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AI for Medical Diagnosis
by Pranav Rajpurkar , Bora Uyumazturk , Amirhossein Kiani , Eddy Shyu- 4.7
Approx. 19 hours to complete
- In Course 1, you will create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders. - In Course 2, you will build risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis. Evaluating models...
Decision Trees, Random Forests, Bagging & XGBoost: R Studio
by Start-Tech Academy- 4.5
6 hours on-demand video
Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming You're looking for a complete Decision tree course that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in R, right? Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning....
$12.99
Quantitative Finance & Algorithmic Trading in Python
by Holczer Balazs- 4.5
14.5 hours on-demand video
The main reason of this course is to get a better understanding of mathematical models concerning the finance in the main. the problem with financial models and historical data Section 7 - Random Behavior in Finance random behavior Section 11 - Interest Rate Models Understand interest rate models (Vasicek model)...
$18.99
Probabilistic Graphical Models 2: Inference
by Daphne Koller- 4.6
Approx. 38 hours to complete
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. Inference in Temporal Models Inference in Temporal Models Inference in Temporal Models...
Algorithmic Trading & Time Series Analysis in Python and R
by Holczer Balazs- 4.3
17.5 hours on-demand video
The main reason of this course is to get a better understanding of mathematical models concerning algorithmic trading and finance in the main. Section 7 - Random Walk Model modelling assets with random walk...
$17.99
Python for Machine Learning and Data Mining
by CARLOS QUIROS- 3.6
12.5 hours on-demand video
- Linear and Multiple Regression- Regularization- Polynomial Regression- Logistic Regression- Cross Validation- Support Vector Machines for Regression and Classification- Decision Trees and Random Forest- KNN algorithm- GridSearchCV- Principal Component Analysis (PCA)- Linear Discriminant Analysis (LDA)- Kernel Principal Component Analysis (KPCA)- Ensemble methods- K means clustering analysis- Market Basquet Analysis- Time Series with ARIMA models- Gradient Descent- Multilayer Neural Networks...
$11.99
Machine Learning with Python, scikit-learn and TensorFlow
by Packt Publishing- 3.2
9.5 hours on-demand video
Explore popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks You’ll build your own models from scratch. Yuxi (Hayden) Liu is currently an applied research scientist focused on developing machine learning models and systems for given learning tasks....
$12.99
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Financial Engineering and Artificial Intelligence in Python
by Lazy Programmer Team- 4.7
20 hours on-demand video
Random Walk Hypothesis Statistical Factor Models (VIP only) Regime Detection with Hidden Markov Models (VIP only) Regression models Classification models Statistical factor models Random Walk Hypothesis...
$199.99
Machine Learning, incl. Deep Learning, with R
by Bert Gollnick- 4
15.5 hours on-demand video
You will understand the advantages and disadvantages of different models and when to use which one. You will learn to build state-of-the-art Machine Learning models with R. Deep Learning models with Keras for Regression and Classification tasks Regression Models (e. Classification Models (e. Confusion Matrix, ROC, Logistic Regression, Decision Trees, Random Forests, SVM, Ensemble Learning)...
$11.99
Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN)
by Modeste Atsague- 3.3
3 hours on-demand video
How to combine models to predict Missing values treatment ,variables selection and prediction using a linear regression model K mean Clustering ...
$9.99