Data Science Training in Electronic City
Let eMexo Technologies Best Data Science Training in Electronic City, Bangalore take you from the fundamentals of Data Science to Advance Data Science and make you an expert in developing real time Data Science applications. Here are the major topics we cover under this Data Science course Syllabus, Basic Statistics, Linear Regression, Logistic Regression, Decision tree and Case Study for Decision tree, Unsupervised Classification Algorithms Time Series and Case Study for Time Series, K Nearest Neighbor’s Algorithm for Classification, Naïve Bayes Algorithm for Multi Class Prediction, Artificial Neural network with case study, Support vector machines with case study and Recommender Systems. Each topic will be covered in practical way with examples.
All the topics will be covered with Practical and hands on training. Our trainers have industry experience with live project experience in cutting edge technologies which they teach. We hire only Best Data Science industry specialists as trainer for our Data Science Training in Electronic City.
If you are looking for Data Science Training in Electronic City, eMexo Technologies is the Best Data Science Training Institute in Electronic City. Come over to our training institute for a free demo class. Let our trainer give you a demo on Data Science and only then you take the decision to enroll into the training program.
Data Science Training Institute in Electronic City Features
FAQs
Book Your Free Demo Class For Data Science Training in Electronic City
-
Module 1: Basic Statistics
-
Module 2: Linear Regression
-
Module 3: Logistic Regression
-
Module 4: Decision tree and Case Study for Decision tree
-
Module 5: Unsupervised Classification Algorithms
-
Module 6: Time Series and Case Study for Time Series
- Definition of Time Series
- Time Series Decomposition
- Simple Moving Average Method
- Weighted Moving Average Method
- Single Exponential Smoothing Method
- Double Exponential Smoothing Method
- Triple Exponential Smoothing Method
- AR Models
- MA Models
- ARMA Models
- ARIMA Models
- sARIMA Models
- Case Study
- Using RMSE and MAPE for Model Performance
-
Module 7: K Nearest Neighbor’s Algorithm for Classification
-
Module 8: Naïve Bayes Algorithm for Multi Class Prediction
-
Module 9: Artificial Neural network with case study
-
Module 10: Support vector machines with case study
-
Module 11: Recommender Systems