Linear Regression and Correlation
Comprehensive exploration of linear regression and correlation, covering theory, calculations, and practical applications with solved examples and derivations.
Multiple Regression and Correlation
Learn to prove partial correlation coefficient formulas, calculate variances, and derive multiple regression equations using standard deviations and correlation coefficients.
Statistics Tutorials
Comprehensive tutorials covering key statistical concepts, data visualization, clustering, probability, and regression for aspiring data scientists.
IB Math SL Revision
Comprehensive guide for using Casio graphical calculators in IB Math SL exams, covering key statistical concepts and probability distributions with practical examples.
Linear Regression Essentials
Comprehensive overview of linear regression, covering simple and multiple regression, matrix notation, estimator properties, inference, and model evaluation metrics.
Machine Learning
Explore machine learning models through hands-on tutorials in Python and Julia, covering clustering, regression, neural networks, and more. Practical examples with code provided.
Statistics
Comprehensive statistics screencasts for engineers, covering data analysis, regression, distributions, hypothesis testing, and advanced topics with practical applications in MATLAB, Excel, and POLYMATH.
Machine Learning 1 - 2020
Comprehensive introduction to machine learning fundamentals, covering probability theory, regression, classification, neural networks, clustering, and advanced topics like kernels and Gaussian processes.
Linear Regression Made Easy - The Epic Full Story with All Details - Excel Statistical Analysis
Comprehensive guide to linear regression in Excel, covering key calculations, formulas, and visualizations. Learn to interpret data, make predictions, and understand statistical concepts through practical examples.
Basic Excel Business Analytics - Forecasting with Linear Regression: Trend & Seasonal Pattern
Learn advanced Excel forecasting techniques using linear regression for trend and seasonal pattern analysis, including FORECAST function and multiple regression with categorical variables.
Linear Regression vs Logistic Regression - Learn Data Science
This video teaches Linear Regression, Logistic Regression and the key differences between both with a variety of demonstrations & examples to help you get started on the right foot.
Machine Learning with Python Tutorials
Explore AI, machine learning, and deep learning concepts, including linear regression models and practical applications like temperature estimation and virus prediction.
PyTorch Tutorials - Complete Beginner Course
Comprehensive guide to PyTorch: from basics to advanced concepts, covering tensors, neural networks, and model deployment. Ideal for beginners seeking practical skills.
PyTorch Zero to All
Learn essential machine learning and deep learning concepts using PyTorch, covering linear models, neural networks, CNNs, and RNNs in a comprehensive series of lectures.
PyTorch for Python 3.5
Learn PyTorch fundamentals, from linear models to advanced CNNs. Master gradient descent, back-propagation, regression, and neural network architectures for efficient deep learning implementation.
Machine Learning Using Spark MLLib
Learn to implement machine learning algorithms using Spark MLLib, covering linear regression techniques, data preprocessing, model building, and evaluation methods in a hands-on, practical approach.
Machine Learning Fun and Easy
Explore popular machine learning concepts through engaging lectures covering regression, clustering, neural networks, and more. Gain fundamental knowledge in an accessible, enjoyable format.
R Tutorials
Comprehensive R tutorials covering bioinformatics, statistics, and data visualization. Learn to analyze gene expression, perform regression, create plots, and conduct survival analysis using R programming.
Python Data Science Project
Learn Python for data science through hands-on projects covering machine learning, web scraping, exploratory data analysis, and computational drug discovery. Gain practical skills using popular libraries and tools.
Complete Machine Learning in 6 Hours - Krish Naik
Comprehensive machine learning tutorial covering key algorithms, techniques, and practical implementations for regression, classification, clustering, and ensemble methods.
Python Machine Learning & AI Mega Course - Learn 4 Different Areas of ML & AI
Comprehensive exploration of machine learning and AI in Python, covering algorithms, neural networks, chatbots, and game AI. Hands-on projects and in-depth explanations for practical skills development.