)* @@ -37,14 +40,14 @@ The Drive folder is organized to make finding relevant questions as easy as poss 1. **Click the link** above to open the shared Drive folder. 2. **Browse** to the topic or exam you are interested in. -3. **Download** the files you need or add them to your own Drive. -4. **Practice:** Try to solve the questions on your own. -5. **Verify:** Check your answers against the provided solutions (if available). +3. **Download** the files you need (especially `.pdf` papers or `.ipynb` notebooks). +4. **Practice:** Try to solve the questions, both theoretical (proofs, concepts) and practical (coding). +5. **Verify:** Check your answers against the provided solutions. 6. **Identify Gaps:** Use these questions to find areas where you need more study. ## Disclaimer ⚠️ -The questions provided here are for **educational and practice purposes only**. They have been collected from various public sources. There is no guarantee of their accuracy, completeness, or relevance to any specific future examination. The solutions (if provided) are for reference and may contain errors. Always cross-verify with trusted academic sources. +The questions provided here are for **educational and practice purposes only**. They have been collected from various public sources. There is no guarantee of their accuracy, completeness, or relevance to any specific future examination. The solutions (if provided) are for reference and may contain errors. Always cross-verify with trusted academic sources and official documentation. ## How to Contribute 🤝 diff --git a/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md b/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md index b426601..730ecb1 100644 --- a/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md +++ b/BE/Semester_8/Elective_V/PYQs/SAMPLE_PYQ.md @@ -1,61 +1,18 @@ -# Deep Learning: Previous Year Questions (PYQs) - -## Overview 🧠 - -This repository/folder serves as a central hub for a curated collection of **Previous Year Questions (PYQs)** for **Deep Learning**. - -The primary goal is to provide a resource for students, researchers, and professionals preparing for university exams, certification tests (e.g., TensorFlow, PyTorch), or technical interviews. - -All files are hosted externally for easy access. - -## Access the Files 🚀 - -All question papers, notebooks, and solutions are maintained in a shared drive. - -**👉 Get all files here: https://drive.google.com/drive/u/0/folders/1UvUnZFnp7Yht-Zs3R9VB7rTYaBpzAZih - -*(Note: Please ensure the link is set to "Anyone with the link can view" or similar public sharing permissions.)* - ---- - -## What's in the Drive? 📁 - -The Drive folder is organized by key topics within Deep Learning. You will find: - -* **/Topics**: Questions sorted by specific units. - * `Neural_Network_Basics/` (Backpropagation, Activation Functions, Gradient Descent, etc.) - * `Convolutional_Networks_CNN/` (Convolutions, Pooling, Architectures like VGG, ResNet) - * `Sequential_Models_RNN/` (RNN, LSTM, GRU, Sequence-to-Sequence) - * `Transformers/` (Attention, Self-Attention, BERT, GPT, etc.) - * `Generative_Models/` (GANs, VAEs, Diffusion Models) - * `Optimization_and_Regularization/` (Adam, RMSprop, Dropout, Batch Norm) -* **/Exams**: Full question papers sorted by the examination or university. - * `University_XYZ_Final_2023/` - * `DL_Certification_Mock_Test/` -* **/Solutions_and_Notebooks** (Optional): Solved papers or `.ipynb` (Jupyter/Colab) notebooks with practical implementations. - -*(You can customize this section to match your actual folder structure in the drive.)* - -## How to Use This Resource 💡 - -1. **Click the link** above to open the shared Drive folder. -2. **Browse** to the topic or exam you are interested in. -3. **Download** the files you need (especially `.pdf` papers or `.ipynb` notebooks). -4. **Practice:** Try to solve the questions, both theoretical (proofs, concepts) and practical (coding). -5. **Verify:** Check your answers against the provided solutions. -6. **Identify Gaps:** Use these questions to find areas where you need more study. - -## Disclaimer ⚠️ - -The questions provided here are for **educational and practice purposes only**. They have been collected from various public sources. There is no guarantee of their accuracy, completeness, or relevance to any specific future examination. The solutions (if provided) are for reference and may contain errors. Always cross-verify with trusted academic sources and official documentation. - -## How to Contribute 🤝 - -Contributions are welcome! If you have more PYQs, better solutions, or suggestions: - -* **Contact the maintainer** of this repository/drive. -* (If applicable) Upload your files to a "Contributions" folder within the drive. -* (If this is a Git repo) Open an **Issue** to report an error or suggest an improvement. +# 📝 Previous Year Questions (PYQs) + +This is a placeholder for PYQs. Students can add: +- Mid Semester exam papers +- End Semester exam papers +- Question papers from last 3-5 years +- Solutions to PYQs (if available) +- Important questions list + +**How to contribute:** +1. Upload PYQ PDFs to Google Drive +2. Make it shareable ("Anyone with link can view") +3. Add the link in the subject's README.md +4. Format: `[📝 Mid Sem 2024](https://drive.google.com/...)` +5. Add your GitHub username as contributor --- **Contributor:** YourGitHubUsername