statistical modeling
+1Contingency Tables in R
In this tutorial, you'll learn how to create contingency tables and how to test and quantify relationships visible in them.git
+1GIT SETUP: The Definitive Guide
In this tutorial, you'll learn how to set up Git on your computer in different operating systems.python
+2Introduction to Deep Learning in Python
Learn the basics of deep learning and neural networks along with some fundamental concepts and terminologies used in deep learning.machine learning
+1Introduction to H2O AutoML
In this tutorial, you will learn about H2O and have a glimpse of its autoML functionality.python
+1Stocks, Significance Testing & p-Hacking
Learn how to manipulate time series data with pandas and conduct significance testing through simulation using Python, to analyze stock market volatility.python
Introduction to Python Metaclasses
In this tutorial, learn what metaclasses are, how to implement them in Python, and how to create custom ones.Shareable Data Science with Kyso
In this tutorial, you’ll learn how to create publishable and reproducible data science studies on Kyso’s platform, using interactive plotly visualizations.bayes
+2Naive Bayes Classification using Scikit-learn
Learn how to build and evaluate a Naive Bayes Classifier using Python's Scikit-learn package.python
Introduction to Reinforcement Learning
In this tutorial, you'll learn the basic concepts and terminologies of reinforcement learning. At the end of the tutorial, we'll discuss the epsilon-greedy algorithm for applying reinforcement learning based solutions.r programming
+1Regularization: Ridge, Lasso and Elastic Net
In this tutorial, you will get acquainted with the bias-variance trade-off problem in linear regression and how it can be solved with regularization.python
Working With Zip Files In Python
In this tutorial, you are going to learn how to work with Zip Files in Python using the zipfile module. zipfile is a Python built-in module.machine learning
+2Automated Machine Learning with Auto-Keras
Learn about automated machine learning and how it can be done with auto-keras.machine learning
+2Introduction to Machine Learning in Python
In this tutorial, you will be introduced to the world of Machine Learning (ML) with Python. To understand ML practically, you will be using a well-known machine learning algorithm called K-Nearest Neighbor (KNN) with Python.r programming
+3Comparison of BI and Analytics Platforms
In this tutorial, you will learn about different factors that are taken into consideration before choosing your Analytics Platform both at the organization and individual level.r programming
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