chapter notes and codes from the book Python Machine Learning (3rd edition) by Sebastian Raschka

This is a repository for resources and notebooks completed as part of the IBM Data Science Professional Certificate.

A unofficial companion repo to the Deep Learning Book by Ian Goodfellow/et.al. Includes code, notebooks, and notes.

Quick image classification model designed to tell the difference between an airplane, boat, or a car that was trained on hundreds of images!

Explore my GitHub for diverse Machine Learning projects that reflect my data-driven passion and innovation. Join me in unraveling AI's potential through collaborative learning.

Churn Prediction using Machine Learning.Go through the readme file to know about the project and how to run it.

Python Machine learning guide

Data clustering project of NLP dataset

Mean, median, modus pada statistik python untuk machine learning.

STUDY ON PROCESSING BRAIN SIGNALS USING EEG SENSOR BY MACHINE LEARNING

Review of some machine learnings models

Python Basics for Machine Learning

COVID-19: Behind the Numbers.

Python Machine Learning algorithms and experiments. At the moment there is an implementation of k nearest neighbours on features projection algorithm (k-NNFP), and Voting Feature Intervals algorithm.

Various supervised machine learning techniques on the highly optimized NSL-KDD dataset to create an efficient and accurate predictor of possible intrusions on a network.

A repo containing all the projects I'm doing in kaggle in my journey to learn ML/AI engineering. Feel free to star/fork the repo if you wish to.

Assessment of Wake County house sale prices and contributing factors that influence the price. (Career Foundry - Data Analytics final project)

In this Python machine learning project, using the Python libraries scikit-learn, numpy, pandas, and xgboost, I have build a model using an XGBClassifier. We’ll load the data, get the features and labels, scale the features, then split the dataset, build an XGBClassifier, and then calculate the accuracy of our model.

Creating neural network model for predicting type of animal based on given attributes