Remove Data Science Remove Decision Trees Remove Exploratory Data Analysis
article thumbnail

Data Science Project?—?Build a Decision Tree Model with Healthcare Data

Mlearning.ai

Data Science Project — Build a Decision Tree Model with Healthcare Data Using Decision Trees to Categorize Adverse Drug Reactions from Mild to Severe Photo by Maksim Goncharenok Decision trees are a powerful and popular machine learning technique for classification tasks.

article thumbnail

Predicting the Protein Structure Resolution Using Decision Tree

Mlearning.ai

Exploratory Data Analysis(EDA)on Biological Data: A Hands-On Guide Unraveling the Structural Data of Proteins, Part II — Exploratory Data Analysis Photo from Pexels In a previous post, I covered the background of this protein structure resolution data set, including an explanation of key data terminology and details on how to acquire the data.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Understanding Data Science and Data Analysis Life Cycle

Pickl AI

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. From acquisition to interpretation, these cycles guide decision-making, drive innovation, and enhance operational efficiency. billion INR by 2026, with a CAGR of 27.7%.

article thumbnail

Data Science Project?—?Predictive Modeling on Biological Data

Mlearning.ai

Data Science Project — Predictive Modeling on Biological Data Part III — A step-by-step guide on how to design a ML modeling pipeline with scikit-learn Functions. Photo by Unsplash Earlier we saw how to collect the data and how to perform exploratory data analysis. Now comes the exciting part ….

article thumbnail

Basic Data Science Terms Every Data Analyst Should Know

Pickl AI

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

article thumbnail

2024 Tech breakdown: Understanding Data Science vs ML vs AI

Pickl AI

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

article thumbnail

Top 10 Data Science Interviews Questions and Expert Answers

Pickl AI

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Data Science skills that will help you excel professionally.