This section of my blog focus on using Machine Learning Methods for data science. I discuss various Machine Learning algorithms that I have been using during my career.
Effective communication of insights is essential for data scientists, as it allows them to share their findings with stakeholders and influence decision-making. However, communicating insights can be challenging, especially when dealing with complex or technical concepts. Here are some tips for effectively communicating insights to stakeholders: Know your audience Use clear and simple language Use …
If you are on the route of being a data analyst or data scientists, these are the top things that I will suggest you. These helped me, and I hope that considering these will help you as well. 1. KEEP LEARNING Data science is a rapidly evolving field, and it is important to stay up …
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Github is a popular platform for hosting and collaborating on software projects. It is used by millions of developers around the world to share code, track changes, and manage project workflows. There are a number of benefits to using GitHub that make it an essential tool for many developers and organizations. One of the main benefits …
Docker orchestration is the process of managing and coordinating multiple Docker containers to work together as a single system. This can be especially useful for applications that are composed of multiple microservices, as it allows developers to easily deploy, scale, and manage the individual components of the application. One of the main benefits of using Docker orchestration is that it …
ChatGPT is a state-of-the-art natural language processing (NLP) model developed by OpenAI that is designed to generate human-like text based on a given prompt. This revolutionary technology has the potential to transform the way we interact with artificial intelligence (AI) and could play a significant role in shaping the future of the field. One of the …
DECISION TREE VS. LOGISTIC REGRESSION – WHEN TO USE WHAT? Decision Tree and logistic regression are two popular machine learning algorithms that are often used for classification tasks. While both approaches can be effective in certain situations, they have a number of important differences that make them more suitable for certain types of problems. One of the main …
Auto machine learning (AutoML) is a relatively new field that aims to make the process of building and deploying machine learning models more efficient and accessible to a wider range of users. By automating many of the steps involved in the machine learning process, AutoML allows even those with limited technical expertise to build and deploy powerful …
The pandas library has a powerful set of tools for working with dates and times, located in the datetime module. In this blog post, we’ll explore some of the ways that you can use this module to manipulate and analyze datetime data in your pandas DataFrames. CREATING DATETIME OBJECTS One of the first things you might want to do when working …
Virtual environments are an important tool for Python developers as they allow you to create isolated environments for your Python projects. This means that you can have multiple projects on your computer, each with their own dependencies and packages, without any conflicts. In this essay, we will highlight some of the main benefits of using virtual environments in Python. One …
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H2O AutoML is a powerful tool for automating the machine learning process, including model selection and hyperparameter optimization. It provides a range of models for different types of data and prediction tasks. Here are some key models available in H2O AutoML: 1. GENERALIZED LINEAR MODELS Generalized linear models (GLMs) are a class of models that can be …
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