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 |