Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

The following algorithms are used to build models for the different datasets: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index, F1-score, Log Loss. This project counts towards the final grade of the course.

The Course-Recommendation-System is a final project of the IBM Machine Learning Specialization implemented using Python and streamlit framework, offering an interactive web application for personalized course recommendations

This course was completed as a part of final project for the course Machine Learning with Python IBM on edx

This repository contains the final capstone project for the IBM Data Analyst Professional Certificate. It showcases data collection, wrangling, exploratory analysis, visualization, and machine learning skills. Included are Jupyter notebooks, datasets, and a project report, demonstrating practical data analysis on a real-world dataset.

This repository consists of the 6 Final Projects of the IBM Machine Learning Professional Certificate offered by IBM and covers such Machine Learning topics as Exploratory Data Analysis, Supervised Learning, Unsupervised Learning, Deep Learning and Time Series

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Coursera-IBM-Machine-Learning-with-Python-Final-Project : The Best Classifier , Instructor - Saeed Aghabozorgi

IBM Machine Learning In Python Final Project

Final projects for IBM Machine Learning Professional Certificate

Final Project for Machine Learning with Python Course by IBM on Coursera.

My final project submission for the course IBM: ML0101EN Machine Learning with Python: A Practical Introduction

Coursera Final Project for the IBM Machine Learning course: Rainfall Prediction Classifier using Logistic Regression and Random Forest.

An end-to-end Machine Learning pipeline built with PySpark to predict airfoil self-noise. Final project for the IBM Machine Learning with Apache Spark course.

This repository contains files from the practical lab of the final project of the course Machine Learning with Python from IBM

Final project for IBM’s Machine Learning with Python course on Coursera – predicting rain in Australia using Logistic Regression and Random Forest.

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.

Final project for the IBM Machine Learning with Python Course, consists of load a historical dataset from previous loan applications, data cleaning, and applying different classification algorithims

This is my Machine Learning final project for Job Connector Data Science Program of Purwadhika School. The objective is to create the best Machine Learning Model to predict Employee Attrition Rate in a company, using Classification. The dataset used is obtained from Kaggle, which is generated by IBM Data Scientists.

This is about final project of my machine learning with python course in coursera

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Final Project for IBM's Machine Learning with Python course on Coursera.

IBM Machine Learning Final Project Sample

Final project of machine learning course by IBM on Coursera, taken on December 2019

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This is Machine Learning Project of Peer-graded Assignment

My machine learning final project assignment of the Data Science course from IBM