Machine Learning ? Python and R Hands-On
- Offered byInfosys
Machine Learning ? Python and R Hands-On at Infosys Overview
Total fee | ₹49,214 |
Mode of learning | Online |
Credential | Certificate |
Machine Learning ? Python and R Hands-On at Infosys Highlights
- Earn a course completion certificate
- Instructor-led face-to-face live training
- 100% job oriented training
- Lifetime Access
- Assessments
- Cloud Test Lab
Machine Learning ? Python and R Hands-On at Infosys Course details
- For I.T. career aspirants who wish to kickstart their career in one of the hottest technologies in the market
- For Architects, software administrators, developers, testers who want to build an effective data processing application or perform big data analysis
- For ETL developers who wish to add an additional technology in their skillset on data management
- This course gives a good insight into the Machine Learning world of Data Science
- It helps learner understand topics like data preprocessing, different types regression, classification, clustering, association rule learning, reinforcement learning, natural language processing, deep learning, dimensionality reduction, model selection & boosting
- There are sufficient hands on exercises and assignments covered in the course to help learner feel confident in succeeding in your career as a Data scientist
Machine Learning ? Python and R Hands-On at Infosys Curriculum
Introduction
Data Preprocessing
Regression
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Support Vector Regression(SVR)
Decision Tree Regression
Random Forest Regression
Evaluating Regression Models Performance
Classification
Logistic Regression
K-Nearest Neighbors
Support Vector Machine(SVM)
Kernel SVM
Naive Bayes
Decision Tree Classification
Random Forest Classification
Evaluating Classification Models Performance
Clustering
K-Means Clustering
Hierarchical Clustering
Association Rule Learning
Apriori
Eclat
Reinforcement Learning
Upper Confidence Bound
Thompson Sampling
Natural Language Processing
Deep Learning
Artificial Neural Networks
Convolutional Neural Networks
Dimensionality Reduction
Principal Component Analysis (PCA)
Linear Discriminant Analysis (LDA)
Kernel PCA
Model Selection & Boosting
Model Selection
XGBoost
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