Courses from 1000+ universities
Coursera sees headcount decrease and faces lawsuit in 2023, invests in proprietary content while relying on Big 5 partners.
600 Free Google Certifications
Language Learning
Information Technology
Leadership
Competitive Strategy
Functional Programming Principles in Scala
Medical Parasitology | 医å¦å¯„生虫å¦
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn to code an LSTM unit from scratch and train it with PyTorch and Lightning in less than an hour with StatQuest. Gain insights on adding training epochs and visualizing results.
Learn to handle large sequences of data using Long Short-Term Memory (LSTM) with StatQuest's under 1-hour material. Understand LSTM stages and see it in action with real data.
Learn to code neural networks using PyTorch and Lightning with StatQuest. This under 1-hour program simplifies coding, enhances portability, and helps find optimal learning rates.
Learn to create and optimize neural networks using PyTorch with StatQuest's under 1-hour tutorial. Assumes familiarity with neural networks and backpropagation.
Learn to derive the Cross Entropy function for Neural Networks and apply it for Backpropagation in less than an hour with StatQuest's guide.
Dive into XGBoost in Python with StatQuest's under 1-hour program. Learn to import data, handle missing data, format data, build and optimize XGBoost models.
Learn to implement Support Vector Machines in Python with StatQuest's concise, under 1-hour material. Covers data importing, handling missing data, downsampling, data formatting, and optimization.
Learn to build and prune classification trees in Python with StatQuest's 1-2 hour material, covering data formatting, handling missing data, and visualizing alpha.
Learn to calculate p-values using discrete and continuous data in less than an hour with StatQuest's Josh Starmer. Understand the difference between 1 and 2-sided p-values.
Dive into advanced XGBoost optimizations with StatQuest's under 1-hour material. Learn about Approximate Greedy Algorithm, Parallel Learning, Sparsity-Aware Split Finding, and more.
Dive into XGBoost trees for classification with StatQuest's under 1-hour material. Assumes familiarity with XGBoost Part 1, Gradient Boost, Odds, and Logistic Function.
Dive into XGBoost's unique regression trees with StatQuest's under 1-hour material, assuming prior knowledge of Gradient Boost for Regression and Regularization.
Unravel the mystery of Support Vector Machines in less than an hour with StatQuest's online material, covering basic concepts, kernel functions, and more.
Learn the fundamentals of Regression Trees in machine learning with StatQuest's concise, less than 1-hour program. Ideal for those familiar with the bias/variance tradeoff, Decision Trees, and Linear Regression.
Understand the concept of covariance with StatQuest's short, engaging video. Learn its computation, uses, and its role as a stepping stone to other statistical concepts.
Get personalized course recommendations, track subjects and courses with reminders, and more.