Data Science

Titanic dataset classification Python

To classify the Titanic dataset using Python, you will need to follow these steps: Here is an example of how you could classify the Titanic dataset using Python: This code first imports the necessary libraries, then loads the data using Pandas, explores the data, preprocesses the data by dropping missing values and encoding categorical variables, …

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Dimensionality Reduction

Dimensionality reduction is a method used to reduce the number of features or dimensions in a dataset. This is often done to reduce the complexity of the data, make it easier to visualize, or to improve the performance of machine learning algorithms. There are many different techniques for dimensionality reduction, including: Dimensionality reduction can be …

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How to start a Career in Data Science

Data Science: Data science is a field that involves using scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is a interdisciplinary field that includes aspects of computer science, statistics, and subject-specific expertise. It is commonly used to analyze data from experiments, sensors, and research to …

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Difference between AI, Data Science, ML, and DL

Difference between Artificial intelligence, Data Science, Machine Learning, and Deep Learning Artificial intelligence: Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. These machines are trained to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language …

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Data Science

Data science is a field that involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data scientists use a variety of techniques from statistics, machine learning, and computer science to analyze and interpret data, and to build predictive models and data-driven solutions to real-world problems. Data science …

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Generative Adversarial Network (GAN)

A Generative Adversarial Network (GAN) is a type of machine learning model that is composed of two parts: a generator and a discriminator. The generator model generates fake data, such as fake images, while the discriminator model attempts to classify the fake data as real or fake. The generator and discriminator models are trained together …

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Machine Learning Basics with example python

Machine learning is a method of teaching computers to learn from data, without being explicitly programmed. It involves using algorithms to analyze and understand complex data, and to make predictions or decisions based on that data. There are many different types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, …

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