Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN)

RF, Adabost.M1, DecisionTree, Logistic Regression , Naive Bayes, Neural Network, CNN, K-mean , Linear regress programmingBuddyClub

Discount - $ 34.99 Free 100% Off

• Lectures -
• Skill Level -Beginner Level
• Language - English
• Published - Last updated 5/2018
• Coupon -

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Course Includes

• ☑️ At the end this course, A student will be able to do the following: For continuous data , you will be able to Train a linear regression model , select the best linear model for a given data and predict. For categorical data (Binary classification task ), you will be able to train models such as logistic regression (LR), Decision Tree (DT), Neural Network (NN), Convolutional Neural Network (CNN or ConVnet) , AdaBoost.M1, Random Forest (RF) and Naïve Bayes (NB) . You will be able to combine models to better your prediction. For clustering task, out of this class, a student will be able to implement the K-mean clustering which is the widely used clustering algorithm .

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What Will I learn?

• 📺 3 hours on-demand video
• 💓 Full lifetime access
• 📱 Access on mobile and TV
• 📋 Certificate of Completion

Requirements

• ⚓ No Prior programing knowledge is required. However a minimum knowledge of any programming and basic statistics is a plus

Who is the target audience?

• 🙇 If you are interested on predictive analytic , then this course is a right fit for you.

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