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1. Airline-Passengers-Time-Series Airline-Passengers-Time-Series Public

   This project explores multiple time series forecasting techniques, including Facebook Prophet, ARIMA, and SARIMAX, to predict airline passenger trends. It compares the effectiveness of each model i…

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2. Human-Resources Human-Resources Public

   This project analyzes employee attrition using machine learning models, including Logistic Regression, Random Forest, and XGBoost. The objective is to identify key factors influencing employee turn…

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3. Online-Retail-Clustering Online-Retail-Clustering Public

   This project applies the K-Means clustering algorithm to segment customers based on their purchasing behavior. The dataset used contains transaction data for an online retail store, and the project…

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4. CNN-Cat-or-Dog CNN-Cat-or-Dog Public

   This project uses a Convolutional Neural Network (CNN) to classify images of cats and dogs. The model is trained on a labeled dataset of cat and dog images. By preprocessing the images and applying…

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5. Sales-Analysis Sales-Analysis Public

   This project performs exploratory data analysis (EDA) and sales forecasting for a retail dataset. It leverages Python libraries such as Pandas, Matplotlib, Seaborn, and Facebook Prophet to analyze …

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6. Zomato-Ratings-Deployment Zomato-Ratings-Deployment Public

   This project predicts restaurant ratings based on various factors such as online orders, table bookings, restaurant type, location, and cuisine. Machine learning models were trained and deployed us…

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