Search results for jupyter notebook naive bayes

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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Dat8 ⭐ 1,549

General Assembly's 2015 Data Science course in Washington, DC

Deeplearning.ai Natural Language Processing Specialization ⭐ 523

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Question Generation ⭐ 305

Generating multiple choice questions from text using Machine Learning.

Machine_learning ⭐ 183

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

Aulas ⭐ 167

Aulas da Escola de Inteligência Artificial de São Paulo

Deeplearning.ai ⭐ 139

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Machine Learning ⭐ 117

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic

Amazon Product Recommender System ⭐ 113

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Heart_disease_prediction ⭐ 49

Heart Disease prediction using 5 algorithms

Predicting Football Match Outcome Using Machine Learning ⭐ 29

Football Match prediction using machine learning algorithms in jupyter notebook

20 Newsgroups_text Classification ⭐ 24

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

Text Classification ⭐ 23

Text Classification using Multinomial Naive Bayes (implemented from scratch in python3)

Amazon Fine Food Review ⭐ 16

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Textclassificationapp ⭐ 15

Building and Deploying A Serverless Text Classification Web App

Implementation Of Ml Algos In Python ⭐ 13

Implementing various machine learning algorithm from scratch

Deeplearning.ai Natural Language Processing ⭐ 12

My solutions to the assignments in the NLP Specialization offered by DeepLearning.AI on Coursera.

Sentimentanalysis Python Demo ⭐ 10

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

Natural Language Processing ⭐ 8

This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

Emoji Prediction Using Deep Learning ⭐ 7

This project aims to understand the underlying semantics of the text sentence using natural processing techniques to predict reasonable emojis based on the context.

Artificial Intelligence Course Projects S2023 ⭐ 7

AI course projects for problems like searching such as BFS, IDS and A*, genetic algorithms, Minimax tree, Naive bayes for classification, Machine Learning algorithms for anticipating price of houses and a Neural Networks by different approaches(from scratch, pytorch, keras)

Unsupervised Features Learning For Image Classification ⭐ 6

Recently, image classification draw attentions of many researchers. The need of object recognition grows drastically, especially in the context of biometric, biomedical imaging and real time scene understanding. Computer vision task is the most challenging in machine learning. For that reason, it's fundamental to tackle this concern using appropriate clustering and classification techniques. However, the quest for the best unsupervised features extraction remain an open problem even if CNNs r

Personal Bank Loan Modeling Classification Analysis ⭐ 5

Supervised Machine Learning Analysis Using Classification Models

Machine Learning Practice ⭐ 5

Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.

Fake Jobposting Prediction ⭐ 5

Real and fake job postings prediction