This project teaches Deep Neural Networks (DNNs) using a dataset of 86,000 businesses. Participants will learn key conce...

This project shows how analytics and AI increase profit and reduce risk in player selection by using linear regression t...

This project builds an XGBoost Regressor to predict healthcare costs, ensuring insurance profitability. We'll compare it...

Our Cervical Cancer Analysis project leverages the power of EfficientNetB0 to accurately classify different types of cer...

Skin Cancer Detection project leverages advanced deep learning models, including CNN, DenseNet121, and EfficientNetB4, t...

Our Blood Cell Classification project uses CNN, EfficientNetB4, and VGG16 models to correctly sort blood cell images. Th...

Glaucoma Detection Using Deep Learning uses AI to find early signs of glaucoma in eye images. This helps doctors diagnos...

Our project uses deep learning to detect leaf diseases from images. By training models like VGG16 and EfficientNet on a...

This tutorial on Vegetable Classification using Machine Learing, guides you through automating the sorting process, impr...

Learn how to implement polynomial regression to capture complex patterns in data. Discover applications in finance, heal...

Accurate loan eligibility prediction with machine learning, applying SMOTE, data processing, and Random Forest for fair...

Learn retail sales prediction with machine learning. This project builds regression models to analyze sales trends and d...

Build and evaluate regression models (Linear, Lasso, Ridge) to predict laptop prices with effective data preprocessing a...

Predict customer churn with Decision Trees! Learn data cleaning, SMOTE, and model evaluation using Python. Compare Decis...

Build a model to predict house prices using Linear Regression. Understand data cleaning, feature selection, and model ev...

Preprocess data, engineer features, and apply models like Random Forest or XGBoost. Evaluate performance and use LIME/SH...

Analyze customer reviews with NLP, sentiment analysis, topic modeling, and K-Means clustering to uncover trends, and ins...

Develop a hybrid recommendation system using collaborative and content-based filtering with LightFM for personalized pro...

Understand time series forecasting with Linear Regression, ARIMA, and anomaly detection. Learn feature engineering, tren...

Create a book recommendation system with machine learning using TF-IDF, KMeans clustering, and cosine similarity for acc...

Learn how to create a personalized movie recommendation system using SVD, LightFM, collaborative filtering, and weighted...