Machine Learning
Dive deep into Machine Learning. Get the Perfect Blend of Analytical Skills & Business Knowledge.
Created by Vijay Gaikwad
1000.0
Description
This shortterm course is designed by a professional from the Vishwakarma Institute of Technology, Pune to share the knowledge and help you learn complex theory, algorithms and coding libraries in a simple way. This online, selfpaced Machine Learning course will show stepbystep developments of Machine Learning algorithms that are used to solve realworld problems.
Who can enroll

Anyone who wants to add value to their business through powerful Machine Learning tools

Budding engineers who want to make their career in Machine Learning

Industry professionals who are interested in online Machine Learning courses

UG/ PG/ PhD Students who are looking for Machine Learning training

Teachers who are interested in Machine Learning Certification
Learning Outcomes/By the end of the course
 Make accurate predictions
 Use for personal purpose
 Recognize the Machine Learning model to choose for each problem
 Understand various powerful Machine Learning models
 Analyze data effectively
 Apply dimensionality reduction technique to data
 Solutions to business problems
Lessons
 lessons 95
 426:23
 Introduction to Simple Linear Regression 150
 Simple Linear Regression Equation 207
 Simple Linear Regression how It works ? 168
 Simple Linear Regression Algorithm 136
 Simple Linear Regression Program 169
 Training Simple Linear Regression 812
 Prediction using Simple Linear Regression 280
 Data Visualization using Simple Linear Regression 482
 Introduction to Multiple Linear Regression Model 205
 Equation of Multiple Linear Regression 161
 How Multiple Linear Regression Is Useful ? 170
 Significance of Backward Elimination and 'P Value'. 229
 Algorithm for Multiple Linear Regression 297
 Multiple Linear Regression Program 253
 Importing the data set for Multiple Linear Regression 253
 Encoding Categorical Data 431
 Avoiding Dummy Variable Trap 142
 Splitting the Data set 335
 Fitting Multiple Linear Regression to Training Set 406
 Multiple Linear Regression Model Ready 784
 Polynomial Linear Regression (PLR) 233
 Comparison: SLR Vs PLR 193
 Code of Polynomial Regression 457
 Model of Polynomial Regression 147
 Object Of Polynomial Regression Class 376
 Visualizing The Linear Regression Results 330
 Visualizing The Polynomial Regression Results( For Higher Resolution & Smooth Curve) 344
 Prediction a new result with linear regression 258
 Visualizing The Polynomial Regression Results 327
 Introduction to Classification PartI 244
 Introduction to Classification PartII 136
 Logistic Regression (LR)I 123
 Logistic Regression (LR)II 230
 Algorithm for Logistic Regression (LR) 101
 Develop Code of Logistic Regression I 53
 Code of Logistic Regression II 260
 Code of Logistic Regression III 366
 Feature Scaling 224
 Fitting LR Module To Training Data set 307
 Making The Confusion Matrix 313
 Visualizing training set results 139
 Support Vector Machine Introduction 204
 Maximum Margin Hyperplane 204
 Algorithm for Support Vector Machine (SVM) 326
 Program for Support Vector Machine (SVM) Classifier 413
 Splitting Data set for Support Vector Machine (SVM) 473
 Fitting the Support Vector Machine (SVM) Model to Training Set 359
 Prediction using Support Vector Machine (SVM) 182
 Visualizing The Support Vector Machine Results 311
 Naive Base Classifier I 71
 Naive Base Classifier II 115
 Problem Statement for Naive Base Classifier (NCB) 116
 Bayes Theorem 113
 Bayes Theorem Examples 113
 Probability Calculation Using Bayes Theorem) 227
 Summery with Examples for Naive Base Classifier (NCB) 129
 Program for Naive Base Classifier (NCB) 564
 Fitting Naive Base Classifier (NCB 424
 NBC divide data set into training set and testing set 468
 NBC Machine confusion matrix 236
 NBC visualizing the training set data 330
 NBC visualizing the test set data 187
Program Fee
1000.0
(Inclusive of all taxes)
What You Benefit from This Program
Download Brochure
 Vijay Gaikwad
 15 Years Of Experiance
 Vishwakarma Institute of Technology, Pune
Certificate you will Earn after this course
Complete the course successfully to obtain this prestigious recognition from eduplusnow