Analytics Vidhya

MARCH 23, 2022

This article was published as a part of the Data Science Blogathon. The post Exploratory Data Analysis (EDA) – Credit Card Fraud Detection Case Study appeared first on Analytics Vidhya.

Exploratory Data Analysis 249

Exploratory Data Analysis EDA Data Analysis Data Analysis 249

Data Science Dojo

OCTOBER 2, 2023

ChatGPT plugins can be used to extend the capabilities of ChatGPT in a variety of ways, such as: Accessing and processing external data Performing complex computations Using third-party services In this article, we’ll dive into the top 6 ChatGPT plugins tailored for data science.

Data Science 497

Data Science Machine Learning Machine Learning Data Analysis 497

Analytics Vidhya

JANUARY 18, 2022

This article was published as a part of the Data Science Blogathon. The post Flight Fare Prediction Using Machine Learning appeared first on Analytics Vidhya.

Machine Learning 281

Machine Learning Machine Learning Exploratory Data Analysis Data Analysis 281

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon What is Hypothesis Testing? Any data science project starts with exploring the data. When we perform an analysis on a sample through exploratory data analysis and inferential statistics we get information about the sample.

Hypothesis Testing 294

Hypothesis Testing Machine Learning Machine Learning Exploratory Data Analysis 294

Analytics Vidhya

MAY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. In this article, I will […]. In this article, I will […].

Machine Learning 366

Machine Learning Machine Learning Data Science Analytics 366

Data Science Dojo

DECEMBER 14, 2023

As we delve into 2023, the realms of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. Join us as we delve into each of these top blogs, uncovering how they help us stay at the forefront of learning and innovation in these ever-changing industries.

Data Science 195

Data Science Natural Language Processing AI AI 195

Data Science Dojo

JULY 5, 2023

Machine Learning (ML) is a powerful tool that can be used to solve a wide variety of problems. However, building and deploying a machine-learning model is not a simple task. It requires a comprehensive understanding of the end-to-end machine learning lifecycle.

Machine Learning 195

Machine Learning Machine Learning EDA Exploratory Data Analysis 195

Heartbeat

JANUARY 24, 2024

The importance of EDA in the machine learning world is well known to its users. Making visualizations is one of the finest ways for data scientists to explain data analysis to people outside the business. Exploratory data analysis can help you comprehend your data better, which can aid in future data preprocessing.

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Data Analysis Data Analysis 52

Analytics Vidhya

APRIL 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Jupyter notebook is an important data science tool. It is used by many data science professionals to do exploratory data analysis and also to prototype machine learning models.

Exploratory Data Analysis 234

Exploratory Data Analysis Data Science Data Analysis Data Analysis 234

Analytics Vidhya

JULY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Therefore, I have listed […].

Data Analysis 366

Data Analysis Data Analysis Exploratory Data Analysis Data Science 366

Analytics Vidhya

FEBRUARY 19, 2022

This article was published as a part of the Data Science Blogathon. The post Classifying Sexual Harassment using Machine Learning appeared first on Analytics Vidhya. However, this plethora of information can be used effectively to automatically classify abuse incidents into […].

Machine Learning 232

Machine Learning Machine Learning Data Science Analytics 232

Towards AI

APRIL 7, 2024

Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care. This article seeks to also explain fundamental topics in data science such as EDA automation, pipelines, ROC-AUC curve (how results will be evaluated), and Principal Component Analysis in a simple way.

Machine Learning 119

Machine Learning Machine Learning Exploratory Data Analysis EDA 119

Towards AI

SEPTEMBER 7, 2023

Photo by Adam Śmigielski on Unsplash It’s a great time to be a data scientist! What takes a lot of time to put together can be automated now, leaving much room to improve insights-creation and the machine learning model design.

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Exploratory Data Analysis Data Analysis Data Analysis Data Scientist 127

Data Science Dojo

MARCH 7, 2023

As data science evolves and grows, the demand for skilled data scientists is also rising. A data scientist’s role is to extract insights and knowledge from data and to use this information to inform decisions and drive business growth.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Visualization Machine Learning 221

Data Science Dojo

DECEMBER 14, 2023

7 types of statistical distributions with practical examples Statistical distributions help us understand a problem better by assigning a range of possible values to the variables, making them very useful in data science and machine learning.

Natural Language Processing 195

Natural Language Processing Exploratory Data Analysis Machine Learning Machine Learning 195

Analytics Vidhya

MARCH 16, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Working with dataset Creating loss dataframe Visualizations Analysis from Heatmap Overall Analysis Conclusion Introduction In this article, I am going to perform Exploratory Data Analysis on the Sample Superstore dataset.

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EDA Exploratory Data Analysis Python Data Analysis 267

Towards AI

FEBRUARY 26, 2024

Photo by Helena Lopes on Unsplash Before getting into Machine Learning Project Series — Part II, Click Here to see Machine Learning Project Series — Part I. You can see the code as mentioned below to gather data and to do exploratory data analysis. Table of Contents 1. get_ylim()[1] ax[i].set_ylim(top=ylim_top

Machine Learning 101

Machine Learning Machine Learning Exploratory Data Analysis Data Analysis 101

Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. Opportunities abound in sectors like healthcare, finance, and automation.

Data Science 52

Data Science ML ML Machine Learning 52

Dataconomy

JUNE 29, 2023

Python machine learning packages have emerged as the go-to choice for implementing and working with machine learning algorithms. These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices.

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

Towards AI

FEBRUARY 3, 2024

Photo by Markus Winkler on Unsplash Let’s get started: Machine Learning has become the most demanding and powerful tool in different domains of several industries in this digital era to solve many complex problems by revolutionizing the way of approaching those problems. This process is called Exploratory Data Analysis(EDA).

Machine Learning 117

Machine Learning Machine Learning Exploratory Data Analysis Data Scientist 117

Pickl AI

MARCH 26, 2024

Summary: The KNN algorithm in machine learning presents advantages, like simplicity and versatility, and challenges, including computational burden and interpretability issues. Nevertheless, its applications across classification, regression, and anomaly detection tasks highlight its importance in modern data analytics methodologies.

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K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Data Science skills that will help you excel professionally.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Where to start?

Data Science 104

Data Science Exploratory Data Analysis Machine Learning Machine Learning 104

AWS Machine Learning Blog

AUGUST 28, 2023

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. Participants, both high school and undergraduate students, competed on a data science project that focused on air quality and sustainability.

Data Science 69

Data Science AWS Machine Learning Machine Learning 69

Pickl AI

MARCH 20, 2023

Data Science is a job role in the world that is gaining momentum with time and estimations suggest that more than 11 million job vacancies will flood by 2026 in India. Accordingly, many aspirants are emerging in the field to learn Data Science and develop skills, transitioning into the career. in India today.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

While specific requirements may vary depending on the organization and the role, here are the key skills and educational background that are required for entry-level data scientists — Skillset Mathematical and Statistical Foundation Data science heavily relies on mathematical and statistical concepts.

Data Science 52

Data Science Data Scientist Apache Hadoop Machine Learning 52

Dataconomy

MAY 16, 2023

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

ODSC - Open Data Science

OCTOBER 18, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Nevertheless, we are still left with the question: How can we do machine learning better? billion in 2022, an increase of 21.3%

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

Pickl AI

OCTOBER 17, 2023

This blog discusses best practices, real-world use cases, security and privacy considerations, and how Data Scientists can use ChatGPT to their full potential. Machine Learning Models: How Data Scientists Use ChatGPT Data Scientists use ChatGPT as a powerful ally in the ever-evolving field of Data Science.

Data Scientist 52

Data Scientist Machine Learning Machine Learning Data Analysis 52

Towards AI

DECEMBER 31, 2023

In this practical Kaggle notebook, I went through the basic techniques to work with time-series data, starting from data manipulation, analysis, and visualization to understand your data and prepare it for and then using statistical, machine, and deep learning techniques for forecasting and classification.

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Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Women in Big Data

APRIL 17, 2024

His expertise in Artificial Intelligence and Machine Learning and engaging teaching style made the workshop an enriching experience. The “From Data to Decisions” workshop provided a fantastic foundation for understanding how statistics bridge the gap to powerful machine learning applications.

Exploratory Data Analysis 52

Exploratory Data Analysis EDA Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JANUARY 12, 2023

Due to the growing application of Data Science in different industries, companies are now looking forward to hiring individuals and training their employees on newer technologies that can eventually help the organization attain its goals. Best Data Science courses for working professionals 1.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

APRIL 10, 2023

So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. There is a growing demand for employees with digital skills The world is drifting towards data-based decision making In India, a technology analyst can make between ₹ 5.5

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Mlearning.ai

JULY 11, 2023

Before embarking on a data science transition, it’s crucial to be aware of these key factors. Before diving into the world of data science, it is essential to familiarize yourself with certain key aspects. The process or lifecycle of machine learning and deep learning tends to follow a similar pattern in most companies.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Towards AI

APRIL 7, 2024

U+1F44B Welcome to another exciting journey in the realm of machine learning. Deploying machine learning models. Why learning to deploy the ML model is important? Now, you might be wondering, “Why bother with deploying a frontend for my machine learning model?”

Azure 101

Azure Exploratory Data Analysis Machine Learning Machine Learning 101