About This Course
In this course, we are going to start our journey with Python and move forward with the basics of Machine Learning that includes Linear Algebra, Statistics, Data Handling and a lot of crucial concepts needed for any practitioner.Format - Recorded Sessions
Resources - Free Python Book and Video Lectures(1080p)
Batch - 2 is starting from July 2021
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Curriculum
- Introduction to Programming using Python
- Variables, Identifiers & Algebric Operations
- Conditional Statements & Flow Control
- Loops, Nested Loops
- String Methods
- Object Oriented Programming
- Python Special Functions
- Lists, Tuples, Dictionaries
- Vector, Matrices and Arrays
- Loading Data, Dataframe Manipulation
- Feature Scaling
- Feature Transformation & Handling Outliers
- Missing Data, Robustscaler Method
- Categorical Data Handling
- Text Data Handling
- Dimentionality Reduction
- PCA, NMF, TSVD
- Feature Selection
- Linear Regression
- Polynomial Regression
- Ridge & Lasso Regression
- Decision Tree
- Randmom Forest
- Metrics - MSE, RMSE,R2 square
