MACHINE LEARNING COURSE


Section: 1

Welcome to the course!

Section: 2

Part 1: Data Preprocessing

Section: 3

Part 2: Regression

Section: 4

Simple Linear Regression


Section: 5

Multiple Linear Regression

Section: 6

Polynomial Regression

Section: 7

Support Vector Regression

Section: 8

Decision Tree Regression


Section: 9

Random Forest Regression

Section: 10

Evaluating Regression Models Performance

Section: 11

Part 3: Classification

Section: 12

Logistic Regression


Section: 13

K-Nearest Neighbors (K-NN)

Section: 14

Support Vector Machine (SVM)

Section: 15

Kernel SVM

Section: 16

Naive Bayes


Section: 17

Decision Tree Classification

Section: 18
Random Forest Classification
Section: 19
Evaluating Classification Models Performance
Section: 20
Part 4: Clustering

Section: 21
K-Means Clustering
Section: 22
Hierarchical Clustering
Section: 23
Part 5: Association Rule Learning
Section: 24
Apriori

Section: 25
Eclat
Section: 26
Part 6: Reinforcement Learning
Section: 27
Upper Confidence Bound (UCB)
Section: 28
Thompson Sampling

Section: 29
Part 7: Natural Language Processing
Section: 30
Part 8: Deep Learning
Section: 31
Artificial Neural Networks
Section: 32
Convolutional Neural Networks

Section: 33
Part 9: Dimensionality Reduction
Section: 34
Principal Component Analysis (PCA)
Section: 35
Linear Discriminant Analysis (LDA)
Section: 36
Kernel PCA

Section: 37
Part 10: Model Selection & Boosting
Section: 38
Model Selection
Section: 39
XGBoost

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Course Details

Data Science with Python and Machine Learning
The Data Science with R Certification course has been developed to impart an in-depth knowledge of data science techniques and their application using R to solve business problems.

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Important Dates

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

12
Aug

Online Instructor Led + Classroom (at Gurgaon) program

3:00pm to 6:00pm

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