Introduction to R
- Vectors
- Matrices
- Dataframes
- Lists
- Excel
- CSV
- Text
- Flat files
- Numeric Functions
- Character Functions
- Date Functions
- User Defined Functions
- Computing New Variables
- Duplicate Values
- Sorting
- Labelling
- Numeric Formatting
- Character Formatting
- Date Formatting
- Merge
- Append
- If-else statements
- For loops
- While loops
- Repeat, Next, Break
- Scatterplots, Histograms, Barcharts, Dotplots
- Labels, Legends, Titles, Axes
- Introduction
- Need of Machine Learning
- Difference between Statistics and Machine Learning
- Popular libraries in Machine Learning
- Basic Statistics
- Hypothesis Testing
- T Test, Z Test, F Test
- Correlation
- Hypothesis Testing
- ANOVA, MANOVA, ANCOVA
- Linear regression
- Introduction
- Assumption Testing
- Interpretation
- Validation
- Implementation
- Logistic regression
- Introduction
- Difference between linear and logistic
- Variable Selection Methods
- Interpretation
- Validation
- Cluster Analysis
- Introduction
- Hierarchal Clustering
- K-Means Clustering
- Finalization of Clusters
- Interpretation
- Output Validation
- Time Series
- Introduction
- Components
- Methods of Forecasting
- ARIMA/ARMA
- Interpretation
- Validation
- Forecasting
- Decision Tree
- Introduction
- Pruning of Trees
- CHAID
- CART
- C
- Interpretation
- Ensemble Method
- Random Forest
- Introduction
- Random Forest for Regression
- Random Forest for Classification
- Interpretation
- Validation
- Text Analytics & Word Cloud
- Tokenization
- Term Document Matrix
- Stemming
- Corpus
- Different Text Cleansing Method
- Sentimental Analysis using Twitter Data
- Introduction
- Setting Twitter Development Login and account
- Generating API and Secret Keys
- Extracting Data from Twitter
- Library for Positive and Negative Keywords
- Text Cleansing
- Classification of Negative and Positive Keywords
Course Detail
Fees:
Rs 25,000
Mode:Classroom/Online
Duration:
3 Months
Course Contents:
R, Predictive Analytics, Machine Learning
Course Benefits:
Student Will able to use R, Predictive Analytics
and perform Analytics
and perform Analytics
RS 25,000
Mode:Classroom/Online(3 Months)
Data Science with using Python
Data Science with Python , Machine Learning
KEY FEATURES
3 Months of Classroom Training.
Session have assignments and daily task.
Recorded Videos and presentation for reference.
Books and related data sets in form of excel and csv.
Interview Questions for related topic.
Used Case Study and Projects to understand real scenarios.