Introduction to Python
Inferential Statistics
- Probability
- Statistics (Central Tendency, Spread of Data, Data Distribution)
- ANOVA, Chi-Square Test
- Univariate Analysis
- Bivariate Analysis
- Hypothesis Testing (t-test, z-test, p-value)
- Quiz
Introduction to Machine Learning
- Scikit Learn Package
- Supervised and Unsupervised concepts
Linear Regression
- Understanding the concept of Linear Regression
- Maths behind Linear Regression
- LASSO Regression and RIDGE Regression
- Case Study 1 (Theory + Practicals + Reporting)
- Case Study 2 (Theory + Practicals + Reporting)
- Quiz
Logistic Regression
- Understanding the concept of Logistic Regression
- Maths behind Logistic Regression
- AUC and ROC Curves, Confusion Matrix
- Accuracy, Sensitivity, Specificity, Precision & Recall
- Cutoff Methods in Logistic Regression
- Case Study 1 (Theory + Practicals + Reporting)
- Case Study 2 (Theory + Practicals + Reporting)