Welcome to the repository covering a wide array of topics including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), and Research Projects. This comprehensive collection serves as a hub for exploring various facets of artificial intelligence and research endeavors.
This repository aims to provide a holistic view of cutting-edge technologies and research trends in the fields of Machine Learning, Deep Learning, Computer Vision, NLP, and beyond. Whether you're a novice eager to learn or a seasoned practitioner seeking inspiration, this repository offers a diverse range of projects and resources to cater to your interests and expertise.
Multifaceted Coverage: Dive into a rich spectrum of topics including traditional Machine Learning algorithms, advanced Deep Learning architectures, Computer Vision techniques, NLP applications, and research projects spanning different domains.
Hands-On Projects: Explore practical implementations of algorithms, models, and techniques through hands-on projects, code examples, and Jupyter notebooks, designed to enhance your understanding and foster experimentation.
Research Endeavors: Engage with research projects, papers, datasets, and experiments, providing insights into the latest advancements and methodologies in artificial intelligence and related fields.
Collaborative Environment: Foster collaboration, knowledge sharing, and community engagement through contributions, discussions, and feedback, promoting continuous learning and innovation.
Machine Learning: Implementations of classical and contemporary Machine Learning algorithms for tasks such as regression, classification, clustering, and reinforcement learning.
Deep Learning: Explore advanced Deep Learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and transformer models.
Computer Vision: Delve into Computer Vision projects and techniques for image classification, object detection, image segmentation, facial recognition, and more.
Natural Language Processing: Discover NLP applications such as text classification, sentiment analysis, named entity recognition, machine translation, and text generation.
Research Projects: Engage with research-oriented projects, experiments, and papers addressing contemporary challenges and exploring novel solutions across diverse domains.
Explore the repository's contents, delve into projects and resources aligned with your interests, and leverage the provided materials to enhance your skills and knowledge in Machine Learning, Deep Learning, Computer Vision, NLP, and research endeavors.
Contributions are encouraged and appreciated! Whether it's adding new projects, improving existing content, fixing bugs, or suggesting enhancements, your contributions play a vital role in enriching the repository for the benefit of the community. Please contact me on my skype ID:themushtaq48, email:mushtaqmsit@gmail.com for contribution.
Together, let's make this the best AI learning hub repository! ๐
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Project Title/blog | Description | Notebook | Category | To do List | Resource Link | Completed |
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๐1- Stock Price Prediction using linear regression | Acc=.99, Model=Linear Regression, Techniquest: sklearn, Label enconding, chained equations (MICE) | Regression | 1- Try other regression models | --- | โ | |
๐2- Predict Ads Click Practice Data_Analysis | Acc=.99, Model=Linear Regression, Techniquest: sklearn, Label enconding, chained equations (MICE) | Classification | 1- Try other regression models | --- | --- | |
๐3- linkedIn_auto_jobs_applier_with_AI. | Acc=.99, Model=Linear Regression, Techniquest: sklearn, Label enconding, chained equations (MICE) | Classification | 1- Try other regression models | --- | Pending |
Project Title | Description | Code | Category | To do list | Creator | Added | Completed |
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๐1- Credit Card Fraud Detection | Autoencoders,Keras | Preprocessing | Add more Preprocessing steps | Dr.Mushtaq | 2024-06-08 | Pending |
Project Title | Description | Code | Category | To do list | Creator | Added | Completed |
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๐1- Build a simple image Classifer | Accuracy 13-80%,Model=multilayer perceptron, Keras, | Classification | Try other Deep learning model,CNN,etc | Dr Mushtaq | 2020-09-06 | โ | |
๐2- Convert Color Image to Sketch | gaussian filter,dogding | Filtering | Try technique | Dr.Mushtaq | 2024-04-20 | โ | |
๐3- Building a Real Time Emotion Detection with Python | CNN=57.67,Kera | Classification | -Real time detection not working(Need to correct in colab)- Try others DL techniqueS | Dr.Mushtaq | 2024-04-27 | โ | |
๐4- Age, Gender and Race Prediction | Age Prediction=CNN= ACC=.91,Gender Prediction=CNN Acc=,86, Ethnicity Prediction CNN Acc=0.74,Kera | Classification | -Real time detection not working(Need to correct in colab)- Try others DL techniqueS | Dr.Mushtaq | 2024-06-2 | โ | |
๐5- Image Preprocessing using Python | Python,scikit-image | Preprocessing | Add more Preprocessing steps | Dr.Mushtaq | 2024-06-08 | โ | |
๐6- Traffic Sign Classification with Keras and Deep Learning | Python,scikit-image,OpenCV,NumPy, CNN Test acc:.97 | Classification | Add more Preprocessing steps and Computer Vision methods | Dr.Mushtaq | 2024-08-16 | โ |
Project Title/blog | Description | NoteBook | Category | Todo List | Creator | Added | Completed |
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๐1- Spam Detection using Machine Learning Methods | Naive Bayes=95-97%, SVM=98-99, CountVectorizer,Scikit-learn,Grid Search CV | Text Classification | -try other classification model 2) Try to text preprocessing method stop word etc | Dr.Mushtaq | 2024-04-12 | โ | |
๐2-Hate Speech Detection with Machine Learning | DT=75%,CountVectorizer ,Scikit-learn | Text Classification | -try other classification model 2) Try to text preprocessing method stop word etc | Dr Mushtaq | 2024-04-21 | โ | |
๐3-Detecting Sports Content with Machine Learning | SVM=66%,CountVectorizer ,Scikit-learn | Text Classification | -try other classification model 2) Try to text preprocessing method stop word etc | Dr Mushtaq | 2024-04-28 | โ | |
๐4-Personality Prediction Through CV | SVM=66%,CountVectorizer ,Scikit-learn | Text Classification | -try other classification model 2) Try to text preprocessing method stop word etc | Dr Mushtaq | 2024-04-28 | Pending | |
๐5-Using Machine Learning to Predict Movie Reviews | Gaussian = 0.7843,Multinomial = 0.831,, Bernoulli = 0.8386 | Sentiment Analysis | Apply other DL and ML with new processing steps | Dr Mushtaq | 2024-05-05 | โ | |
๐6-Text-Preprocessing-1 | Tokenization,stemming,lemmatization,stopword,postagging | Preprocessing | -- | Dr Mushtaq | 2024-05-26 | โ | |
๐7-Important Python script for NLP Task | Text to Spech | Script | -- | Dr Mushtaq | 2024-05-26 | inProcess | |
๐8-Stress Detection with Machine Learning | Text to Spech | Script | -- | Dr Mushtaq | 2024-05-26 | Pending | |
๐9-Next Word Prediction Model | Text to Spech | Script | -- | Dr Mushtaq | 2024-05-26 | Pending | |
๐10-Emotion Detection in Text | TF-IDF (naive bayes -0.50,svm 0.56,logistic regression 0.5,random forest 0.552 ) & Count Vectors(naive bayes -0.76,svm 0.79,logistic regression 0.79 ) | Sentiment Analysis | -- | Dr Mushtaq | 2024-9-16 | โ | |
๐10-Auto Apply for Job with AI | Text to Spech | Script | -- | Dr Mushtaq | 2024-05-26 | Pending | |
๐11-Chatbot in Healthcare | Text to Spech | Script | -- | Dr Mushtaq | 2024-05-26 | Pending | |
๐12-File Organizer | Text to Spech | Script | -- | Dr Mushtaq | 2024-05-26 | Pending | |
๐13-Plagiarism-checker-Python | Text to Spech | Script | -- | Dr Mushtaq | 2024-05-26 | Pending |
Project Title | Description | Code | Created | Completed |
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๐1-Generating QR Code in Python | Python,qrcode | Saad Abbasi | โ | |
๐1-Important Python Script | Python,qrcode | Saad Abbasi | โ |
Project Title | Datasets | Code |
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1-Building education chatbot for decreasing instructor workload in e-learning system | Dataset |
f1 | precision | recall | accuracy | training_time | inference_time | |
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NB | 0.830188679245283 | 0.8461538461538461 | 0.8148148148148148 | 0.8085106382978723 | 0.0032272338867187 | 0.0007801055908203 |
LR | 0.8518518518518519 | 0.8846153846153846 | 0.8214285714285714 | 0.8297872340425532 | 0.0356471538543701 | 0.0002150535583496 |
KNN | 0.7058823529411765 | 0.6923076923076923 | 0.72 | 0.6808510638297872 | 0.0005688667297363 | 0.0972669124603271 |
SVM | 0.8518518518518519 | 0.8846153846153846 | 0.8214285714285714 | 0.8297872340425532 | 0.0274648666381835 | 0.0030479431152343 |
XGBoost | 0.9122807017543859 | 1.0 | 0.8387096774193549 | 0.8936170212765957 | 0.241973876953125 | 0.0040738582611083984 |
RoBERTa | 0.9230769230769231 | 0.9230769230769231 | 0.9230769230769231 | 0.9148936170212766 | 24968.250607967377 | 68.44634509086609 |
##Alogrithems - DL0101EN-3-1-Regression-with-Keras-py-v1.0.ipynb - DL0101EN-3-2-Classification-with-Keras-py-v1.0.ipynb - Keras - Tutorial - Happy House v1.ipynb - Keras_for_Beginners_Implementing_a_Convolutional_Neural_Network - Keras_for_Beginners_Building_Your_First_Neural_Network.ipynb
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Machine Learning 2. Movie_Recommender_9_26_2020.ipynb 3. Predict_IPL_Winner_with_ML.ipynb 4. Credit_Card_Fraud_Detection_DT_and_RF.ipynb 5. President_Heights_exploratory_data.ipynb 6. Birth Rate Analysis 7. Data Science Project on Area and Population 8. How to Save a Machine Learning Model? 9. Hate Speech Detection with Machine Learning
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Natural Language Processing 2. Next_Word_Prediction 3. Summarize_Text_with_Machine_Learning 4. Chatbot_using_Python.ipynb 5. Text_Classification 6. End-to-End Spam Detection with Python 7. Fake_News_Classifier_using_Bidirectional_LSTM.ipynb
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Project Need to Implement
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How to Detect Passive and Active Voice in Your Writing Using an LSTM
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UBER RIDES PREDICTION USING MACHINE LEARNING | Complete Project
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Predict Ads Click โ Practice Data Analysis and Logistic Regression Prediction
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Data Science Real-World Use Cases - Hands On PythonYour progress
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Predict The Future Price of Etherium Using Python & Machine Learning
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Machine Learning project : Cricket Score prediction using Python
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Machine Learning Projects | using python | with code | for college students
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Face Mask Detection using Python, Keras, OpenCV and MobileNet | Detect masks real-time video streams
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10 Best Data Science Projects to Get Hired and You Must Know in 2021
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Wine Recommender System Using Principal Component Analysis- Python
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Deep Learning Algorithms For Solving Advanced Mathematical Problems
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Video to Text Description Using Deep Learning and Transformers | COOT
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Forecasting the power generated by a solar plant using Neural Designer
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https://www.neuraldesigner.com/learning/examples/solar-power-generation
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How I Built and Deployed a Fun Serverless Machine Learning App
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20 Machine Learning Projects on Future Prediction with Python
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Data Science Project on Youtube Trending Videos Analysis with Python
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500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
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Build a Personal AI Trainer| OpenCV Python 2021 | Computer Vision
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Smart Attendance Management System Based On Face Recognition
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Face Recognition Authentication in Flutter using TensorFlow & Firebase ML
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Face Recognition Authentication in Flutter using TensorFlow & Firebase ML
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Machine learning project| | Student exam mark prediction using python|
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Machine Learning Tutorial with Turi Create and Python (Diabetes Risk Prediction)
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Machine Learning Project : Weather prediction using Python ( Naรฏve Bayes )
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Build a Grammar Correction Python App with Gramformer and Gradio
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YouTube Recommendation System โ Machine Learning Project with Source Code
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Important Website For Projects
- dataspoof
- blobcity
- data-flair.training
- ai-techsystems
- Data Science Tutorial
- Data Science Tutorial
- Top 10 most promising AI
- Graph Algorithms
- Murtaza's Workshop - Robotics and AI
- projectsbasedlearning
- laconicml
- Machine Learning Hub
- techprofree
- Mathematics behind Data Science
- Machine Learning Projects
- 7 Computer Vision Projects for All Levels
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Fork the repository
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Clone your forked repository using terminal or gitbash.
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Make changes to the cloned repository
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print("Start contributing for Projects")
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Make sure you do not copy codes from external sources because that work will not be considered. Plagiarism is strictly not allowed.
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You can only work on issues that have been assigned to you.
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If you want to contribute the algorithm, it's preferrable that you create a new issue before making a PR and link your PR to that issue.
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If you have modified/added code work, make sure the code compiles before submitting.
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Strictly use snake_case (underscore_separated) in your file_name and push it in correct folder.
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Do not update the README.md.
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