ML Live Video 10
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Lecture 92:- ML Live Video 10
- 1. Numpy - Creating Numpy Array
- 2. Numpy - Array Dimensions
- 3. Numpy - Reversing Rows and Columns
- 4. Numpy - Specific Element Extraction
- 5. Numpy - Basic Statistics
- 6. Numpy - Reshaping and Flattening
- 7. Numpy - Random Arrays and Sequence
- 8. Numpy - Unique Items and Count
- 9. Pandas - DataFrames
- 10. Pandas - Working on CSV
- 11. Pandas - Missing Values
- 12. Pandas - Statistics
- 13. Matplotlib - Line Graph and Scatter and Plot
- 14. Matplotlib - Bar Graph
- 15. Matplotlib - Bubble Graph and Pie Chart
- 16. Categorical Data
- 17. Data Scaling Intuition
- 18. Data Scaling
- 19. Data Splitting Intuition
- 20. Data Splitting
- 21. Handling Missing Data
- 1. Linear Regression Intuition 1
- 2. Linear Regression Intuition 2
- 3. Linear Regression scratch
- 4. Linear Regression scratch - Part 2 Forward Propagation
- 5. Linear R scratch - Part 3
- 6. ML - Linear R scratch - Part 4
- 7. Linear R scratch - Part 5
- 8. Linear Regression using sklearn
- 9. Polynomial Linear Regression Hands on
- 10. Polynomial Linear Regression Intuition
- 11. Support Vector Regressor Intuition
- 12. Support Vector 2 Kernels
- 13. Support Vector Regression Code
- 14. Decision Tree intuition
- 15. Decision Tree Code
- 16. Random Forest Intuition
- 17. Random Forest Code
- 1. MTitanic Challenge - 1 Understanding Data
- 2. ML Titanic Challenge - 2 Data Analysis
- 3. ML Titanic Challenge - 3 Data Prep
- 4. ML Titanic Challenge - 4 Classification Task
- 5. ML Sentiment Analysis - Understanding Data
- 6. ML Sentiment Analysis - Processing the Data
- 7. ML Sentiment Analysis - Preparing World Cloud
- 8. ML Sentiment Analysis - Predicting the Data
- 9. ML Medical Data 1
- 10. ML Medical Data 2
- 11. ML Medical Data 3
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