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edurekapythondatasciencecertification2019's Introduction
Edureka Python Data Science Certification 2019
Following are the topics covered in this course:
- Types of variables
- Loops in Python
- Collection Datatypes
- List
- Tuples
- Sets
- Dictionaries
- Exceptional Handling
- OOPs concept
- User defined functions
- Numpy
- Pandas
- Missing value Treatment
- Outlier Treatment
- Feature Scaling
- Train and Test Split
- Matplot Library
- Seaborn Library
- Regression
- Simple Linear Regression
- Multiple Linear Regression
- Decision Tree
- Random Forest
- Classification
- Logistic Regression
- K-nearest Neighbour
- Naive Bayes
- Support Vector Machine
- Decision Tree
- Random Forest
- Clustering
- K-means Clustering
- Hierarchical Clustering
-Association Rule
- Apriori Association
- Dimensionality Reduction
- Reinforcement Learning
- Time Series
Model Selection and Boosting
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