Aircraft Engine Run-to-Failure Simulation

This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset

Build a machine learning model to predict if a credit card application will get approved.

Final Cybersecurity ML project of Marc Mestre and Yana Veitsman for Data Mining and Machine Learning course at University of Valencia, Spring 2021

Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features

Predictive model that tells important factors(or features) affecting the demand for shared bikes

This repository demonstrates the scaling of the data using Scikit-learn's StandardScaler, MinMaxScaler, and RobustScaler.

Bank Customer Behaviour Prediction

Exploratory Data Analysis for HR dataset

Cloud image generation with Python and OpneCV

Time Series Model

Artificial Neural Network using Keras in python to identify customers who are likely to churn.

In this project we will apply Recurrent Neural Network (LSTM) which is best suited for time-series and sequential problem, we will be creating a LSTM model, train it on data and make predictions to check its performance.

Stock price prediction is the process of forecasting future stock prices based on historical data and market indicators.

Feature transformation is a technique in machine learning that changes the way features are represented in order to improve the performance of machine learning algorithms. This can be done by transforming the features to a different scale, removing outliers, or creating new features from existing

Used-Car_price prediction using XGBoost Regressor