SUMMARY.md

Table of contents

• About
• Log
• Mathematical Motivation

STATISTICS

• Probability Basics
• Probability Distribution
• Central Limit Theorem
• Bayesian vs Frequentist Reasoning
• Hypothesis Testing
• ⚠️ A/B test

MODEL BUILDING

• Overview
• Data
  • Scaling
  • Missing Value
  • Outlier
  • ⚠️ Sampling
  • Categorical Variable
• Hyperparameter Optimization

Algorithms

• Overview
• Bias/Variance Tradeoff
• Regression
• Generative vs Discriminative Models
• Classification
• ⚠️ Clustering
• Tree based approaches
• Time Series Analysis
• Anomaly Detection
• Big O

NEURAL NETWORK

• Neural Network
• ⚠️ Recurrent Neural Network

NLP

• Lexical Processing
• Syntactic Processing
• Transformers

BUSINESS INTELLIGENCE

• ⚠️ Power BI
  • Charts
  • Problems
• Visualization

PYTHON

• Theoretical
• Basics
• Data Manipulation
• Statistics
• NLP
• Algorithms from scratch
  • Linear Regression
  • Logistic Regression

ML OPS

• Overview
• GIT
• Feature Store

SQL

• Basics
• Joins
• Temporary Datasets
• Windows Functions
• Time
• Functions & Stored Proc
• Index
• Performance Tuning
• Problems

⚠️ EXCEL

• Excel Basics
• Data Manipulation
• Time and Date
• Python in Excel

MACHINE LEARNING FRAMEWORKS

• PyCaret
• ⚠️ Tensorflow

ANALYTICAL THINKING

• Business Scenarios
• ⚠️ Industry Application
• Behavioral/Management

Generative AI

• Vector Database
• LLMs

CHEAT SHEETS

• NumPy
• Pandas
• Pyspark
• SQL
• Statistics
• RegEx
• Git
• Power BI
• Python Basics
• Keras
• R Basics

POLICIES

• PRIVACY NOTICE