Applied SVC classifier and Logistic Regression classifier algorithm onto credit card transaction dataset to detect any fraud.

I leveraged an algorithmic approach for document classification and document clustering. Various models have been trained for document classification and they all have been evaluated using performance metrics followed by tuning of the model hyper-parameters to reach the most accurate classification. Additionally, a model has been trained for doc…

This project is made for search the best regression model based in some metrics training some models and evaluating them

Customer Churn Prediction

Retail data analysis using machine learning techniques in Python and Sklearn packages to help Ugly Christmas Party determine how many sweaters to order for each ugly Christmas sweater design created.

GridSearchCV For Model optimization

Machine Learning with Python

Classification of fetal cardiotocography to determine whether pattern is normal, suspect or pathalogical.

Marketing Data Analysis Project

MlFlow Project creating pipelines and using Grid-Search Cross Validation to find optimal parameters for Old School Runescape Machine Learning datasets.

Loan Approval Prediction

A simple implementation of the Logistic Regression Classifier on the Breast Cancer Dataset with L1 regularization and GridSearch for hyperparameter tuning.

Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking site…

Text Mining Competition

Applied Machine Learning ( End to End ) Classification Models

Experimental using on Iris dataset of MultiLayerPerceptron (MLP) tested with GridSearch on parameter space and Cross Validation for testing results.

Improving a Machine Learning Model