Pickl AI

SEPTEMBER 12, 2024

Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks. Joblib: A Python library used for lightweight pipelining in Python, handy for saving and loading large data structures.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

APRIL 28, 2023

As a part of the Data Science Course with Placement Guarantee , you will gain expertise in all these skill sets.

Data Scientist 52

Data Scientist Data Science Hypothesis Testing Decision Trees 52

Pickl AI

NOVEMBER 5, 2024

Programming Skills Proficiency in programming languages like Python and R is essential for Data Science professionals. Statistical Knowledge A solid understanding of statistics is fundamental for analysing data distributions and conducting hypothesis testing. These languages offer powerful libraries and frameworks.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

Pickl AI

MAY 30, 2024

Also Read: Explore data effortlessly with Python Libraries for (Partial) EDA: Unleashing the Power of Data Exploration. Must Check Out: How to Use ChatGPT APIs in Python: A Comprehensive Guide. It’s critical in harnessing data insights for decision-making, empowering businesses with accurate forecasts and actionable intelligence.

Data Analysis 52

Data Analysis Data Analysis Data Science Exploratory Data Analysis 52

Mlearning.ai

MAY 23, 2023

Decision trees are more prone to overfitting. Underfitting: Here, the model is so simple that it is not able to identify the correct relationship in the data, and hence it does not perform well even on the test data. Some algorithms that have low bias are Decision Trees, SVM, etc. character) is underlined or not.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Pickl AI

APRIL 26, 2024

What are the advantages and disadvantages of decision trees ? I devised a data cleaning and transformation strategy using Python scripts to standardise the data, which resolved the issue and improved the accuracy of the analysis. How do you handle large datasets in Python? Lifetime access to updated learning materials.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

AUGUST 9, 2024

Apache Spark A fast, in-memory data processing engine that provides support for various programming languages, including Python, Java, and Scala. Statistical Analysis Introducing statistical methods and techniques for analysing data, including hypothesis testing, regression analysis, and descriptive statistics.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 23, 2024

Programming Languages Python, due to its simplicity and extensive libraries, Pytho n is the most popular language in AI and Data Science. Hypothesis testing and regression analysis are crucial for making predictions and understanding data relationships. It is widely used for scripting, data manipulation, and Machine Learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52