Naive Bayes Courses and Certifications

Coursera

Titanic Survival Prediction Using Machine Learning

19 ratings at Coursera

Predict Titanic survivors using logistic regression and Naive Bayes classifiers. Analyze passenger features to determine survival likelihood in this hands-on machine learning project.

• Coursera
• 2 hours 2 minutes
• Self-Paced
• Paid Course

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Techniques d’intelligence artificielle : des fondements aux applications

Explorez les fondements de l'apprentissage automatique supervisé, des algorithmes de base aux réseaux de neurones profonds, avec des applications pratiques dans divers domaines.

• edX
• 6 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Predictive Analytics

Discover how to transform enterprise data into actionable business intelligence using decision trees, neural networks, market basket analysis, and discriminant analysis tools.

• Coursera
• 2 days 7 hours 46 minutes
• Self-Paced
• Paid Course

Predictive Analytics and Forecasting

Master predictive analytics tools including regression, classification, clustering, and forecasting to make data-driven business decisions and uncover customer behavior patterns.

• Coursera
• 2 days 15 hours 37 minutes
• Self-Paced
• Paid Course

Supervised Learning Regression Classification Clustering

Master essential machine learning techniques from regression and classification to clustering, gaining practical skills to implement supervised and unsupervised learning for real-world data analysis.

• Coursera
• 7 hours 44 minutes
• Self-Paced
• Paid Course

Edureka

Advanced Tokenization and Sentiment Analysis

Master advanced tokenization techniques and sentiment analysis using BERT, RoBERTa, and VADER to build robust NLP systems that handle multilingual text and domain-specific challenges.

• Coursera
• 16 hours 14 minutes
• Self-Paced
• Paid Course

Packt

NLP – Machine Learning Models in Python

Master natural language processing with Python through practical applications in spam detection, sentiment analysis, text summarization, and topic modeling using algorithms like Naive Bayes, logistic regression, TextRank, and LDA.

• Coursera
• 8 hours 40 minutes
• Self-Paced
• Paid Course

Packt

Exploratory Data Analysis & Core ML Algorithms

Master exploratory data analysis and core ML algorithms including linear regression, logistic regression, Naive Bayes, and decision trees through hands-on projects and real-world applications.

• Coursera
• 14 hours 5 minutes
• Self-Paced
• Paid Course

Packt

Natural Language Processing - Probability Models in Python

Master probability-based NLP techniques in Python, from spam detection and sentiment analysis to text summarization and topic modeling, with hands-on implementation of algorithms like Naive Bayes, LDA, and TextRank.

• Coursera
• 6 hours 52 minutes
• Self-Paced
• Paid Course

EDUCBA

Advanced Machine Learning with R: Apply & Predict

Master advanced ML techniques in R: clustering, Naive Bayes, neural networks, time series forecasting, PCA, gradient boosting, and market basket analysis for production-ready models.

• Coursera
• 17 hours 40 minutes
• Self-Paced
• Paid Course

Packt

Python Machine Learning By Example

Explore Python machine learning through hands-on projects covering deep learning, NLP, and computer vision using TensorFlow and PyTorch, with real-world case studies in finance, NLP, and image recognition.

• Coursera
• 32 hours
• Self-Paced
• Paid Course

Packt

Machine Learning with R

Master machine learning in R, from data prep and classification to deep learning and big data with Spark, Hadoop, Keras, and TensorFlow for real-world applications.

• Coursera
• 1 day 9 hours 10 minutes
• Self-Paced
• Paid Course

Machine Learning Essentials - Master core ML concepts

784 ratings at Udemy

Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects!

• Udemy
• 1 day 3 hours 57 minutes
• Self-Paced
• Paid Course

Stanford CS229 - Machine Learning I Spring 2022

Master supervised and unsupervised learning, neural networks, reinforcement learning, and statistical pattern recognition through Stanford's comprehensive machine learning curriculum.

• YouTube
• 1 day 1 hour 43 minutes
• Self-Paced
• Free Video