Cross-Validation Courses and Certifications

Rob Mulla

Complete Guide to Cross Validation

Comprehensive guide to cross-validation in machine learning, covering setup, datasets, common pitfalls, train-test splits, and practical applications using scikit-learn in Python.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

Data Science with Python: Enhancing Model Accuracy and Robustness

Simply creating a machine learning model is not enough to gain the best insights on the data. This course will teach you how to enhance a model through hyper-parameter tuning and other methods.

• Pluralsight
• 23 minutes
• On-Demand
• Free Trial Available

Data Science: Machine Learning

85 ratings at edX

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

• edX
• 8 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Resampling, Selection and Splines

Explore advanced statistical learning techniques for data science, including resampling methods, model optimization, and non-linear approaches to enhance prediction accuracy and interpretability.

• Coursera
• 15 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Regression Analysis

Master regression analysis techniques to model relationships, prevent overfitting, and make data-driven decisions. Explore linear and polynomial regression, regularization, cross-validation, and ensemble methods through hands-on practice.

• Coursera
• 1 day 16 hours
• On-Demand
• Free Online Course (Audit)

Machine Learning for Marketers

Enhance marketing strategies with machine learning: predict customer behavior, optimize campaigns, uncover hidden patterns, and personalize experiences using advanced analytics techniques.

• Coursera
• 21 hours 57 minutes
• On-Demand
• Free Online Course (Audit)

Data Science: Supervised Machine Learning in Python

3342 ratings at Udemy

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

• Udemy
• 6 hours 24 minutes
• On-Demand
• Paid Course

Learn Machine Learning 101 Class Bootcamp Course NYC

525 ratings at Udemy

Machine Learning 101 Class Bootcamp Course Intro to AI

• Udemy
• 1 hour 23 minutes
• On-Demand
• Free Online Course

Hyperparameter Optimization for Machine Learning

434 ratings at Udemy

Learn grid and random search, Bayesian optimization, multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize & more.

• Udemy
• 10 hours
• On-Demand
• Paid Course

Machine Learning - Fundamental of Python Machine Learning

237 ratings at Udemy

Learn The Most Effective Machine Learning Techniques in Python

• Udemy
• 3 hours 20 minutes
• On-Demand
• Paid Course

Beginning with Machine Learning, Data Science and Python

162 ratings at Udemy

Fundamentals of Data Science : Exploratory Data Analysis (EDA), Regression (Linear & logistic), Visualization, Basic ML

• Udemy
• 3-4 hours
• On-Demand
• Paid Course

A to Z (NLP) Machine Learning Model building and Deployment.

161 ratings at Udemy

Python, Docker, Flask, GitLab, Jenkins tools and technology used for deploy model in your Local server. A complete Guide

• Udemy
• 4 hours 56 minutes
• On-Demand
• Paid Course

Data Science with R (beginner to guru)

80 ratings at Udemy

Learn Data Science using R from scratch. Build your career as a Data Scientist. Explore knitr, buzz dataset, adv methods

• Udemy
• 23 hours 4 minutes
• On-Demand
• Paid Course

Databricks

Applied Data Science for Data Analysts

54 ratings at Coursera

Develop advanced data science skills through real-world problem-solving, covering unsupervised learning, feature engineering, tree-based models, and model optimization techniques.

• Coursera
• 16 hours 31 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning

1 review

Comprehensive introduction to machine learning concepts, from fundamentals to advanced techniques, with clear explanations and practical applications.

• YouTube
• 22 hours
• On-Demand
• Free Online Course