Kaggle competition

Decision Tree for classifying Poisonous/Edible Mushrooms

1-Outlier detection and removal of the outlier by Using IQR The Data points consider outliers if it's below the first quartile or above the third quartile 2-Remove the Outliers by using the percentile 3-Remove the outliers by using zscore and standard deviation

Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervise…

This is an implementation of improved Fuzzy Rough QuickReduct algorithm

Interactive feature selection web application

An unsupervised, model-agnostic, wrapper method for performing feature selection

As part of this project, I have used Machine Learning (classification) algorithms for classification of tumors in Human Breasts as Non-Cancerous/ Benign or Cancerous/ Malignant tumors.

Machine Learning / Multivariate Statistik in Python

Machine learning models for making predictions of titanic survivors

Code accompanying paper "Model-Augmented Conditional Mutual Information Estimation for Feature Selection" in UAI 2020

This is a ML based approach for text non-text separation for printed document image.

Implementation of Genetic Algorithms using Python

This project predicts Median Values of Houses of California with RMSE - 47K by using various Regression Algorithms namely SVM, Random Forest, Linear Regression, etc

EDA + ML model building for classification task.

Best Feature Subset selection using Genetic Algorithm. Tested on open-face emotions dataset using a DNN and Logistic Regression Model.

This is a package for improving maching learning, contain all of components, you can very easy use it for traning a model and deploying from original data.

Solution to the titanic machine learning competition on kaggle

Heart disease data analysis || data visualization || data preprocessing || feature selection technique || CNN apply.