Exploratory Data Analysis

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Predicting Wine Quality with Random Forest and Scikit-Learn (Coursera) Coursera
Coursera Project Network

Predicting Wine Quality with Random Forest and Scikit-Learn (Coursera)

Statistics & Data Analysis Data Science

Discover how to tackle complex classification tasks with our guided project on predicting red wine quality. Using Python and the powerful Scikit-Learn package, you'll learn to implement a Random Forest Classifier, gaining essential skills in machine learning that can be applied to various domains such as email spam detection or credit card fraud prevention.

Mar 7th 2022
Self-Paced
Machine Learning Data Analysis Exploratory Data Analysis
Details
Data Analysis with R (Udacity) Udacity
Udacity,Facebook

Data Analysis with R (Udacity)

Statistics & Data Analysis

Discover the power of exploratory data analysis with our comprehensive course on Data Analysis with R. This Udacity program will equip you with essential skills for visualizing, summarizing, and understanding complex datasets. Whether you're a beginner or looking to enhance your analytical prowess, this course offers an in-depth journey into the world of data exploration using R, a versatile and powerful programming language.

Self Paced
Self-Paced
Statistics Data Analysis EDA
Details
Distributed Machine Learning with Apache Spark (edX) EdX
University of California, Berkeley,BerkeleyX

Distributed Machine Learning with Apache Spark (edX)

CS: Software Engineering Statistics & Data Analysis

Embark on a journey into the world of Distributed Machine Learning with our expert-led course, designed for those eager to harness the power of Apache Spark. This course will equip you with the essential principles needed to develop robust machine learning (ML) pipelines that can scale effortlessly with your data. Dive deep into understanding how ML extracts valuable insights from vast datasets and gain practical experience using Apache Spark's powerful capabilities.

No sessions available
4 Weeks
Algorithms Machine Learning Exploratory Data Analysis
Details
Statistics and R (edX) EdX
HarvardX,Harvard University

Statistics and R (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into the world of data analysis with 'Statistics and R' on edX. This course is perfect for beginners in the life sciences who want to understand basic statistical concepts and learn how to use R programming to analyze data. Gain proficiency in computing p-values and constructing confidence intervals, all while enhancing your R skills.

Self Paced
Self-Paced
Statistics Data Analysis Statistical Inference
Details
Statistical Inference and Modeling for High-throughput Experiments (edX) EdX
HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into Statistical Inference and Modeling for High-throughput Experiments to gain a deep understanding of statistical techniques applied to large-scale biological datasets. This course covers essential topics such as error rate controlling procedures, false discovery rates, q-values, and parametric modeling with applications in high-throughput data analysis.

Self Paced
Self-Paced
Statistics Modeling Statistical Inference
Details
Basics of Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Basics of Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Dive into the world of statistical analysis with 'Basics of Statistical Inference and Modelling Using R'. This course will equip you with a strong foundation in understanding why certain statistical methods work, how to implement them using R, and when to apply them. It's an essential step for anyone looking to delve deeper into data science.

Self Paced
Self-Paced
Statistics Modeling Data Analysis
Details
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