Summary of the content in the Data Scientist Essentials course, Part 6: Sentiment analysis on text data

Suggesting ways to organize [...]

Summary of the content in the Data Scientist Essentials course, Part 5: Examples of applications using recommender systems

Introducing techniques that [...]

Summary of the content in the Data Scientist Essentials course, Part 3: Model Building Steps for Data Scientists

Explain the steps involved [...]

Summary of the content in the Data Science Essential course, Part 4: Building models using Unsupervised and Supervised Machine Learning techniques

Summary of the training [...]

Summary of the Data Scientist Essentials course content, Part 2: Explaining the Data Engineer's role: Data Cleansing

Training date: [...]

Summary of the Data Scientist Essentials course, Part 1: Introduction to Big Data, Machine Learning, and Hadoop

Training date: [...]

Examples of applying the Pareto Rule and the 80/20 Rule

The application of [...]

Orange Data Mining Tool (Open source Tools)

We were given the task of [...]

Applying Objective and Key Results (OKRs) in conjunction with Reports/Dashboards within an organization

On Saturday [...]

Objective/Goal/Key Results : OGKR vs. Key Performance Indicator: KPI

In measuring the results of [...]