Hassan Farid (@hassanfarid)

Overview of NLP Preprocessing Techniques

Text Preprocessing is one of the essential stages in training a Natural Language Processing (NLP) based machine learning model. Text Preprocessing allows processing the textual data and retrieval of a representation of textual data that is well-suite...

1Feb 11, 2023 · 17 min readhassanfarid.hashnode.dev

Demystifying Duplicate Values, their Causes, and Preventions

Duplicate Values are one of the major factors in demeaning data integrity. This is because duplicates are simply a copy of an already present record in a dataset appearing multiple times. Duplicates thus are a very common problem that induces biases ...

Jan 15, 2023 · 10 min readhassanfarid.hashnode.dev

Exploring Data Variables in the Titanic Dataset: A Step-by-Step Guide to EDA

One of the essential steps in Exploratory Data Analysis (EDA) is to look into the kinds of variables present in the dataset i.e. if a variable is numerical, nominal, ordinal, categorical, etc. Based on the found insights, one can apply the necessary ...

Jan 15, 2023 · 7 min readhassanfarid.hashnode.dev

Data Quantity Requirement for ML

In my previous blog, I gave a brief overview of how the EDA process can be divided into different steps. Today, I will be shedding light on the quantitative requirement of data for developing a successful machine-learning model, a part of the Structu...

Jan 12, 2023 · 5 min readhassanfarid.hashnode.dev

Exploratory Data Analysis - An Overview

Exploratory Data Analysis: Today, I am going to explore in depth the first and most important phase of the machine-learning pipeline and that is Exploratory Data Analysis (EDA). EDA is the process of identifying and sorting out insights from the give...

Jan 11, 2023 · 5 min readhassanfarid.hashnode.dev

Hassan Farid

About

Available for

Hassan Farid's blogs

Overview of NLP Preprocessing Techniques

Demystifying Duplicate Values, their Causes, and Preventions

Exploring Data Variables in the Titanic Dataset: A Step-by-Step Guide to EDA

Data Quantity Requirement for ML

Exploratory Data Analysis - An Overview

Hassan Farid

About

Available for

Hassan Farid's blogs

Overview of NLP Preprocessing Techniques

Demystifying Duplicate Values, their Causes, and Preventions

Exploring Data Variables in the Titanic Dataset: A Step-by-Step Guide to EDA

Data Quantity Requirement for ML

Exploratory Data Analysis - An Overview

Hassan Farid

About

Available for

Hassan Farid's blogs

Overview of NLP Preprocessing Techniques

Demystifying Duplicate Values, their Causes, and Preventions

Exploring Data Variables in the Titanic Dataset: A Step-by-Step Guide to EDA

Data Quantity Requirement for ML

Exploratory Data Analysis - An Overview

Search Hashnode

Hassan Farid

About

Available for

Hassan Farid's blogs

Overview of NLP Preprocessing Techniques

Demystifying Duplicate Values, their Causes, and Preventions

Exploring Data Variables in the Titanic Dataset: A Step-by-Step Guide to EDA

Data Quantity Requirement for ML

Exploratory Data Analysis - An Overview