Muhammad Abu Bakar Siddique's Projects
It is a decision tree model that is trained to predict the evaluation of a car in 4 categories based on certain features. The goal is to achieve high accuracy in predicting using decision tree model from sklearn.
The objective of this project is to build a decision tree model that can predict the survival of passengers on the Titanic based on certain features. The goal is to achieve high accuracy in predicting whether a passenger survived or not.
Data Analysis practice using Data Mining Techniques
K nearest neighbors algorithm can be used for classification and regression problems. Both these problems are solved here.
This repository contains code for implementing logistic regression on the HR dataset. The goal is to predict whether an employee will leave a company based on certain features.
This multiple linear regression model is build to predict the salary of a potential employee based on their years of experience, level of education, and interview score.
This is a simple implementation of naive bayes algorithm from sklearn trained on wine dataset from sklearn.
Product preview card component
This repository contains code for a Polynomial Regression model trained to predict the salary based on position levels.
Repository to store sample python programs for python learning
QR-code component webpage designed by simple html and CSS as a challenge from frontendmentor.io
This is a simple linear regression model trained on the historical data of Canada's per capita income. The model uses the year as the independent variable to predict the per capita income. The dataset used for training the model is publicly available and has been included in this repository.
Simple logistic regression model that is trained on IRIS dataset and it used for multi classification pupose
TinDog is basically a tinder for dogs. This website is designed by HTML, CSS and bootstrap 5. It was actually built just for practice and it has no functionality yet.