Time Series Forecasting for Sales Data

Overview

This project focused on forecasting future sales using historical sales data. We used ARIMA and LSTM models to build the predictive model and evaluated its performance with various metrics.

Results

  • The LSTM model outperformed the ARIMA model in terms of predictive accuracy.
  • Forecasts were integrated with a dashboard for …
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Machine Learning Model for Image Classification

Overview

We developed a deep learning model using Convolutional Neural Networks (CNNs) to classify images from the CIFAR-10 dataset. The project utilized TensorFlow and Keras for building and training the model.

Achievements

  • Achieved an accuracy rate of 85% on the test set.
  • Implemented data augmentation techniques to improve model robustness …
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Test Project

Test Project Overview

This is a test project to verify if Pelican generates the page correctly.

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Predictive Analytics for Energy Consumption

Overview

This project involved building a predictive model to forecast energy consumption patterns based on historical data. We used Python, Pandas, and Scikit-Learn to clean, analyze, and train the model. The insights gained are useful for optimizing energy use and planning.

Key Findings

  • Energy consumption trends are impacted by seasonality …
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