Data Science
Be a Data Scientist - Best course in Best Price - Virtusoft
Data Science Overview
- Typical Data Science Tasks,
- Data Science Applications/Examples,
- Introduction to Classification/Decision Trees,
- Data Preparation, Normalization,
- Outlier Detection
- Data Discretization & Value Reduction.
Model Interpretation and Evaluation techniques.
- Model Accuracy
- Precision
- Recall
- ROC Curve Interpretation
- Holdout Method
- k-Cross Validation
Classification / Prediction Techniques
- Decision Trees
- Naïve Bayes
- Artificial Neural Network
- Linear Regression
- K-Nearest neighbors
- Ensemble Methods (Bagging and Boosting)
Clustering / Grouping Similar Data
- K-Means Clustering
- Hierarchal Clustering
- Fuzzy C-Means
NLP & Text Processing/ Sentiment Analysis
- Part of Speech tagging
- Bags of Words Creation
- Part of Speech and Stop Word Filters
- Stemming Text
- Term Frequency Count
- Inverse Document Frequency
Rule Mining / Extraction & Market Basket Analysis
- Association Rule Mining
- Apriori Method
- Frequent Item sets
- Rules Generation
- Support
- Confidence
Who should attend
- Fresh Graduates
- Business Intelligence Professionals
- Data Engineers
- Database Administrators
- Software Developers
Complete training shall be carried out using Python
Course fee
Rs. 28,000/- per participant
Course duration
25 Hours