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.

Python 52

Python ML ML Exploratory Data Analysis 52

Towards AI

FEBRUARY 21, 2023

Machine Learning Project in Python Step-By-Step — Predicting Employee Attrition AI for Human Resources: Predict attrition of your valuable employees using Machine Learning Photo by Marvin Meyer on Unsplash Human Resources & AI An organization’s human resources (HR) function deals with the most valuable asset: people. 0.93recall 0.98

Machine Learning 98

Machine Learning Machine Learning Python Exploratory Data Analysis 98

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?

Data Analysis 52

Data Analysis Data Analysis Python Data Analyst 52

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. Python’s simplicity, versatility, and extensive library support make it the go-to language for AI development.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

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.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Dataconomy

AUGUST 16, 2023

Data scientists are the master keyholders, unlocking this portal to reveal the mysteries within. They wield algorithms like ancient incantations, summoning patterns from the chaos and crafting narratives from raw numbers. Model development : Crafting magic from algorithms! Work Works with larger, more complex data sets.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

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.

K-nearest Neighbors 52

K-nearest Neighbors Machine Learning Machine Learning Algorithm 52

Mlearning.ai

MAY 5, 2023

These models, which are based on artificial intelligence and machine learning algorithms, are designed to process vast amounts of natural language data and generate new content based on that data. It wasn’t until the development of deep learning algorithms in the 2000s and 2010s that LLMs truly began to take shape.

Natural Language Processing 98

Natural Language Processing Deep Learning Deep Learning Exploratory Data Analysis 98

Towards AI

APRIL 19, 2024

Finally, specific algorithms should run on top of that 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.

Analytics 105

Analytics Analytics Data Analysis Data Analysis 105

Pickl AI

MAY 30, 2024

You will collect and clean data from multiple sources, ensuring it is suitable for analysis. You will perform Exploratory Data Analysis to uncover patterns and insights hidden within the data. Internal company data, like sales records or customer feedback, is also valuable.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Towards AI

MARCH 1, 2023

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 Exploratory Data Analysis — EDA Let us now check the missing values in the dataset.

Machine Learning 52

Machine Learning Machine Learning Python Exploratory Data Analysis 52

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

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.

ML 84

ML ML Database AWS 84

DataRobot Blog

DECEMBER 15, 2022

For code-first users, we offer a code experience too, using the AP—both in Python and R—for your convenience. Prepare your data for Time Series Forecasting. Perform exploratory data analysis. Once the data is ready to start the training process, you need to choose your target variable.

Exploratory Data Analysis 81

Exploratory Data Analysis AI AI Machine Learning 81

Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. These languages are used for data manipulation, analysis, and building machine learning models.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JULY 10, 2024

AI encompasses various technologies and applications, from simple algorithms to complex neural networks. On the other hand, ML focuses specifically on developing algorithms that allow machines to learn and make predictions or decisions based on data. Hands-on coding exercises in Python and R.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

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. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

Data Science 52

Data Science ML ML Machine Learning 52

Pickl AI

JULY 18, 2023

By transitioning from computer science to data science, you can tap into a broader range of job opportunities and potentially increase your earning potential. Leveraging existing skills: Computer science provides a strong foundation in programming, algorithms, and problem-solving, which are highly valuable in data science.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

FEBRUARY 22, 2024

MicroMasters Program in Statistics and Data Science MIT – edX 1 year 2 months (INR 1,11,739) This program integrates Data Science, Statistics, and Machine Learning basics. It emphasises probabilistic modeling and Statistical inference for analysing big data and extracting information.

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

Mlearning.ai

APRIL 10, 2023

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. 3 feature visual representation of a K-means Algorithm.

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. TensorFlow, Scikit-learn, Pandas, NumPy, Jupyter, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

SEPTEMBER 30, 2024

Several key concepts and terms are fundamental to grasping how MDS works: Distance or Dissimilarity Matrix At the core of MDS lies a matrix that quantifies the distances between each pair of data points. This matrix serves as the MDS algorithm’s input, guiding the points’ placement in the reduced space.

Data Analysis 52

Data Analysis Data Analysis Python Algorithm 52

Pickl AI

APRIL 26, 2024

I conducted thorough data validation, collaborated with stakeholders to identify the root cause, and implemented corrective measures to ensure data integrity. I would perform exploratory data analysis to understand the distribution of customer transactions and identify potential segments.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

FEBRUARY 12, 2024

Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques. Differentiate between supervised and unsupervised learning algorithms.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

PyImageSearch

JANUARY 23, 2023

In this tutorial, you will learn the magic behind the critically acclaimed algorithm: XGBoost. But all of these algorithms, despite having a strong mathematical foundation, have some flaws or the other. Applying XGBoost to Our Dataset Next, we will do some exploratory data analysis and prepare the data for feeding the model.

Deep Learning 101

Deep Learning Deep Learning Algorithm Decision Trees 101

Pickl AI

JULY 20, 2023

These may range from Data Analytics projects for beginners to experienced ones. Following is a guide that can help you understand the types of projects and the projects involved with Python and Business Analytics. Here are some project ideas suitable for students interested in big data analytics with Python: 1.

Analytics 40

Analytics Analytics Big Data Big Data 40

Mlearning.ai

JULY 17, 2023

Introduction Clustering Clustering is a fundamental technique in the field of machine learning that aims to group similar data points together based on their inherent characteristics or properties. It is a form of unsupervised learning , which means it does not require labeled training data or predefined target variables.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 5, 2024

Data Preparation: Cleaning, transforming, and preparing data for analysis and modelling. Algorithm Development: Crafting algorithms to solve complex business problems and optimise processes. Data Visualization: Ability to create compelling visualisations to communicate insights effectively.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

OCTOBER 14, 2024

Exploratory Data Analysis (EDA) Exploratory Data Analysis (EDA) is an approach to analyse datasets to uncover patterns, anomalies, or relationships. The primary purpose of EDA is to explore the data without any preconceived notions or hypotheses.

Data Analysis 52

Data Analysis Data Analysis EDA Data Mining 52

Pickl AI

APRIL 10, 2023

Data Science Course If you are looking for one of the best Data Science courses in India on an online forum, then Pickl.AI The course has been designed in alignment with the industry standard and assures complete expertise in Data Science. offers a host of courses.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Pickl AI

JANUARY 12, 2023

This Data Science professional certificate program is industry-recognized and incorporates all the fundamentals of Data Science along with Machine Learning and its practical applications. The Udacity’s Data Science and Machine Learning course covers a wide range of topics in Data Science and Machine Learning.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

The MLOps Blog

MAY 31, 2023

The ML platform can utilize historic customer engagement data, also called “clickstream data”, and transform it into features essential for the success of the search platform. From an algorithmic perspective, Learning To Rank (LeToR) and Elastic Search are some of the most popular algorithms used to build a Seach system.

ML 59

ML ML Algorithm Machine Learning 59

Pickl AI

SEPTEMBER 12, 2024

Basic Data Science Terms Familiarity with key concepts also fosters confidence when presenting findings to stakeholders. Below is an alphabetical list of essential Data Science terms that every Data Analyst should know. Anomaly Detection: Identifying unusual patterns or outliers in data that do not conform to expected behaviour.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Machine Learning Machine Learning 52

Pickl AI

APRIL 3, 2025

Exploratory Data Analysis (EDA): Using statistical summaries and initial visualisations (yes, visualisation plays a role within analysis!) to understand the data’s main characteristics, distributions, and relationships. Think of it as preparing your ingredients before cooking. This helps formulate hypotheses.

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Data Pipeline 52

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning 52

Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

Data Pipeline 52

Data Pipeline Exploratory Data Analysis Data Scientist Machine Learning 52