Pickl AI

JULY 12, 2024

Scikit-learn: A simple and efficient tool for data mining and data analysis, particularly for building and evaluating machine learning models. Data Normalization and Standardization: Scaling numerical data to a standard range to ensure fairness in model training.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

FEBRUARY 12, 2024

Unsupervised learning algorithms, on the other hand, operate on unlabeled data and identify patterns and relationships without explicit supervision. Clustering algorithms such as K-means and hierarchical clustering are examples of unsupervised learning techniques. What is cross-validation, and why is it used in Machine Learning?

Data Science 52

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Pickl AI

OCTOBER 15, 2024

Summary: Statistical Modeling is essential for Data Analysis, helping organisations predict outcomes and understand relationships between variables. Introduction Statistical Modeling is crucial for analysing data, identifying patterns, and making informed decisions.

Decision Trees 52

Decision Trees Hypothesis Testing Clustering Data Analysis 52

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. In my previous role, we had a project with a tight deadline.

Data Analyst 52

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Pickl AI

NOVEMBER 28, 2024

Unsupervised Learning Unsupervised learning involves training models on data without labels, where the system tries to find hidden patterns or structures. This type of learning is used when labelled data is scarce or unavailable. It’s often used in customer segmentation and anomaly detection.

Machine Learning 52

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Pickl AI

SEPTEMBER 12, 2024

Data Cleaning: Raw data often contains errors, inconsistencies, and missing values. Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Visualisation: Effective communication of insights is crucial in Data Science.

Data Analyst 52

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Pickl AI

NOVEMBER 18, 2024

UnSupervised Learning Unlike Supervised Learning, unSupervised Learning works with unlabeled data. The algorithm tries to find hidden patterns or groupings in the data. Clustering and dimensionality reduction are common tasks in unSupervised Learning. For a regression problem (e.g., For unSupervised Learning tasks (e.g.,

Machine Learning 52

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DataRobot Blog

DECEMBER 20, 2022

You can understand the data and model’s behavior at any time. Once you use a training dataset, and after the Exploratory Data Analysis, DataRobot flags any data quality issues and, if significant issues are spotlighted, will automatically handle them in the modeling stage. Rapid Modeling with DataRobot AutoML.

AI 59

AI AI Cross Validation Machine Learning 59

Pickl AI

SEPTEMBER 18, 2024

Tools like pandas and SQL help manipulate and query data , while libraries such as matplotlib and Seaborn are used for data visualisation. Algorithm and Model Development Understanding various Machine Learning algorithms—such as regression , classification , clustering , and neural networks —is fundamental.

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

Mlearning.ai

MAY 23, 2023

The following Venn diagram depicts the difference between data science and data analytics clearly: 3. Data analysis can not be done on a whole volume of data at a time especially when it involves larger datasets. What is Cross-Validation? Perform cross-validation of the model.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Pickl AI

DECEMBER 10, 2024

Projecting data into two or three dimensions reveals hidden structures and clusters, particularly in large, unstructured datasets. Feature Encoding Machine Learning models require numerical inputs, but real-world datasets often include categorical data. Adopt an Iterative Approach Feature extraction is rarely a one-time process.

Machine Learning 52

Machine Learning Machine Learning Algorithm Deep Learning 52

DagsHub

APRIL 21, 2024

Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis. It offers implementations of various machine learning algorithms, including linear and logistic regression , decision trees , random forests , support vector machines , clustering algorithms , and more.

Machine Learning 59

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