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Projects in Awesome Lists by deliprofesor

A curated list of projects in awesome lists by deliprofesor .

https://github.com/deliprofesor/ridge-regression-for-sales-prediction-model-evaluation-and-hyperparameter-tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

cross-validation data-science data-visualization grid-search machine-learning model-optimization mse overfitting-prevention polynomial-regression python r2-score regression-analysis regularization ridge-regression rmse scikit-learn

Last synced: 30 Dec 2024

https://github.com/deliprofesor/lstm_pollution_forecasting

This project uses Long Short-Term Memory (LSTM) networks to forecast PM2.5 pollution levels based on environmental factors like temperature, humidity, pressure, wind speed, snow, and rain. It employs multivariate time series data, data preprocessing (normalization and sequence creation), and model training to predict future pollution levels.

data-science lstm machine-learning matplotlib numpys pandas pollution tensorflow

Last synced: 16 Dec 2024

https://github.com/deliprofesor/game-search-volume-prediction-machine-learning-models-and-forecasting

This repository uses machine learning models like Random Forest, XGBoost, LightGBM, and time-series forecasting with Prophet to predict game search volumes. Additionally, Grid Search is applied for hyperparameter tuning of the LightGBM model.

data-cleaning data-science data-visualization feature-selection forecasting-models game-search grid-search hyperparameter-tuning lightgbm machine-learning pandas prophet python random-forest scikit-learn time-series-analysis time-series-forecasting xgboost

Last synced: 26 Dec 2024

https://github.com/deliprofesor/header-pin-connectors-for-pcb

This project provides a comprehensive library of 1, 2, and 3-row header components for Altium Designer. Each header type comes with schematic symbols, PCB footprints, and 3D models. Ideal for ensuring consistency in your electronic designs and for using reusable components across projects.

3d-models altium altium-designer altium-library pcb-design schematics step-models

Last synced: 23 Dec 2024

https://github.com/deliprofesor/virtual-reality-in-education-impact-analysis-and-insights

This project examines the impact of Virtual Reality (VR) on education, focusing on its effects on student engagement, learning outcomes, and creativity. It uses data analysis techniques like descriptive statistics, correlation analysis, and clustering to assess VR's effectiveness in enhancing learning.

clustering data data-analysis data-science data-visualization exploratory-data-analysis hypothesis-testing machine-learning python regression-analysis virtual-reality

Last synced: 23 Dec 2024

https://github.com/deliprofesor/digital-communication-laboratory

This project simulates ASK, PSK, FSK, and PWM modulation techniques in Python, visualizing both modulation and demodulation processes for communication systems.

amplitude-shift-keying demodulation frequency-shift-keying low-pass-filter matplotlib modulation phase-shift-keying pulse-width-modulation python signal-processing

Last synced: 23 Dec 2024

https://github.com/deliprofesor/health-score-prediction-model-the-impact-of-lifestyle-and-demographic-factors

A machine learning project predicting health scores based on lifestyle and demographic factors like age, BMI, diet, and exercise. Techniques include Random Forest, Polynomial Regression, and Linear Regression, with a focus on model performance and actionable health insights.

cross-validation data data-science data-visualization feature-engineering linear-regression machine-learning polynomial-regression random-forest

Last synced: 23 Dec 2024