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pranav.bhide started taking the course Classification: Level 02 1 year ago
Course
Classification: Level 02
This course will enable learners to get started with the basic classification techniques required to predict categorical values. At the end of this course, learners will also be able to determine areas where KNN, NBC and logistic regression can be applied and understand model evaluation techniques.
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pranav.bhide joined the group Classification:Level 02 1 year ago
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pranav.bhide started taking the course Digital Marketing: Click-through Rate (CTR) Prediction 1 year ago
Course
Digital Marketing: Click-through Rate (CTR) Prediction
Digital marketing strategy is planning or designing a company’s online/digital marketing presence to acquire, retain or engage with customers.
Click-through rate (CTR) is the ratio of users who click on a specific link to the number of total users who view a page, email, or advertisement. It is commonly used to measure the success of an online advertising campaign for a particular website as well as the effectiveness of email campaigns.
This course will aid in understanding different classification techniques used to predict the click success for various instances of an ad campaign. -
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pranav.bhide started taking the course Advanced Machine Learning Algorithms 1 year ago
Course
Advanced Machine Learning Algorithms
This course will enable learners to get accustomed with advanced (supervised) machine learning algorithms like Support Vector Machines (SVM) and Linear Discriminant Analysis (LDA) which overcome the shortcomings of conventional regression and classification algorithms.
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pranav.bhide joined the group Advanced machine learning algorithms 1 year ago
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pranav.bhide started taking the course Model Validation: Level 02 1 year ago
Course
Model Validation: Level 02
Model validation is performed to identify the potential limitations and assumptions of created models, verify if they are performing as expected, and assess if their impact is in line with the originally designed objectives and business uses. This course contains information on various techniques which can be used to validate regression, classification, and clustering models.
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pranav.bhide joined the group Model Validation Level 02 1 year ago
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pranav.bhide started taking the course Model Validation: Level 01 1 year 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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pranav.bhide joined the group Model Validation: Level 01 1 year ago
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pranav.bhide started taking the course Classification: Level 01 1 year 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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pranav.bhide joined the group Classification: Level 01 1 year ago
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pranav.bhide started taking the course Decision Trees and Random Forests 1 year ago
Course
Decision Trees and Random Forests
This course will enable learners to be accustomed with the concept of Decision Tree and related techniques. At the end of this course learners will also be able to understand how to use ensemble models for solving business problems.
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pranav.bhide joined the group Decision trees and Random Forest 1 year ago
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pranav.bhide started taking the course Regression: Level 01 1 year 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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pranav.bhide joined the group Regression: Level 01 1 year ago
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pranav.bhide started taking the course Clustering: Level 01 1 year ago
Course
Clustering: Level 01
Clustering is an Unsupervised Machine Learning technique, and is often utilized to differentiate between various levels of a variable. This course provides learners with an introduction to popular Clustering algorithms with an example of each executed using Python.
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pranav.bhide joined the group Clustering: Level 01 1 year ago
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pranav.bhide joined the group Power Bi: Level 0 3 years, 2 months ago
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pranav.bhide joined the group Tableau: Level 01 3 years, 2 months ago
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