data science learning path
Venturing into the world of Data Science is an exciting, interesting, and rewarding path to consider. There is a great deal to master, and this self-learning recommendation plan will guide you toward establishing a solid understanding of all that is foundational to data science as well as a solid portfolio…
Jupyter Notebook is a powerful tool for data analysis. Here are 28 tips, tricks and shortcuts to turn you into a Jupyter notebooks power user!
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This post compares some of the prominent features of Pig Hadoop and Hive Hadoop to help users understand the difference between them.
This data visualisation provides an overview of a sample Omni-Channel Commerce solution and some of the coordinated elements required behind the scenes to obtain a 360-degree view of the customer across channels. The lines in the center of the diagram rep…
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In this note, we discuss principal components regression and some of the issues with it: The need for scaling. The need for pruning. The lack of “y-awareness” of the standard dimensionality reduction step. The purpose of this article is to set the stage for presenting dimensionality reduction techniques appropriate for predictive modeling, such as y-aware…
Wes McKinney hated the idea of researchers wasting their time, so he created the wildly popular data science tool called "Pandas" for the Python programming language.
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Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for Classification as well as Regression problems. How...
Explore the process to install RStudio, R and R Packages along with their updation in different operating systems. Also, learn about the R Packages concept thoroughly.
🔥🔥Intellipaat Data Science training: https://intellipaat.com/data-scientist-course-training/In this video you will know how to learn data science and how t...
CyberSecurity Summary is your go-to podcast for concise and insightful summaries of the latest and most influential books in the field of cybersecurity. Each episode delves into the core concepts, key takeaways, and practical applications of these books.
Google AI introduces TF-Coder, a program synthesis tool that helps you write TensorFlow code
Post Graduate Program in Data Science course gives you wide coverage of main ideas and techniques from Python, Data Analysis to Machine Learning, and more. Careerera helps to equip your career PGP program in Data Science.
I have been frequently asked about the tools for the Machine Learnign projects There are lot of them on the market so in my newest post you will find my view on them. I would like to start my first Machine Learning project. But I do not have tools. What should I do? What are… Read More »The tools you should know for the Machine Learning projects
introducing principles and applications of semantic chunking
