Data Science Projects done at Data Trained Education during PG Data Science & ML Course

Temperature Prediction of Greenhouse using LSTM

We trained GAT-LSTM as AI surrogate model to predict the temperature fluctuations of lithium-ion battery under given conditions including temporal current and environmental temperature.

I tried to predict temperature of local area in Indonesia using data from BMKG (Badan Meteorologi, Klimatologi dan Geofisika) Indonesia and RNN Model from TensorFlow

Predicting average temperatures for the state of Bahia

This is a weather prediction app using React

🌤️ A real-time weather forecast app built with Streamlit, featuring 5-day forecasts, AQI, min/max temperatures, and an interactive temperature trend chart using OpenWeatherMap API.

Python code for forecasting the monthly average temperature in Philadelphia using the Seasonal ARIMA (SARIMA) model. The model is used to generate future temperature forecasts based on historical monthly observations.

PCA For Dimension Reduction And Visualization, Temperature-Yield Prediction Via Linear Regression, And Linear Fit Optimization Using Gradient Descent.

Practical Implementation of Linear Regression on Algerian Forest Fire Dataset.

Predicts Temperature of 88 cities using Decision Tree Regressor and 800,000 Data Entries over 25 Years.

Thermal (heat transfer) analysis

This project presents a comparative study of three distinct approaches to temperature forecasting: traditional statistical models, automated time series (AutoTS) frameworks, and prompt-based large language models (LLMs).

predicts temperature of 2015 to 2030 season wise

SMAP projekt Fuzzy předpověď počasí

O objetivo deste desafio foi coletar dados de temperatura de uma API pública, realizar a limpeza e tratamento desses dados, gerar um modelo de regressão linear e realizar a predição de valores de temperatura para uma semana, comparando com os dados reais para medir a precisão do modelo.

Production-ready machine learning system analyzing 116 years (1901-2016) of Pakistan's national climate data to predict rainfall and temperature patterns.

Predicts apparent temperature using ML models like Random Forest, XGBoost, etc.

Implementation of a Gaussian Kernel Regression for Temperature prediction using PySpark.

Used normal neural networks and convolutional neural networks in many many data like animals, fashion, flowers classification, and also temperature predictions and time-series. Have fun. BTW used tensorflow for the works.