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archana.n completed the course Classification: Level 01 8 months, 1 week ago
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archana.n completed the lesson Rate your experience 8 months, 1 week ago
Lesson
Rate your experience
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archana.n completed the lesson Fundamentals of Classification and Introduction to Logistic Regression, Decision Trees, Random Forest, SVM, and XGBoost 8 months, 1 week ago
Lesson
Fundamentals of Classification and Introduction to Logistic Regression, Decision Trees, Random Forest, SVM, and XGBoost
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archana.n started taking the course Regression: Level 01 8 months, 3 weeks ago
Course
Regression: Level 01
Regression is the most commonly used Machine Learning paradigm, and is often utilized for comparing or establishing the relationship between two or more variables. This course provides learners with an introduction to popular Regression algorithms with an example of each executed using Python.
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archana.n joined the group Regression: Level 01 8 months, 3 weeks ago
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archana.n started taking the course Model Validation: Level 01 8 months, 3 weeks ago
Course
Model Validation: Level 01
Model Validation techniques are used to assess the accuracy of Machine Learning models. This course provides learners with an introduction to commonly used Model Validation techniques and specific methods for for Regression, Classification, and Clustering.
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archana.n joined the group Model Validation: Level 01 8 months, 3 weeks ago
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archana.n started taking the course Classification: Level 01 8 months, 3 weeks ago
Course
Classification: Level 01
Classification is a Supervised Machine Learning technique, and is often utilized in decision based approaches. This course provides learners with an introduction to popular Classification algorithms with an example of each executed using Python.
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archana.n joined the group Classification: Level 01 8 months, 3 weeks ago
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archana.n completed the lesson Python Programming (Pre-requisite) 8 months, 3 weeks ago
Lesson
Python Programming (Pre-requisite)
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archana.n completed the lesson R Programming (Pre-requisite) 8 months, 3 weeks ago
Lesson
R Programming (Pre-requisite)
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archana.n started taking the course Data Engineering: Level 01 9 months, 4 weeks ago
Course
Data Engineering: Level 01
Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there must be mechanisms for collecting and validating that information. In order for that work to ultimately have any value, there also have to be mechanisms for applying it to real-world operations in some way. Those are both engineering tasks: the application of science to practical, functioning systems. Data engineers focus on the applications and harvesting of big data. Their role doesn’t include a great deal of analysis or experimental design. Instead, they are out where the rubber meets the road (literally, in the case of self-driving vehicles), creating interfaces and mechanisms for the flow and access of information.
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archana.n joined the group Data Engineering: Level 01 9 months, 4 weeks ago
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archana.n earned the level 0 course achievement: Enablers of Confidence (EoC) 9 months, 4 weeks ago
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archana.n earned the forum badge achievement: Scored 100% on a quiz 9 months, 4 weeks ago
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archana.n earned the forum badge achievement: Scored 100% on a quiz 9 months, 4 weeks ago
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archana.n earned the forum badge achievement: Scored 100% on a quiz 9 months, 4 weeks ago
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archana.n earned the forum badge achievement: Scored 100% on a quiz 9 months, 4 weeks ago
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archana.n earned the forum badge achievement: Scored 100% on a quiz 9 months, 4 weeks ago
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archana.n earned the forum badge achievement: Scored 100% on a quiz 9 months, 4 weeks ago
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