While working in the field of data science we often need to work for classification problems. There are so many classification algorithms in machine learning. In this article, we will explore 8 of those most popular machine learning algorithms to solve classification problems. What is Classification Problem? If you are new to data science, you …
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P values and Hypothesis testing are common and important terms in statistics, but they can be confusing to understand. In this post, I will explain what P values are and how to interpret them in statistics with real-life examples.
If you are learning or working in the field of Data Science, you should have clear understanding of what are hypothesis testing and p values in statistics. If you learn those two things then understanding any basic machine learning algorithms like linear regression, and logistic regression will be easier for you. In this tutorial I will explain hypothesis testing with real life examples.
In this post we will explore about: What is Reinforcement Learning? example of reinforcement learning | How RL works | Application of RL | RL python library | Top RL Algorithms
MiniConda is a package management and installation system for machine learning libraries and tools. It provides and easy way to install and update libraries. In this tutorial, I will show you how to install MiniConda and set up the the best environment for machine learning with little space without losing efficiency.
The Naive Bayes algorithm in machine learning, also known as the Naive Bayes classifier, is one of the simplest and most powerful classification algorithms out there. While it’s certainly not the most accurate method (generally speaking), it’s ideal for scenarios where you have very little data but still want to classify your new data into …
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Are you struggling to install Tensorflow with GPU and jupyter notebook in your windows system? This step by step tutorial will assure you for doing that.
Neural Network is used everywhere like speech recognition, face recognition, marketing, healthcare, etc. Artificial Neural networks mimic the behavior of human brain and try to solve any given (data-driven) problem like human. Neural Network consists of multiple layers of Perceptrons. When you fed some input data to Neural Network, this data is then passed through those multiple layers of Perceptrons to produce the desired output. …
PageRank (PR) is an algorithm used by Google Search to rank websites in their search engine is used to find out the importance of a page to estimate how good a website is. It is not the only algorithm used by Google to order search engine results. In this topic I will explain What is …
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