Support Vector Machine Fee: 650 UAH
Online“Support Vector Machine” (SVM) is a supervised machine learning algorithm which can be used for both classification or regression challenges. Let's talk in more details.
DEVrepublik
Visit our upcoming webinars
Computer Vision Introduction Fee: 650 UAH
OnlineIntro to object detection using CV. Let's talk in more details.
Statistical Hypothesis TestingFee: 650 UAH
OnlineAll Data Scientists want just one thing and that’s disgusting. It’s “p-value < 0.05”. We are going to talk about how to set up and run statistical hypothesis tests, what’s the difference between null and alternative hypothesis, what is p-value and why we want it to be small. We will cover significance testing of population means and proportions, starting with theory and showing how it can be done in Python and R.
Data Science project workflow Fee: 650 UAH
OnlineThe description of the data science project and the algorythm of work. Let's talk in more details.
Model deployment, using Flask Fee: 650 UAH
OnlineYour model is ready and now is the time to deploy it into productio. Here we will tell you how to do it, using Flask. Let's talk in more details.
Linear Regression and Math behind it Fee: 650 UAH
OnlineWe are going to talk about linear regression, one of the most well known and well understood algorithms in machine learning. We are going to focus on the simple linear regression, which contains only one input variable. But the same logic and analyses will extend to the multi-variable linear regression. Let's talk in more details.
Logistic Regression and Math behind it Fee: 650 UAH
OnlineWe go over the basics of logistic regression: what is logistic regression, when to use it, what is maths behind it and why we need it. Let's talk in more details.
Boosting, part 1: Adaboost Fee: 650 UAH
OnlineAdaBoost (adaptive boosting) is an ensemble learning algorithm that can be used for classification or regression. Although AdaBoost is more resistant to overfitting than many machine learning algorithms, it is often sensitive to noisy data and outliers. Let's talk in more details.
Boosting, part 2: Gradient Boosting, XGboost Fee: 650 UAH
OnlineGradient Boosting is another technique for performing supervised machine learning tasks, like classification and regression. XGBoost stands for Extreme Gradient Boosting; it is a specific implementation of the Gradient Boosting method which uses more accurate approximations to find the best tree model. It employs a number of nifty tricks that make it exceptionally successful, particularly with structured data. Let's talk in more details.
Classification and Regression Trees Fee: 650 UAH
OnlineA decision tree is a supervised machine learning model used to predict a target by learning decision rules from features. Classification and Regression Trees is a term to refer to Decision Tree algorithms that can be used for classification or regression predictive modelling problems. Let's talk in more details.
Loss Functions Fee: 650 UAH
OnlineThe loss function is the bread and butter of modern machine learning; it takes your algorithm from theoretical to practical and transforms neural networks from glorified matrix multiplication into deep learning. Let's talk in more details.
Power BI, Google Data Studio Fee: 650 UAH
OnlineDescription of the necessaity of working with data visualization tools. Let's talk in more details.
