58 Courses

Tutorials
View Course

Tutorials

##### Introduction to Kaggle – My First Kaggle Submission

An introduction to Kaggle followed by a guide on how to create a Kaggle account and submit a model to the Kaggle competition. Discussion on typical problems in Kaggle and how to succeed.

Tutorials
View Course

Tutorials

##### Introduction to Recommender Systems

A recommender system is an automated system that uses user preference to predict things. A discussion on the importance of recommender systems and how do they work.

Tutorials
View Course

Tutorials

##### Clustering Introduction

Introduction to the technique of clustering and the fundamental concepts associated with it. Discussion on clustering methods along with their strengths and weaknesses.

Tutorials
View Course

Tutorials

##### Steps in Experimentation

Discussion on the steps used in online experimentation. A walkthrough of the overall process, A/A Testing, A/B Testing, Multivariate Testing, and when to use these tests.

Tutorials
View Course

Tutorials

##### Natural Language Processing

Introduction to Natural Language Processing and its key applications. If machines learning from numbers is interesting, then machines learning from words is even more interesting.

Tutorials
View Course

Tutorials

##### One Versus One vs. One Versus All in Classification Models

An introduction to one-versus-one and one-versus-all classification techniques. Discussion on the differences between the two techniques and when to use one over the other.

Tutorials
View Course

Tutorials

##### A/B Testing in Minutes

Discussion on the basics of A/B testing and answers to in-depth questions such as "Why should businesses conduct A/B testing?" and "How do you perform an A/B test?"

Tutorials
View Course

Tutorials

##### Multivariate Testing in Minutes

Multivariate testing is a technique used for testing a hypothesis. A discussion on the basics of A/A testing and how to determine which combination of variations performs the best.

Tutorials
View Course

Tutorials

##### A/A Testing in Minutes

A/A testing is a tactic to check that whether the tool being used to run the experiment is statistically fair. A discussion on the basics of A/A testing and how to use them effectively.

Tutorials
View Course

Tutorials

##### N-Grams in Minutes

An introduction to N-Grams and examples of their usage in Natural Language Processing. The use of N-Grams in training machines to better understand the real meaning of the text.

Tutorials
View Course

Tutorials

##### Time Series Forecasting in Minutes

Time Series is looking at data over time to predict what will happen in the next time period. A discussion on time series, followed by examples of their use in data science.

Tutorials
View Course

Tutorials

##### Introduction to the Confusion Matrix

A brief overview of the confusion matrix, how to create a matrix, and how to use such a matrix. A confusion matrix is one of the basic concepts in data science.

Tutorials
View Course

Tutorials

##### Introduction to Precision, Recall, and F1 in Classification Models

An introduction to the concepts of Precision, Recall, and F1 in data science. The importance of these concepts and when to use the techniques for measuring the accuracy of a model.

Tutorials
View Course

Tutorials

##### Introduction to Classification Models

An introduction to classification models and their usefulness in the world of data science. When to use classification models in machine learning to make better use of the data.

Tutorials
View Course

Tutorials

##### Introduction to Azure ML and Cloud Computing

Azure ML Studio is a fully-featured graphical data science tool that can be used to upload, analyze, clean, and visualize data with an intuitive interface, thus making the tasks easier.

Tutorials
View Course

Tutorials

##### Introduction to Big Data, Data Science and Predictive Analytics

An introduction to the wide world of Big Data and its presence all around us. A bird’s eye view of the subfields of predictive analytics and components of a big data pipeline.

Tutorials
View Course

Tutorials

##### Getting started with Python and R for Data Science

A guide to set up Python and R on a Windows, Mac, or Linux machine followed by a discussion on some common Python and R packages used for machine learning and data analysis.

Tutorials
View Course

Tutorials

##### Introduction to Web Scraping Using Python and Beautiful Soup

Web scraping is a very powerful tool for any data science professional. The fundamentals of web scraping, using Python's library (Beautiful Soup) can be of extreme help for a data scientist.