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Divij Sharma
Divij Sharma

11 Followers

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Jan 28

Linear Regression — Basics, Assumptions and Evaluation

Linear Regression (LR) is the first algorithm I learnt while starting my journey in Data Science. In a sense Linear Regression is “Hello World” of algorithms. This is the most basic algorithm. …

8 min read

Linear Regression — Basics, Assumptions and Evaluation
Linear Regression — Basics, Assumptions and Evaluation

8 min read


Jan 16

Best Practices for Data Visualization

Even before the written script was invented, humans used to communicate through paintings. We understand better and absorb more when the information is presented in the form of visual elements. In simple terms, data visualization is representing the data in the form of various visual elements like charts, graphs, etc. …

Visualization

5 min read

Best Practices for Data Visualization
Best Practices for Data Visualization
Visualization

5 min read


Published in MLearning.ai

·Aug 9, 2022

Working with Categorical Variables

The world is divided into many categories and so is the data. Thinking about categories is the first step a child takes to make sense of the world. We teach child about the categories in the world. Cat, dog, tiger, deer are animals. Then we teach that cat, dog, sheep…

Categorical Data

4 min read

Working with Categorical Variables
Working with Categorical Variables
Categorical Data

4 min read


Aug 18, 2021

k Nearest Neighbors (kNN) in machine learning

k Nearest Neighbors (kNN) is one of the fundamental supervised machine learning algorithms. kNN works with the philosophy that usually neighbors are similar. It can be used for both classification and regression problems but is popularly used for classification problems and seldom for regression task. kNN is a very simple…

Data Science

5 min read

k Nearest Neighbors (kNN) in machine learning
k Nearest Neighbors (kNN) in machine learning
Data Science

5 min read


Published in CodeX

·Apr 4, 2021

Imbalanced Data in Classification Problem

In real world many times we come across classification problem of the data that has imbalance. The data is skewed towards specific label or class only. What it means that one specific label is present in the data in much less quantity as compared to the other label(s). There are…

Imbalanced Data

7 min read

Imbalanced Data in Classification Problem
Imbalanced Data in Classification Problem
Imbalanced Data

7 min read


Published in MLearning.ai

·Mar 15, 2021

Calling APIs with Authentication Token

I had to write a python script to calling a series of APIs based on business logic. The issue was that these APIs needed an authentication token to execute. …

Python

3 min read

Calling APIs with Authentication Token
Calling APIs with Authentication Token
Python

3 min read


Published in MLearning.ai

·Mar 14, 2021

What is Data Pipeline?

In today’s world we are getting data from variety of sources. The data is generated from internal sources like IoT devices fitted in an automobile, POS machines in a store, inventory data of a retail store and from external sources like https://data.gov.in/ for India, https://www.data.gov/ for US etc. (I am…

Data Pipeline

4 min read

What is Data Pipeline?
What is Data Pipeline?
Data Pipeline

4 min read


Published in Analytics Vidhya

·Sep 28, 2020

Config Files and Logging

Most of the Data Scientist coding in Python are comfortable using Jupyter Notebook. One of the most basic skills that most of the Data Scientist lack is writing a production ready code. As Jupyter Notebook gives a seamless IDE for examining the variables and displaying the print statements right below…

Python

5 min read

Python

5 min read


Published in Analytics Vidhya

·Jul 27, 2020

Finding Latitude and Longitude of places

I wanted to display statistics for a specific district on the map. The first step towards this was to find the latitude and longitude for the district so that pins can be displayed on map. Based on the pins, I wanted to display various data related to the district. In…

Python

4 min read

Finding Latitude and Longitude of places
Finding Latitude and Longitude of places
Python

4 min read


Published in Analytics Vidhya

·Apr 27, 2020

Working with Missing Values

One of the first things done in EDA is to analyze missing values. Depending on the data, many types of values can be considered as missing values. Sometimes cells with spaces only are considered as missing values and other times empty cells are considered as missing values. …

Python

2 min read

Working with Missing Values
Working with Missing Values
Python

2 min read

Divij Sharma

Divij Sharma

11 Followers

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