| Title | Keywords | Dataset |
|---|---|---|
| Airline-Passenger-Prediction-RNN-LSTM | Neural Network-Recurrent Neural Network (RNN)-Long Short Term Memory (LSTM)-Time Series data | AirPassengers |
| Annual-Medical-Expense-Prediction-Linear-Regression | Linear Regression-SGDRegressor-Data Analysis-Visualization-Correlation Analysis-Feature Selection(Brute)-Multiple Regression-Feature Scaling | Medical Cost Personal Datasets |
| Bank-Customer-Retainment-Prediction-ANN | Artificial Neural Network(ANN)-Classification-Grid Search | Churn Modelling |
| Beer-Score-Prediction-Multiple-Linear-Regression | Linear Regression | Beer Scores |
| Car-Resale-Value-Prediction | Regression-User_Interface-Flask-IBM_Cloud-IBM_Watson-HTML-CSS-Wandb | Custom Dataset |
| Chatbot-Knowledge-Graph-RDF | RDF-Knowledge Graph | Custom Dataset |
| Chatbot-Text-ANN | Artificial Neural Network (ANN)-Natural Language Processing (NLP)-Natural Language Toolkit (NLTK)-Tkinter-Flask | Custom Dataset |
| Chatbot-Voice-ANN | Artificial Neural Network (ANN)-Natural Language Processing (NLP)-Google Text To Speech(GTTS)-Speech Recognition-Streamlit | Custom Dataset |
| Classification-Cifar10-Dataset-CNN | Classification-Image-Convolutional Neural Network(CNN) | Cifar10 |
| Data-Analysis-Stack-Overflow-Survey-2020 | Exploratory Data Analysis(EDA)-Cleaning and Preparing-Visualization-Q&A | Stack Overflow Annual Developer Survey |
| Diabetic-Prediction-Logistic-Regression | Classification-Logistic Regression-Visualization-Analysis-Feature Selection | Diabetics |
| Dogs-Cats-Classification-CNN | Augmentation-Transfer Learning-VGG16-Image-Convolutional Neural Network(CNN)-Checkpoint-Early Stopping-Classification | Custom Dataset |
| Drug-Stores-Sales-Prediction-XGBoost | XGBoost-Regression-KFold-Feature Engineering-Feature Importance-Hyper Parameter Tuning | Rossmann Store Sales |
| Dumb-Dataset-Linear-Regression | Linear Regression | Custom Dataset |
| Emotion-Recognition-HaarCascade | Classification-Convolutional Neural Network(CNN)-Image-Video | Custom Dataset |
| Face-Detection-HaarCascade | Detection-OpenCV-HaarCascade-Image-Video | Custom Dataset |
| Face-Recognition-DLIB | Recognition-OpenCV-Image-Video | Custom Dataset |
| Face-Recognition-LBPH-DLIB | Recognition-OpenCV-LBPH-DLIB-Image-Video | Custom Dataset |
| Face-Recognition-LBPH | Recognition-LBPH-Image-Video-OpenCV | Custom Dataset |
| Fashion-Image-Classification-CNN | Convolutional Neural Network (CNN) - Image - Classification | Fashion Product Images Dataset |
| Fashion-MNIST-Classification-ANN | Classification-Image-Early Stop-Tensorflow-Artificial Neural Network(ANN)-Keras | Fashion MNIST |
| Fashion-MNIST-Classification-CNN | Classification-Image-Convolutional Neural Network(CNN)-Early Stop-Tensorflow-Keras | Fashion MNIST |
| Fly-Dubai-Stationarity-Analysis | Statistics-Time Series Data-Stationarity-Augmented Dickey Fuller Test (ADF)-Kwiatkowski Phillips Schmidt Shin Test (KPSS)-Zivot Andrews Test | Custom Dataset |
| Gesture-And-Action-Recognition | Recognition-Image-Video-OpenCV-Caffe Framework | Custom Dataset |
| Google-Stock-Price-Prediction-RNN | Recurrent Neural Network(RNN)-Long Short Term Memory(LSTM)-Time Series | Google Stock Price |
| Homer-Bart-Classification-ANN-Feature-Extraction-CNN-Transfer-Learning | Artificial Neural Network(ANN)-Convolutional Neural Network(CNN)-Feature Extraction-Transfer Learning-Classification-Image-ResNet50-Image | Custom Dataset |
| Iris-Classification-KNearestNeighbors | Classification-KNearest Neighbour(KNN) | Iris Dataset |
| Multi-Collinearity-Handling-PCA | Principal Component Analysis(PCA)-Multi Collinearity | Diamonds |
| Object-Detection-YOLO | Darknet-YOLO-Detection-Parameter Tuning-Image-Video | Custom Dataset |
| Object-Tracker-CSRT | OpenCV-CSRT-Video | Custom Dataset |
| Object-Tracker-KCF | OpenCV-Video0KCF | Custom Dataset |
| Profit-Prediction-Linear-Regression | Linear Regression | Custom Dataset |
| Rain-Prediction-Decision-Tree-Random-Forests | Decision Tree-Random Forest-Classification-Feature Importance-Hyperparameter Tuning-Overfitting | Rain in Australia |
| Rain-Prediction-Decision-Tree | Classification-Decision Tree-Feature Importance-Hyperparameter Tuning-Overfitting | Rain in Australia |
| Rain-Prediction-Logistic-Regression | Classification-Logistic Regression-Exploratory Data Analysis(EDA)-Visualization | Rain in Australia |
| Real-Estate-Price-Prediction-Linear-Regression | Linear Regression-Analysis-Visualization | Real Estate |
| Salary-Prediction-Linear-Regression | Linear Regression | Salary Data |
| Salary-Prediction-Polynomial-Regression | Ploynomial Regression | Salary Data |
| Salary-Prediction-SVR | Regression-Support Vector Machine(SVM)-Support Vector Regression (SVR) | Salary Data |
| Sentiment-Prediction-of-Amazon-Customer | Natural Language Processing (NLP)-Classification-Logistic Regression-Grid Search CV-Up Sampling | Amazon Reviews for Sentiment Analysis |
| Social-Network-Ad-Purchase-Prediction-Decision-Tree | Classification-Decision Tree | Social Network Ads |
| Social-Network-Ad-Purchase-Prediction-KNN | Classification-KNearest Neighbour (KNN) | Social Network Ads |
| Social-Network-Ad-Purchase-Prediction-Kernel-SVM | Classification-Kernel Support Vector Machine (Kernel SVM)-Support Vector Classification (SVC) | Social Network Ads |
| Social-Network-Ad-Purchase-Prediction-Logistic-Regression | Classification-Logistic Regression-Model Intelligence | Social Network Ads |
| Social-Network-Ad-Purchase-Prediction-Naive-Bayes | Classification-Naive Bayes-Gaussian Naive Bayes (GaussianNB) | Social Network Ads |
| Social-Network-Ad-Purchase-Prediction-Random-Forest | Classification-Random Forest | Social Network Ads |
| Social-Network-Ad-Purchase-Prediction-SVM | Classification-Support Vector Machine(SVM)-Support Vector Clasification (SVC) | Social Network Ads |
| Startup-Profit-Prediction-Multiple-Linear-Regression | Linear Regression | 50 Startups |
| Titanic-Classification-AdaBoost-GradientBoosting | Classification-Gradient Boosting-AdaBoost-KFold-Grid Search CV | Titanic Dataset |
| Titanic-Survivors-Prediction-Random-Forest-Classifier | Classifier-Random Forest | Titanic Dataset |
| USA-Housing-Price-Prediction-Linear-Regression | Linear Regression-Visualization-Exploratory Data Analysis(EDA) | USA House Prices |
| Various-Object-Detection | HaarCascade-Object Detection-OpenCV-Convolutional Neural Network (CNN)-Image-Video-HOG | Custom Dataset |
| WHO-Life-Expectancy-Regression | Linear Regression-KFold-Grid Search CV-Decision Tree-Random Forest-Lasso Regression-XGBBoost-Data Cleaning-Analysis-Feature Engineering | Life Expectancy (WHO) |
| Weight-Prediction-Simple-Linear-Regression | Linear Regression | Weight Height Dataset |
| Title | Keywords | Dataset |
|---|---|---|
| Anime-Face-Generation-GAN | Image-Generative Adversarial Network (GAN)-Torch-Wandb-Deep Neural Network(DNN) | Anime GAN Lite |
| Celeba-Face-Generation-GAN | Image-Generative Adversarial Network (GAN)-Torch-Wandb-Deep Neural Network(DNN) | CelebFaces Attributes (CelebA) Dataset |
| Clustering-Fashion-Dataset | Principal Component Analysis (PCA)-Clustering-KMeans | Fashion Product Images Dataset |
| Clustering-Mall-Customers-Hierarchical | Clustering-Agglomerative Clustering-Dendogram-Hierarchical | Mall Customer Segmentation Data |
| Clustering-Mall-Customers-KMeans | Clustering-Elbow Method-KMeans | Mall Customer Segmentation Data |
| Deep-Dream | Image-Convolutional Neural Network (CNN)-Transfer Learning-InceptionV3 | Custom Dataset |
| Encode-Decode-Fashion-MNIST-Convolutional-Autoencoders | Convolution-Encode-Decode-Image | Fashion MNIST |
| Encode-Decode-MNIST-Digits-Autoencoders | Artificial Neural Network(ANN)-Encode-Decode-Image | Fashion MNIST |
| Fashion-Generation-GAN | Artificial Neural Network(ANN)-Generative Adversarial Network (GAN)-Image-Wandb | Fashion Product Images Dataset (Small) Fashion Product Images Dataset (Big) |
| Fashion-MNIST-Conditional-GAN | Conditional Generative Adversarial Network (CGAN)-Image-MNIST-Fashion | Fashion MNIST |
| Generating-Images-From-Text-Transfer-Learning-CLIP | CLIP-Generative Adversarial Network (GAN)-Image-Video | Custom Dataset |
| Iris-Clustering-Dimensionality-Reduction | Dimensionality Reduction-KMeans-DBScan-Principal Component Analysis (PCA)-Elbow Method | Iris Dataset |
| MNIST-Digits-GAN | Image-Generative Adversarial Network (GAN)-Torch-Wandb-Deep Neural Network(DNN) | MNIST Digits |
| Shop-Products-Association-Apriori | Association Rule-Apriori | Market Basket Optimisation |
| Shop-Products-Association-Eclat | Association Rule-Eclat | Market Basket Optimisation |
| Style-Transfer | Style Transfer-Transfer Learning-VGG19-Imagenet-Deep Neural Network(DNN) | Custom Dataset |
| Title | Keywords | Dataset |
|---|---|---|
| Clustering-Classification-Fashion Dataset | Clustering-Classification-Image-VGG16-Transfer Learning-Keras-KMeans-Principal Component Analysis (PCA)-Convolutional Neural Network (CNN) | Fashion Product Images Dataset |
| Title | Keywords | Dataset |
|---|---|---|
| Upper-Confidence-Bound | Upper Confidence Bound (UCB) | Custom Dataset |