In this project, I created prediction model for predict bitcoin price with Gated Recurrent Unit Model. GRU is a gating mechanism in recurrent neural networks (RNN) similar to a long short-term memory (LSTM), GRU have more simple computation and faster than LSTM because have fewer number of gates.

Email verification, Model predict and User operations APIs.

Exploratory Data Analysis Part-2

XGBM-and-LGBM

Code Conext Model Prediction

Phishing website detection with machine learning

This repository a Shiny App to be run in a Docker container. It has been developed for the "Reproducible Analytical Pipelines" course of the Master of Data Science at the University of Luxembourg.

Data Visualization and Machine Learning Model Prediction with Iris Dataset.

imagepreprocessing

This project focuses on predicting customer subscription to term deposits using historical data from direct marketing campaigns. By analyzing features from the dataset, the goal is to develop a predictive model that helps optimize marketing strategies and improve campaign efficiency.

A predictive software that would help both the police department and the “general public” to get an idea about the likelihood of bicycle theft and the recovery.

Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python.

This github repository contains practice assignments on Python !

Predict Titanic survival using data analysis and machine learning. Identify key factors like age, fare, and more for insights into passenger survival outcomes.

Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi