# Table of Contents

# Table of contents

Welcome to my blog.

This post is like a table of contents section of a book. It provides links to the rest of the posts on this website instead of page numbers.

## Business Analytics

### Review of math fundamentals

#### Statistics

#### Linear Algebra

### Data Processing

##### Web scraping

- Handling Google Maps Location Data (in-time problem)
- Class size paradox and web scraping (using Amrita University placement data)

##### Data cleaning and imputation

### Exploratory Data Analytics

- Univariate Analysis (in-time problem)
- Multivariate Analysis (in-time problem)
- Multicollinearity (in-time problem)
- Time Series EDA (in-time problem)
- Combined: EDA in python

### Factor analysis

### Inferential data analytics (Hypothesis testing)

- z-test and t-test (in-time problem)
- ANOVA test (smart cities data)
- Chi-Square Goodness of fit test (in-time problem)
- Chi-Square test of independence (smart cities data)

### Prediction algorithms (Supervised learning)

- Classification
- Logistic Regression (using Titanic data set)
- CHAID decision trees (using Titanic data set)
- CART classification (using Titanic data set)

- Regression
- Machine Learning

### Prescriptive Analytics (Optimization)

- Linear Programming and Sensitivity analysis (basic)
- Inventory planning model (with CPLEX code)
- Gradient descent for non-linear optimization (Adoption of a new product)
- Analytic Hierarchy Process for multi-criterion optimization (Selecting a phone)

### Reinforcement Learning (Stochastic modelling)

### Time series forecasting

- Introduction to stationarity
- Stationarity hypothesis tests (in-time problem)
- Forecasting using ARIMA (in-time problem)

### Clustering

- Hierarchical Clustering (Market segmentation using wine data)
- K means clustering (Customer segmentation using credit card data)

### Deep Learning

### Projects

- Personal analytics: TIme management using google maps
- Supply chain analytics: Purchase order forecasting
- Optimization of Rewards and Recognition’s for a reputed insurance company using predictive and prescriptive analytics

### Other interesting posts

- Review on IIMB Business Analytics and Intelligence course
- Why are basics important in data sciences
- Boy-girl paradox

### Python tutorials ( Authored by Tamoghna Saha )

- Getting started with python
- A Not-so-Quick-but-Conceptual guide to Python | Intermediate | Part 1
- A not so quick but conceptual guide to python notebook intermediate | part-2
- All you ‘really’ need to know | Python Notebook | Advanced – Pandas

### Papers and publications

- Parametric Study of Cantilever Plates Exposed to Supersonic and Hypersonic Flows (published in IOP Material Science)
- Purchase order forecasting (under publication- Accepted for publication in NCMLAI 2020)

Cannot see the heading of the post in mobile browser.

Thanks for the observation. Will update it next time.

Updated!!