Data Science Dojo

AUGUST 30, 2023

It leverages algorithms to parse data, learn from it, and make predictions or decisions without being explicitly programmed. From decision trees and neural networks to regression models and clustering algorithms, a variety of techniques come under the umbrella of machine learning.

Data Science 195

Data Science Hypothesis Testing Machine Learning Machine Learning 195

Pickl AI

JULY 18, 2023

Its simplicity, versatility, and extensive range of libraries make it a favorite choice among Data Scientists. However, with libraries like NumPy, Pandas, and Matplotlib, Python offers robust tools for data manipulation, analysis, and visualization. It is popular for its powerful data visualization and analysis capabilities.

Data Science 52

Data Science SQL Data Scientist Apache Hadoop 52

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 55

Machine Learning Machine Learning Data Science Big Data 55

Pickl AI

JULY 10, 2023

Packages like stats, car, and survival are commonly used for statistical modeling and analysis. · Data Visualization : R offers several libraries, including ggplot2, plotly, and lattice, that allow for the creation of high-quality visualizations. Suppose you want to develop a classification model to predict customer churn.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52