Toggle navigation sidebar

Toggle in-page Table of Contents

The Data Science Interview Book

About this Book

Journey of this project

Log

Statistics

Probability Basics
Probability Distribution 1
Probability Distribution 2
Maximum Likelihood Estimate
Central Limit Theorem
Bayesian vs Frequentist Reasoning
Hypothesis Testing

Model Building

Data
Hyperparameter Optimization

Algorithms

Regression
Generative vs Discriminative Models
Classification
Tree based approaches
Time Series Analysis
Anomaly Detection

Neural Network

Neural Network
Recurrent Neural Network

NLP

Lexical Processing
Syntactic Processing

Story Telling

Visualization

Python

Basics
Data Manipulation
Statistics
NLP

SQL

SQL Basics
Joins
Temporary Datasets
Windows Functions
Time
Functions
Problems

Excel

Excel Basics
Data Manipulation
Time and Date

Tensorflow

Basics

Analytical Thinking

Business Scenarios
Industry Application

Powered by Jupyter Book

.md

Data

Data#

Warning

This page is a work in progress

previous

Hypothesis Testing

next

Scaling

By Somnath Rakshit | © MIT License - 2022 and onwards