chapter notes and codes from the book Python Machine Learning (3rd edition) by Sebastian Raschka
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Updated
Mar 17, 2020 - Jupyter Notebook
chapter notes and codes from the book Python Machine Learning (3rd edition) by Sebastian Raschka
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.
Data clustering project of NLP dataset
Mean, median, modus pada statistik python untuk machine learning.
Python Basics for Machine Learning
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)
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.
Creating neural network model for predicting type of animal based on given attributes
Machine Learning Programming
[Work in Progresss] Become so good in machine learning - a complete machine learning study plan to become a Machine learning rockstar (and a ML engineer).
notebooks created while reading the "Python Machine Learning" book by Sebastian Raschka
Study for Financial analysis & Machine Learning with Python
Predicting quality of wine using Machine learning
Machine Learning Fundamentals
This repo contains all the recess code for the six weeks training.
A machine learning project with a streamlit GUI that predicts salaries of developers based on their education, years of coding experience, number of languages known etc. Multiple supervised learning models were trained and the best performing one is utilised for predictions.
This repository contains an Inflation Predictor ML Project using Flask. The project aims to predict the inflation rate based on economic indicators such as GDP and the unemployment rate.
This is a repository for resources and notebooks completed as part of the IBM Data Science Professional Certificate.
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