This repository houses a diverse collection of projects developed using Jupyter Notebooks, focusing on testing various machine learning pipelines, neural network models, and statistical machine learning approaches. Through exploration of different datasets, the projects delve into predictive modeling, classification tasks, and in-depth analyses.

This is a practice Repository consisting of all the notebooks I have practiced for Machine Learning from basics to Advance

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

A series of notebook submissions I've done for the Kaggle Playground Series Competition.

A topic-wise collection of mini projects implementing basic machine learning concepts through python. Originally implemented in Google colab notebooks.

A repository dedicated to learning about Artificial Intelligence, Machine Learning, and Deep Learning using Python/IPython Notebook.

Projeto de ciência de dados com o objetivo de criar um modelo de classificação utilizando machine learning para prever casos de churn em uma plataforma de streaming.

Projeto de ciência de dados com objetivo de, utilizando machine learning, definir um modelo para prever casos de churn no setor de cartões de crédito em uma instituição financeira.

Projeto de ciência de dados com o objetivo de definir um modelo preditivo de classificação utilizando machine learning para analisar churn de clientes.

Projeto de ciência de dados definindo um modelo de machine learning para classificar o score de crédito de clientes em uma instituição financeira.

Prediction-of-House-Grade-Classification using python ( Jupyter Notebook)

This repository contains different machine learning classification algorithms based on different data. All notebooks include Data Preparation (data fetch, filling missing values, feature engineering), Exploratory Data Analysis (using various visualization techniques), Pre-Processing, Building a Machine Learning Model, Model Evaluation.

This project contains the jupyter notebook and the data used for the Machine Learning C;lassification problem

Example notebooks to produce the models used in the SexEst web application.

This notebook is a machine learning project with classification to recognize payment and non-payment.This project is related to the final project related to the IBM machine learning course that I took. I hope you enjoy it and find it useful.

In this notebook, I have reviewed several classification algorithms on datasets.

Notebooks for Global AI Hub ML course in Aug 2022

Notebooks and Python about data science

ML code in of Jupiter notebook

This project tackles the Titanic challenge on Kaggle, predicting passenger survival based on variables like age, sex, and passenger class. The Jupyter notebook covers essential steps of a data science pipeline, including exploratory data analysis, data cleaning, feature engineering, and modeling. The dataset used is the Titanic dataset.