DataRobot Blog

DECEMBER 15, 2022

Let’s run through the process and see exactly how you can go from data to predictions. supervised learning and time series regression). Prepare your data for Time Series Forecasting. Perform exploratory data analysis. When we choose ‘sales’ it’s immediately recognized as a regression problem.

Exploratory Data Analysis 81

Exploratory Data Analysis AI AI Machine Learning 81

Pickl AI

JULY 12, 2024

Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data. There are three main types of Machine Learning: supervised learning, unsupervised learning, and reinforcement learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

APRIL 26, 2024

Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Explain the difference between supervised and unsupervised learning. Describe a situation where you had to think creatively to solve a data-related challenge.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Key Components of Data Science Data Science consists of several key components that work together to extract meaningful insights from data: Data Collection: This involves gathering relevant data from various sources, such as databases, APIs, and web scraping.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52