Published in Data Science at Microsoft

·Jul 5, 2022

Improving product recommendation systems using sentiment analysis

When customers are looking to make an online purchase, an important factor involved in their search process is how quickly they are able to locate an item they want to buy. The use of recommendation systems is an important way to help link customers with what they are looking for. …

Recommendations

8 min read

Recommendations

8 min read

Published in everything about forecasting

·May 4, 2022

Analysis of Time Series Data— Lecture 02

In this lecture, we will study analysis of Time series data. Step -01: Read data and make sure that you convert date column datatype to DateTime object. data = pd.read_csv('airline-passenger-traffic.csv', header = None) data.columns = ['Month','Passengers'] data['Month'] = pd.to_datetime(data['Month'], format='%Y-%m') data = data.set_index('Month') data.head(12) Step-02: Plot Time Series data data.plot(figsize=(12…

Interpolation

3 min read

Analysis of Time Series Data— Lecture 02

Interpolation

3 min read

Published in everything about forecasting

·May 4, 2022

Introduction to Forecasting — Lecture 01

In this lecture, we will study Application, Types, Basic Terminology, Basic Approach and three Principles of forecasting. Application of Forecasting Economic Outlook → Government use Sales Forecasting → how many products goes to sell (Sales figure) and decide production amount in factory Inventory Planning → How much to stock in…

Forecasting

3 min read

Forecasting

3 min read

Feb 21, 2022

Course — Statistics Foundations: The Basics

Objective of writing: Preparing Notes or my learnings from course — Statistics Foundations: The Basics. Don’t have any intention to spam. Mean, Median and Mode Mean → Average

Statistics

3 min read

Statistics

3 min read

Published in Math for data science

·Dec 5, 2021

Math for Data Science — Lecture 02 Elementary Row Operations, RREF + Rank via Python

In our previous Lecture 01, we studied about Matrix Operations (Initialization, Vector, Multiplication, Transpose, Special Matrix) https://medium.com/math-for-data-science/math-for-data-science-bits-wilp-program-58417c654665 In this lecture, we will study Elementary row operations to find solution of linear equations. To find same, need to convert matrix into REF (Row Echelon Form) and then to RREF (Reduced row…

Linear Algebra

4 min read

Math for Data Science — Lecture 02 Elementary Row Operations via Python

Linear Algebra

4 min read

Dec 3, 2021

Some Useful Commands — Linux, Python, Pip

Search specific text in current : <grep -RilE “text1|text2”> Name of Operating System: <uname -a> and <hostnamectl>

Commands

2 min read

Commands

2 min read

Published in Math for data science

·Nov 29, 2021

Math for Data Science — Lecture 01 Basic Matrix Operations via Python

In this lecture, we will study Matrix Operations (Initialization, Vector, Multiplication, Transpose, Special Matrix) via Python. Matrix Definition Matrix Notation

Python

3 min read

Math for Data Science — BITS WILP Program

Python

3 min read

Apr 22, 2021

Coursera — Transfer Learning for NLP with TensorFlow Hub

Objectives → By end of this, you will be able to use Various Pre-trained NLP Models from TensorFlow Hub (thub.dev) Use transfer learning to fine tune text data Visualize Model Performance metric with Tensorboard Problem Statement → Detect Toxic Comment (Quora Insincere Questions Classification) !nvidia-smi → Command to tell GPU status

Tensor Flow

2 min read

Tensor Flow

2 min read

Coursera — Transfer Learning for NLP with TensorFlow Hub

Objectives → By end of this, you will be able to use

Various Pre-trained NLP Models from TensorFlow Hub (thub.dev)
Use transfer learning to fine tune text data
Visualize Model Performance metric with Tensorboard

Image 01: Example of using pre-trained model in Keras

Problem Statement → Detect Toxic Comment (Quora Insincere Questions Classification)

!nvidia-smi → Command to tell GPU status

Feb 21, 2021

Sequence Model — Week 01

Different Types of RNN

Coursera

3 min read

Coursera

3 min read

Sequence Model — Week 01

Different Types of RNN

Feb 21, 2021

Sequence models → Week 03 (Attention mechanism)

In Language Model, we find probability of sentence. Decoder in Machine Translation system is same as Language Model and a<0> in language model is similar to Encoder in Machine Translation. In M/C Translation, we use beam search instead of greedy search.

Coursera

3 min read