- Precison and Recall
- Gradient Boosting from scratch
- So you built a Machine Learning model?(Bias and Varience)
- Understanding LSTM Networks : part 1
- Understanding LSTM Networks : part 2
- Choosing the Right Metric for Evaluating ML Models — Part 1(Regression)
- Choosing the Right Metric for Evaluating Machine Learning Models — Part 2(Classification)
- Statistics
- 1. Glossary of common Machine Learning, Statistics and Data Science terms
- 2. Basics of Probability for Data Science explained with examples
- 3. Bayesian Statistics explained to Beginners in Simple English
- 4. Comprehensive & Practical Inferential Statistics Guide for data science
- 5. Your Guide to Master Hypothesis Testing in Statistics
- 6. A Simple Introduction to ANOVA (with applications in Excel)
- 7. 40 questions on Statistics for data scientists & analysts - Part - 1
- 8. 41 questions on Statistics for data scientists & analysts - Part - 2
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