The repository contains the list of awesome✨ & cool Python Exercises!
1. Fork this repository.
2. Clone the forked repository.
git clone https://github.com/Durgesh-Vaigandla/20CS0902-ARTIFICIAL-INTELLIGENCE-LAB
3. Navigate to the project directory.
cd 20CS0902-ARTIFICIAL-INTELLIGENCE-LAB
4. MAKE A NEW FILES WITH YOUR EXPERIMENT NAME INSIDE 20CS0902-ARTIFICIAL-INTELLIGENCE-LAB.
5. Also Add the experiment in README file.
6. Create a new branch.
git checkout -b <your_branch_name>
7. Add & Commit your changes.
git add .
git commit -m "<your_commit_message>"
7. Push your local branch to the remote repository.
git push -u origin <your_branch_name>
8. Create a Pull Request!
Congratulations! Sit and relax till we review your PR, you've made your contribution to (https://github.com/Durgesh-Vaigandla/20CS0902-ARTIFICIAL-INTELLIGENCE-LAB)
| Experiment | Description | Code |
|---|---|---|
| List Operations | Implement various operations on lists such as Nested List, Length, Concatenation, Membership, Iteration, Indexing, and Slicing. | EXP-1(a) Code |
| List Methods | Implement List methods like Add, Append, Extend & Delete. | EXP-1(b) Code |
| Hangman Game | Implementation of Hangman game using Python. | EXP-2 Code |
| Artificial Neural Network | Build an Artificial Neural Network using the Back propagation algorithm and test it with appropriate datasets. | EXP-3 Code |
| Stop Words Removal | Python program to remove stop words from a given passage in a text file using NLTK. | EXP-4 Code |
| Stemming Implementation | Implement stemming for a given sentence using NLTK. | EXP-5 Code |
| Parts of Speech Tagging | Python program to perform Parts of Speech (POS) tagging for a given sentence using NLTK. | EXP-6 Code |
| Lemmatization | Implement Lemmatization using NLTK. | EXP-7 Code |
| Text Classification | Python program for Text Classification for a given sentence using NLTK. | EXP-8 Code |
| Image Manipulation | Read an image, save it in grayscale, and rotate the image before writing it to the disk. | EXP-9 Code |
| Connected Component Labelling | Apply connected component labelling on an image to count the total number of white objects. | EXP-10 Code |
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Contributions to this repository are welcome! Please feel free to fork this project and submit pull requests to enhance its functionality or fix any issues. If you have any suggestions or find bugs, please open an issue.
