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

Notebooks for Global AI Hub ML course in Aug 2022

Various Machine learning and Deep learning algorithms written in Jupyter notebooks in one repository

python deep learning classification jupyter notebook

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

GitHub repo for the Advanced Classification Sprint Team ZM3 Notebook

Simple jupyter notebook with some practice with pandas and algorhitms

These notebooks contain advanced analysis of ML models of different kind of datasets

This notebook describes how to compute and derive insights from various classification evaluation metrics.

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

It contains Google colab notebooks which I have created based on Data analysis and different Machine learning Techniques.

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

notebooks consist of various machine learning classification algorithm to predict climate based on the various factors. however this project does not implement time series algorithm.

This repository contains Python notebook which contains creation of simple neural network. I have used synthesised 2 cluster dataset to train the network and test it.

This repository contains a series of Jupyter Notebooks files documenting the development of a series of classifiers for detecting fraudulent transactions in a synthetic mobile money transfer dataset.

There are 2 files. One is the csv file of churn dataset and the other is the jupyter notebook which contains the code of the ensemble model of the churn dataset.

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.

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 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.

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.