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Google Gemini is a set of large language models (LLMs) that will power many Google products and services. Read the blog for details: Introducing Gemini: our largest and most capable AI model https://blog.google/technology/ai/google-gemini-ai/

There is a popular method known as elbow method which is used to determine the optimal value of K to perform the K-Means Clustering Algorithm. The basic idea behind this method is that it plots the various values of cost with changing k. As the value of K increases, there will be fewer elements in the cluster. ML |

Univariate statistics summarize only one variable at a time. Bivariate statistics compare two variables. Multivariate statistics compare more than two variables. Univariate, Bivariate and Multivariate data and its analysis Introduction to Univariate, Bivariate and Multivariate Analysis

The main difference between supervised and unsupervised learning is the need for labeled training data. Supervised learning Uses labeled input and output data. The algorithm learns from the training dataset by making predictions and adjusting for the correct answer. The goal is to train the model to predict the output when given new data. Unsupervised learning Processes unlabelled

Python is a programming language widely used by Data Scientists. Python has in-built mathematical libraries and functions, making it easier to calculate mathematical problems and to perform data analysis. Data Science is applied to gather multiple data sets to collect information and project the insight and interpret it to make an effective business decision Data

The hardest parts of data science What the Hardest Thing About Data Science Hard Problems in Data Science: Causality, Sequential Learning and Complex Dynamic Theories The Hardest Part of Data Science?

SQL is a standard database language used to communicate with databases. It is widely used for managing and manipulating data in relational databases. It is a powerful tool for data scientists, it allows  to easily retrieve, analyze, and manipulate large sets of data. https://www.geeksforgeeks.org/sql-for-data-science/ https://www.freecodecamp.org/news/learn-sql-to-work-in-data-science/ https://towardsdatascience.com/everything-that-needs-to-master-sql-skills-for-data-science-dca851995b8d