Compute a moving root mean squared error (RMSE) incrementally.

Compute the root mean squared error (RMSE) incrementally.

Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level

Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, weather conditions, and road configurations to forecast traffic patterns. This information can be invaluable for traffic management systems, helping to optimize traffic signals and reduce congestion, ultimately.

Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

imagor video thumbnail server in Go and ffmpeg C bindings

This project is my personal project about predict fertilizer demand using ARIMA Algorithm. I predicted data with Python program using Google Colab. I also created Data Visualisation withto get some insight from the dataset that can used for arrange their next strategic planning.

This code evaluates the performance of a logistic regression model on age prediction using various features to predict a binary target variable, calculating metrics to determine the performance. It evaluates the comparison, identifies favorable features, and visualizes the ROC-AUC curve to determine the best model performance.

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

A movie recommendation system on MovieLens 25M dataset using Python and Apache Spark

This project aims to enhance the accuracy and efficiency of stock market predictions by employing a sophisticated machine learning methodology. This project leverages the power of PySpark, a robust framework for distributed data processing, to handle large datasets and perform complex computations.

Exploratory data analyzing of Global Financial Database and loan borrowing prediction using PySpark

Car insurance prediction using Logistic Regression and the Naive Bayes

House sale price prediction using Linear Regression

Advanced Image Enhancement and Data Recovery: Superresolution Techniques and Missing Data Handling

Movie Recommender

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R code for exchange rate prediction using Multilayer Perceptron (MLP) models with various architectures and evaluation metrics

Predicting Walmart Sales and Performing Exploratory Data Analysis