Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Football Match prediction using machine learning algorithms in jupyter notebook

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Low Humid Day Predication from daily weather data using SprakSQL on a Jupyter notebook and KNIME workspace

This repo contains my notebooks with answers and overall content from the DeepLearning.ai NLP specialisation courses, available on Coursera.

Jupyter notebooks of SAKI ML course at FAU (for students)

Python code (including ipython notebook) for naive bayes classifier to classify salaries of adults based on various attributes

ML project to classify benign from malignant tumors using Jupyter notebook

Project and Studies about Natural Language Processing - python notebooks developed in classes

🫧 Learning the different implementation approaches of bayesian methods using Python (Jupyter Notebook).

This is a restaurant reviewer model which was bulit using the concept of NLP. It was built Jupyter notebook on python version 3.10.

Machine learning examples in R using Jupyter notebook with R kernel. Covers supervised and unsupervised learning.

Practice and tutorial style notebooks covering mathematics, visualization, and various machine learning and deep learning techniques.

This repository contains a Jupyter notebook implementing the Multinomial Naive Bayes algorithm from scratch for an email classification task of SPAM or HAM. The notebook also includes a comparison of the results obtained with the scikit-learn implementation of Multinomial Naive Bayes.

Python implementation of naive bayes from scratch and using scikit-learn

This repository contains a Jupyter Notebook for recognizing hand-written digits using machine learning algorithms. The project demonstrates how to preprocess data, train models, and evaluate their performance in recognizing digits from images.

Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore various quantitative forecasting methods.This notebook documents contains the methods that can be applied to forecast gold price and model deployment using streamlit, along with a detailed explaination of the diff…

A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks

Project made in Jupyter Notebook with Kaggle Credit Card Fraud Detection Dataset 2023, which aims at selection of best supervised machine learning model for capturing credit card frauds.

This repository contains a Jupyter notebook that implements different algorithms for similarity checking. The primary focus is on comparing various models to determine the most effective for thesis similarity detection.