Notebooks for ML Tasks w/ Scikit and LLMs using Cohere, HuggingFace, LangChain, and OpenAI

Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀

Different machine learning approaches on classifying customers who are most likely to purchase an offer. Made with Jupyter Notebook, scikit-learn, and other helpful python packages.

This Repository is all about the popular Artificial Intelligence Lab concepts and their variations. Which can be helpful to Machine learning. I have try Artificial Intelligence Lab all problems solutions using prolog, python Programming Language and Jupyter Notebook program.

This repository is made following the course by Sir Jose Portilla, and focuses on Supervised Machine Learning algorithms. I studied all these concepts in December 2023

This repository contains a single notebook, notebook.ipynb, which analyzes the ability of three machine learning algoithms — Multinomial Naive Bayes, Logistic Regression, and Support Vector Machine — to determine whether customer reviews of the Disneyland amusement park in California are positive or negative.

Exploring a collection of Jupyter notebooks showcasing a variety of Natural Language Processing (NLP) projects.

Detailed Data Science using Python-Jupyter Notebook ( Data Analysis using Pandas and NumPy, Visualization using plotly express, Exploratory Data Analysis, Supervised ML models: Linear Regression, KNN, Logistic Regression, Support Vector Machine, Decision Trees Ensemble Models: Voting Bootstrap/ Bagging Aggregation, Unsupervised: K-Means

Welcome to the Machine Learning Repository! This repository is a collection of notebooks showcasing various machine learning projects and implementations. It incluedes Decision tree algorithm, Random forest , Support vector machine etc.

A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.

This repository contains an academic project developed in jupyter notebook using python language and machine learning algorithms.

This repository contains introductory notebooks for support vector machine

Notebooks in Machine Learning. Including exponential, polynomial, logistic and softmax regression. Time series analysis. Neural Networks.

A.I. and Machine Learning notebooks: Using Supervised Learning, Unsupervised Learning, Re-enforcement Learning to solve Classification, Clustering and Regression problems

A series of Jupyter notebooks, to know about Machine Learning, its implementation, and identifying its best practices.

This notebook outlines the pipelines of 3 models used to classify the shopping intention of online shoppers. Instances of individual pipleines have been generated for this project.

Repository consisting of the notebooks I worked on to submit my courseworks at Royal Holloway

These notebooks were created for the course MME 26849: "Fundamentals of Deep Learning and TinyML"

Machine Learning Homework Solution Notebooks (UCF CAP5610)

This repository contains my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.