Pickl AI

AUGUST 22, 2023

In this comprehensive article, we delve into the depths of feature scaling in Machine Learning, uncovering its importance, methods, and advantages while showcasing practical examples using Python. Understanding Feature Scaling in Machine Learning: Feature scaling stands out as a fundamental process.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 52

Mlearning.ai

APRIL 6, 2023

In this article, we will discuss some of the factors to consider while selecting a classification & Regression machine learning algorithm based on the characteristics of the data. For larger datasets, more complex algorithms such as Random Forest, Support Vector Machines (SVM), or Neural Networks may be more suitable.

Machine Learning 52

Machine Learning Machine Learning Algorithm Decision Trees 52

Mlearning.ai

FEBRUARY 17, 2023

Basically, Machine learning is a part of the Artificial intelligence field, which is mainly defined as a technic that gives the possibility to predict the future based on a massive amount of past known or unknown data. In this article, I will cover all of them. It’s a fantastic world, trust me!

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

ODSC - Open Data Science

JANUARY 5, 2024

In this article, I will provide my top five reasons for using the Seaborn library to create data visualizations with Python. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels! Not a bad list right?

Python 52

Python K-nearest Neighbors Data Science Data Visualization 52

Mlearning.ai

JULY 4, 2023

One such intriguing aspect is the potential to predict a user’s race based on their tweets, a task that merges the realms of Natural Language Processing (NLP), machine learning, and sociolinguistics. With the preprocessed data in hand, we can now employ pyCaret, a powerful machine learning library, to build our predictive models.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 52

Towards AI

JULY 19, 2023

Dealing with imbalanced data is pretty common in the real-world and these articles by German Lahera and on DataCamp are good places to learn about them. among supervised models and k-nearest neighbors, DBSCAN, etc., This is clearly an imbalanced dataset! among unsupervised models.

Machine Learning 40

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 40

Pickl AI

JULY 26, 2023

The concepts of bias and variance in Machine Learning are two crucial aspects in the realm of statistical modelling and machine learning. Understanding these concepts is paramount for any data scientist, machine learning engineer, or researcher striving to build robust and accurate models.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

Pickl AI

NOVEMBER 18, 2024

Summary: The blog provides a comprehensive overview of Machine Learning Models, emphasising their significance in modern technology. It covers types of Machine Learning, key concepts, and essential steps for building effective models. The global Machine Learning market was valued at USD 35.80 billion by 2031 at a CAGR of 34.20%.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. By understanding crucial concepts like Machine Learning, Data Mining, and Predictive Modelling, analysts can communicate effectively, collaborate with cross-functional teams, and make informed decisions that drive business success.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Mlearning.ai

FEBRUARY 15, 2023

K-Nearest Neighbou r: The k-Nearest Neighbor algorithm has a simple concept behind it. The method seeks the k nearest neighbours among the training documents to classify a new document and uses the categories of the k nearest neighbours to weight the category candidates [3].

Cross Validation 52

Cross Validation Decision Trees Algorithm Natural Language Processing 52

Mlearning.ai

MAY 23, 2023

In this article, we will explore some common data science interview questions that will help you prepare and increase your chances of success. The K-Nearest Neighbor Algorithm is a good example of an algorithm with low bias and high variance. Another example can be the algorithm of a support vector machine.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Dataconomy

DECEMBER 12, 2024

Based on this fingerprint, machine learning is able to find the file type in the model – the one we taught it with known files – that best fits it. Support Vector Machines (SVM) : A good choice when the boundaries between file formats, i.e. decision surfaces, need to be defined on the basis of byte frequency.

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K-nearest Neighbors Machine Learning Machine Learning Support Vector Machines 91