Pickl AI

JUNE 5, 2025

Introduction In 2025, the role of a data scientist remains one of the most sought-after and lucrative career paths in India’s rapidly growing technology and business sectors. Data quality issues are common in Indian datasets, so cleaning and preprocessing are critical. Data Manipulation: Pandas, NumPy, dplyr. Master’s and Ph.D.:

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Pickl AI

APRIL 21, 2025

Key Takeaways Big Data focuses on collecting, storing, and managing massive datasets. Data Science extracts insights and builds predictive models from processed data. Big Data technologies include Hadoop, Spark, and NoSQL databases. Data Science uses Python, R, and machine learning frameworks.

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KDnuggets

JUNE 27, 2025

By Natassha Selvaraj , KDnuggets Technical Content Specialist At-Large on June 27, 2025 in Data Science Image by Editor | ChatGPT Data analytics has changed. It is no longer sufficient to know tools like Python, SQL, and Excel to be a data analyst. We will focus on two AI tools in particular - Cursor and Pandas AI.

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Analytics Vidhya

JUNE 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction You might be wandering in the vast domain of AI, and may have come across the word Exploratory Data Analysis, or EDA for short. The post A Guide to Exploratory Data Analysis Explained to a 13-year-old!

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Analytics Vidhya

JUNE 8, 2023

Introduction Imagine you’re working on a dataset to build a Machine Learning model and don’t want to spend too much effort on exploratory data analysis codes. You may sometimes find it confusing to sort, filter, or group data to obtain the required information.

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Data Science Dojo

OCTOBER 2, 2023

This means that you can use natural language prompts to perform advanced data analysis tasks, generate visualizations, and train machine learning models without the need for complex coding knowledge. Here’s an example of a Noteable plugin enabling ChatGPT to help perform geospatial analysis: Source: Noteable.io 3.

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Towards AI

JANUARY 27, 2023

Last Updated on January 27, 2023 by Editorial Team Last Updated on January 27, 2023 by Editorial Team Author(s): Puneet Jindal Originally published on Towards AI. Photo by Luke Chesser on Unsplash EDA is a powerful method to get insights from the data that can solve many unsolvable problems in business.

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Data Science Dojo

MARCH 7, 2023

However, certain technical skills are considered essential for a data scientist to possess. These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling.

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Pickl AI

JUNE 11, 2024

Summary: Exploratory Data Analysis (EDA) uses visualizations to uncover patterns and trends in your data. Histograms, scatter plots, and charts reveal relationships and outliers, helping you understand your data and make informed decisions. Imagine a vast, uncharted territory – your data set.

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ODSC - Open Data Science

FEBRUARY 24, 2023

There are also plenty of data visualization libraries available that can handle exploration like Plotly, matplotlib, D3, Apache ECharts, Bokeh, etc. In this article, we’re going to cover 11 data exploration tools that are specifically designed for exploration and analysis. Output is a fully self-contained HTML application.

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Towards AI

APRIL 7, 2024

Author(s): Juliusnyambok Originally published on Towards AI. Figure 3: The required python libraries The problem presented to us is a predictive analysis problem which means that we will be heavily involved in finding patterns and predictions rather than seeking recommendations. Exploratory Data Analysis is a pre-study.

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Towards AI

FEBRUARY 21, 2023

Last Updated on February 22, 2023 by Editorial Team Author(s): Fares Sayah Originally published on Towards AI. Human resources face many challenges, and AI can help automate and solve some of these challenges. AI can help Human Resources with several tasks.

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Towards AI

AUGUST 7, 2024

Last Updated on August 8, 2024 by Editorial Team Author(s): Gift Ojeabulu Originally published on Towards AI. My story (The Shift from Jupyter Notebooks to VS Code) Throughout early to mid-2019, when I started my data science career, Jupyter Notebooks were my constant companions.

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Smart Data Collective

JUNE 4, 2021

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. Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field.

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Pickl AI

DECEMBER 10, 2023

Discover the power of Python libraries for (partial) automation of Exploratory Data Analysis (EDA). These tools empower both seasoned Data Scientists and beginners to explore datasets efficiently, extracting meaningful insights without the usual time constraints. What are auto EDA libraires?

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Towards AI

APRIL 7, 2024

Last Updated on April 7, 2024 by Editorial Team Author(s): Prashant Kalepu Originally published on Towards AI. This involves visualizing the data and analyzing key statistics. Some popular web frameworks in Python include Flask, Django, and Streamlit. Photo by Lala Azizli on Unsplash Hey there, fellow learners!

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IBM Data Science in Practice

DECEMBER 21, 2023

Data Processing and EDA (Exploratory Data Analysis) Speech synthesis services require that the data be in a JSON format. To access this service, you can use the Python requests library. Save speech data This audio output can be printed and played in a Python Jupyter Notebook.

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Pickl AI

DECEMBER 3, 2024

Summary: Data preprocessing in Python is essential for transforming raw data into a clean, structured format suitable for analysis. It involves steps like handling missing values, normalizing data, and managing categorical features, ultimately enhancing model performance and ensuring data quality.

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Pickl AI

FEBRUARY 4, 2025

Summary : Python data visualisation libraries help transform data into meaningful insights with static and interactive charts. Choosing the proper library improves data exploration, presentation, and industry decision-making. It helps uncover patterns, trends, and correlations that might go unnoticed.

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Pickl AI

AUGUST 27, 2024

Summary: Python simplicity, extensive libraries like Pandas and Scikit-learn, and strong community support make it a powerhouse in Data Analysis. It excels in data cleaning, visualisation, statistical analysis, and Machine Learning, making it a must-know tool for Data Analysts and scientists. Why Python?

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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. Why do you need Python machine learning packages?

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DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

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Pickl AI

NOVEMBER 27, 2024

Summary : Combining Python and R enriches Data Science workflows by leveraging Python’s Machine Learning and data handling capabilities alongside R’s statistical analysis and visualisation strengths. In 2021, the global Python market reached a valuation of USD 3.6 million by 2030.

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AWS Machine Learning Blog

AUGUST 28, 2023

Because most of the students were unfamiliar with machine learning (ML), they were given a brief tutorial illustrating how to set up an ML pipeline: how to conduct exploratory data analysis, feature engineering, model building, and model evaluation, and how to set up inference and monitoring.

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Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence.

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Pickl AI

OCTOBER 9, 2024

Summary: Plotly in Python is a powerful library enabling users to create interactive visualisations easily. Among the many tools available, Plotly in Python stands out for its ability to create dynamic, interactive visualisations. Once the installation is complete, you can create interactive visualisations in Python.

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DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. By simplifying Time Series Forecasting models and accelerating the AI lifecycle, DataRobot can centralize collaboration across the business—especially data science and IT teams—and maximize ROI.

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Towards AI

OCTOBER 31, 2023

Last Updated on November 1, 2023 by Editorial Team Author(s): Mirza Anandita Originally published on Towards AI. Enhancing The Robustness of Regression Model with Time-Series Analysis — Part 1 A case study on Singapore’s HDB resale prices.

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Towards AI

APRIL 19, 2024

Originally published on Towards AI. An idea of Text Analysis. LLMs are broadly incapable of solving such multifaceted tasks, contrary to most text analysis tools, which can seamlessly solve all of the mentioned tasks. It’s an open-source Python package for Exploratory Data Analysis of text.

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AWS Machine Learning Blog

AUGUST 12, 2024

Instead, organizations are increasingly looking to take advantage of transformative technologies like machine learning (ML) and artificial intelligence (AI) to deliver innovative products, improve outcomes, and gain operational efficiencies at scale. To facilitate this, an automated data engineering pipeline is built using AWS Step Functions.

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Towards AI

MARCH 1, 2023

Last Updated on March 14, 2023 by Editorial Team Author(s): Fares Sayah Originally published on Towards AI. Step-By-Step Machine Learning Project in Python — Credit Card Fraud Detection Demonstration of How to Handle Highly Imbalanced Classification Problems Photo by CardMapr on UnsplashWhat is Credit Card Fraud?Credit

Machine Learning 52

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Mlearning.ai

MAY 5, 2023

In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI. Programming Skills : LLMs are typically developed using programming languages like Python, so it’s essential to have strong programming skills.

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Dataconomy

AUGUST 16, 2023

” The answer: they craft predictive models that illuminate the future ( Image credit ) Data collection and cleaning : Data scientists kick off their journey by embarking on a digital excavation, unearthing raw data from the digital landscape. Machine learning and AI : Are you ready to casting predictive spells?

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Pickl AI

JULY 10, 2024

Summary: Explore a range of top AI and Machine Learning courses that cover fundamental to advanced concepts, offering hands-on projects and industry insights. Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation.

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AWS Machine Learning Blog

JUNE 23, 2023

Explore your Snowflake tables in SageMaker Data Wrangler, create a ML dataset, and perform feature engineering. Train and test the models using SageMaker Data Wrangler and SageMaker Autopilot. Use a Python notebook to invoke the launched real-time inference endpoint. Basic knowledge of Python, Jupyter notebooks, and ML.

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Pickl AI

JANUARY 29, 2024

The collective strength of both forms the groundwork for AI and Data Science, propelling innovation. Markets for each field are booming, offering diverse job roles, especially in Machine Learning for Data Analytics. In this era of data deluge, mastering these distinctions becomes more than a choice; it’s a necessity.

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Pickl AI

MAY 30, 2024

Overview of Typical Tasks and Responsibilities in Data Science As a Data Scientist, your daily tasks and responsibilities will encompass many activities. You will collect and clean data from multiple sources, ensuring it is suitable for analysis. Must Check Out: How to Use ChatGPT APIs in Python: A Comprehensive Guide.

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