Data visualization and one hot encoding of Kaggle dataset. Model trained with random forest classifier

Flight fare perdicting model

Repositório para o primeiro challenge de data science na Alura, mostrando o pipeline de tratamento, análise gráfica e construção de modelos de machine learning.

Feature Engineering

The goal of this project is to use Natural Language Processing (NLP) techniques to analyze hotel reviews and gain insights into customer opinions and experiences to classify hotel reviews.

This Github repository contains cross selling of health insurance customers on vehicle insurance product. We have to predict whether a customer would be interested in Vehicle Insurance or not by building a ML model. Exploring Insights/Inferences by performing EDA on the given project data. Finding the high accuracy

This repository covers my code using regression models to predict if a customer would be exiting a bank or not. It also capture the use classification models to classify if a customer has left the bank or not (binary classification).

Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.

Unofficial but extremely useful Label and One Hot encoders.

Using a dataset provided by Airbnb, analysis and predictions will be made to understand what effects the total price of an Airbnb

Implemented content-based and collaborative filtering recommendation systems using Python

Using Regression algorithms for predict houses prices for a dataset

Flask API serving a trained ML model to perform inferences over the input Json.

Final project program DBA mitra Ruangguru X Studi Independen Bersertifikat Kampus Merdeka batch 2

It uses basic concepts of Deep Learning to classify the Iris Dataset.

Welcome to the FIFA Dataset Data Cleaning and Transformation project! This initiative focuses on refining and enhancing the FIFA dataset to ensure it is well-prepared for in-depth analysis. The project involves a comprehensive data cleaning process and transformation of key features to improve data quality and usability.

Life expectancy data processing

This project showcases an End-to-End ML Project on the Auto MPG dataset, where the main objective is to predict miles per gallon (MPG) of a car, based on its given attributes. This prediction would greatly help the designer engineers to understand what would be the expected MPG of their designed car and help them make suitable changes to deliver…