————————————————
—— —— #MODULE7 ————
————————————————
👇Descriptive Statistics with Python👇

1.Interpreting Data Using Descriptive Statistics with Python Introduction

2. Measure of central tendency , mean median mode

3. Exercise Mean median mode

4. Measures of Dispersion & Understandaing Variance

5. Exercise computing IQR, Variance and STD

6. Gaussian Normal Distribution

7. Confidence Intervals

8. Skewness and kurtosis

9. Exercise Skewness and kurtosis

10. Covariance and Correlation

11. Exercise Covariance and corelation

12. Module Summary

Self Paced Videos

Module 1 - Introduction to Data Science
Module 2 - Introduction to Python
Module 3 - Pandas
Module 4 - Merging Data Frames with Pandas

Module 5 - Introduction to Data Visualisation Using Matplotlib
https://t.me/c/1454674396/8
Part- 1,2,3,4

Module 6 - Data Visualization with Seaborn
https://t.me/c/1454674396/61
Part - 1,2

Module 7 - Descriptive Statistics with Python
https://t.me/c/1454674396/106

Module 8 - Inferential Statistics with Python
https://t.me/c/1454674396/129

Module 9 - Feature Engineering
https://t.me/c/1454674396/155
Part- 1,2,3,4

Module 9.5 - Exploratory Data Analysis
Module 10 - Machine Learning for Everyone
Module 11 - Supervised Learning with scikit-learn
Module 12 - Machine Learning with Tree-Based Models in Python
Module 12.5 - Extreme Gradient Boosting with XGBoost
Module 13 - Dimensionality Reduction and Unsupervised Learning
Module 14 - Machine Learning for Time Series Data

————————————————
—— —— #MODULE8 ————
————————————————
👇Inferential Statistics with Python👇