hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

Recommendation Systems

Group Project for Primo Academy

As an early diagnosis step machine learning classifiaction algorithms could be used in finding if the patient is prone to parkinsons disease.

Regression, Classification, Clustering, Dimension-reduction, Anomaly detection

This is a blog of how machine learning algorithms are used to detect if a person is prone to heart disease or not.

Code templates for different ML algorithms

Huffman Algorithm | Python | Makefile | Ubuntu | VMware | PyCharm

This is a Premiere Project done by Team Gitlab in Hamoye Data Science Program Dec'22. Out of 5 models used on the data, Random Forest Classifier was used to further improve the prediction of characters death. With parameter tuning and few cross validation, we were able to reduce the base error by 5.42% and increase accuracy by 2,42%.

Implemented SVC on the Olivetti dataset to predict if a person is wearing glasses or not by using cross-validation techniques in depth.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

In this comprehensive machine learning project, I executed the entire machine learning life cycle. Designed a streamlined and visually appealing interface using Streamlit. Ensuring a user-friendly experience for individuals to input their relevant information effortlessly. Handed off well-documented and easily modifiable code.

churn prediction for telecom company

Web application that can be used to predict breast cancer, based on cell features. Model classifies result as benign or malignant.

Predicting Math Scores for Brazilian high School National Exams

This is a supervised machine learning project using loan customer data to predict customer risk flag based on their Income, Age, Marital Status, Profession, Financial Responsibilities, etc

Collection of Python scripts

PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS

This repository consists the Jupyter Notebook files containing code of Artificial Neural Network with different tuning parameters for a similar scenario.

This repository containes one of the assignments I have submitted for my Machine Learning Course, precisely it containes the code to address a classification tasks using Sklearn and Support Vector Machines!