House Price Prediction using different regression models like Linear, Ridge, Lasso, Elastic Net, Random Forest, XGBoost, K-Nearest Neighbours, Support Vector Regressor, XGBoost. Also, multi-layer perceptron(MLP) was implemented using TensorFlow

Kaggle Competition - Large-scale Deep Neural Network regressor for predicting trip duration of Uber rides

scikit-learn ML

This repo contains the assignments workload for the computer vision course in the MSc degree

Neural Networks course assignments @ University of Tehran

Using Deeplearning to dynamically predict future 3 months sales based on previous sales record.

Prediction of delivery times for DoorDash deliveries. Performed feature engineering (creation, encoding), feature selection using (multi)collinearity analysis, Gini importance and PCA. Applied 6 ML models to perform regression analysis on delivery time prediction.

Building a multi-input-output CNN to predict airfoil lift coefficients

C implementation of a Multilayer perceptron with gradient descent through explicit backpropagation for use in time-series prediction tasks. The project targets forecasting of Covid-19 data.

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

Prezicerea varstei abalone dintr-o baza de date cu masuratori fizice, folosind MLP (perceptron multistrat) si tratand problema ca una de regresie.

uc 一款专注于数据分析的神经网络

MLP neural network for USD Exchange dataset

HCI연구실 MLP 테스트

A Multilayer perceptron written in pure Python

Predictive modeling project analyzing Spotify's Persian music dataset to estimate track energy using machine learning techniques, specifically MLP regressor and Linear Regression.

Data science project, analysing NGS data from a binding study,

Predicting Number of Customers in Different Parts of Helsinki using Deep Learning