Clustering, Exploratory Data Analysis and Support Vector Machines

Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

FEBRUARY 12, 2024

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Here is a brief description of the same.

Data Science

Data Science Cross Validation Machine Learning Machine Learning

Enhancing Customer Churn Prediction with Continuous Experiment Tracking

Heartbeat

SEPTEMBER 28, 2023

In a typical MLOps project, similar scheduling is essential to handle new data and track model performance continuously. Load and Explore Data We load the Telco Customer Churn dataset and perform exploratory data analysis (EDA). Are there clusters of customers with different spending patterns? #3.

Support Vector Machines

Support Vector Machines Machine Learning Machine Learning ML

Five machine learning types to know

IBM Journey to AI blog

DECEMBER 20, 2023

Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning

Machine Learning Machine Learning Supervised Learning Clustering

Data Science Current

Top 10 Data Science Interviews Questions and Expert Answers

Enhancing Customer Churn Prediction with Continuous Experiment Tracking

Five machine learning types to know

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