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1. Route_Optimization_Python Route_Optimization_Python Public

   By determining the optimal set of routes for a fleet of vehicles to serve a given set of customers, we can minimize total costs or distances traveled

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2. Facility_Location_Optimization_Python Facility_Location_Optimization_Python Public

   The goal is to strategically determine the optimal locations for facilities (such as factories, warehouses, or service centers) to minimize costs while satisfying demand constraints.

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3. Video-to-Text-using-Tkinter-EasyOCR Video-to-Text-using-Tkinter-EasyOCR Public

   Overall, this code creates a simple GUI application that captures video frames from a camera, performs text recognition using easyocr, and displays the detected text along with bounding boxes on th…

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4. Time_Series_Forecasting-in-Python-XGboost-Prophet-Holtwinters Time_Series_Forecasting-in-Python-XGboost-Prophet-Holtwinters Public

   In this tutortial we will try three different methods for time series forecasting. We will be predicting Gold Stock Price based on historical data. We will try XGBoost, Holtwinters and Facebook Pro…

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5. Predicting-premier-league-winner-2024 Predicting-premier-league-winner-2024 Public

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6. Customer_Classification_Buyer_NonBuyer Customer_Classification_Buyer_NonBuyer Public

   In this video, we’ll construct a neural network to categorize customers as either buyers or non-buyers. Our dataset comprises information from 5000 customers, including details such as gender, age,…

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