13 results for "data science"

Machine Learning for Marketing Analytics in R

In this course you'll learn how to use data science for several common marketing tasks.

4 hours Machine Learning Verena Pflieger Course

Case Study: School Budgeting with Machine Learning in Python

Learn how to build a model to automatically classify items in a school budget.

4 hours Machine Learning Peter Bull Course

Winning a Kaggle Competition in Python

Learn how to approach and win competitions on Kaggle.

4 hours Machine Learning Yauhen Babakhin Course

Cluster Analysis in R

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

4 hours Machine Learning Dmitriy Gorenshteyn Course

Introduction to Natural Language Processing in R

Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.

4 hours Machine Learning Kasey Jones Course

Machine Learning Monitoring Concepts

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

2 hours Machine Learning Hakim Elakhrass Course

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

4 hours Machine Learning Christoforos Anagnostopoulos Course

Dimensionality Reduction in R

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

4 hours Machine Learning Matt Pickard Course

Machine Learning with caret in R

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

4 hours Machine Learning Zachary Deane-Mayer Course

Extreme Gradient Boosting with XGBoost

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

4 hours Machine Learning Sergey Fogelson Course

Feature Engineering for NLP in Python

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

4 hours Machine Learning Rounak Banik Course

Assessing Customer Churn Using Machine Learning

Build models predicting customer churn for Indian telecom customers.

1 hour Machine Learning, Data Manipulation Dr. Chester Ismay Project guided

Comparing Cosmetics by Ingredients

Process ingredient lists for cosmetics on Sephora then visualize similarity using t-SNE and Bokeh.

45 minutes Machine Learning, Data Manipulation... Jiwon Jeong Project guided

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