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Apr 3 โ€ข 6 tweets โ€ข 2 min read Twitter logo Read on Twitter
Day 20 of #100DayswithMachineLearning

Topic - EDA using Univariate Analysis

๐Ÿงต
๐Ÿ”ธUni means one and variate means variable, so in univariate analysis, there is only one dependable variable. The objective of univariate analysis is to derive the data, define and summarize it, and analyze the pattern
๐Ÿ”ธUnivariate data can be described through:

- ร˜ Frequency Distribution Tables
ร˜ Bar Charts
ร˜ Histograms
ร˜ Pie Charts

ร˜ Frequency Polygons
Notebook Link -

github.com/sachinkumar160โ€ฆ
Blog Link -

enjoyalgorithms.com/blog/univariatโ€ฆ
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More from @Sachintukumar

Sachin Kumar Profile picture
Apr 4
Build your ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜ Portfolio for ๐—™๐—ฟ๐—ฒ๐—ฒ ๐Ÿ’ฅ

All These Projects are free Projects Do them and You will Learn a Lot with Them ! After Doing them showcase them in your Portfolio !

A Thread ๐Ÿงต
๐ƒ๐ž๐ฅ๐ข๐ฏ๐ž๐ซ๐ฒ ๐ƒ๐ฎ๐ซ๐š๐ญ๐ข๐จ๐ง ๐๐ซ๐ž๐๐ข๐œ๐ญ๐ข๐จ๐ง
๐Ÿ”— Link -ย lnkd.in/gPkuE65i
๐ˆ๐ง๐ฌ๐ข๐ ๐ก๐ญ๐ฌ ๐Ÿ๐ซ๐จ๐ฆ ๐…๐š๐ข๐ฅ๐ž๐ ๐Ž๐ซ๐๐ž๐ซ๐ฌ
๐Ÿ”— Link -ย lnkd.in/gKMKK3KG
Read 7 tweets
Sachin Kumar Profile picture
Apr 4
Day 21 of #100dayswithmachinelearning

Topic -- EDA using Bivariate and Multivariate Analysis

๐Ÿงต
โœ…Bivariate Analysis
Bi means two and variate means variable, so here there are two variables. The analysis is related to cause and the relationship between the two variables.

Three types -

๐Ÿ”ธScatter Plot
๐Ÿ”ธLinear Correlation
๐Ÿ”ธChi-square Test
โœ…Multivariate analysis :

is required when more than two variables have to be analyzed simultaneously.

Types -

๐Ÿ”ธCluster Analysis
๐Ÿ”ธFactor Analysis
๐Ÿ”ธMultiple Regression Analysis
๐Ÿ”ธ Principal Component Analysis
Read 6 tweets
Sachin Kumar Profile picture
Apr 3
Tips to keep in mind when adding projects to your resume as a data analyst or Data Scientist ๐Ÿ”ฅ

๐Ÿงต
๐Ÿ’ป Choose projects that are relevant to the position you're applying for.

๐Ÿค” Highlight the problem or challenge you were trying to solve.

๐Ÿ‘ฉโ€๐Ÿซ Describe the approach to solving the problem, including the methods and tools you used.
๐Ÿ‘ฉโ€๐Ÿ’ป Be specific about any programming languages, data visualization tools, or statistical techniques you employed.

๐Ÿ’ฒ Use metrics such as percentage improvements, dollars saved, or time reduced to show the impact of your contributions.
Read 6 tweets
Sachin Kumar Profile picture
Apr 2
If you want to Master Power BI , Try these FREE High Quality Courses! ๐Ÿ“Š๐ŸŒ(Guaranteed results!)

๐Ÿงต
๐Ÿ†๐Ÿ”— ๐Ÿด-๐—›๐—ผ๐˜‚๐—ฟ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐—•๐—œ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ ๐—ณ๐—ผ๐—ฟ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€
lnkd.in/dYb9CvB3

๐Ÿ†๐Ÿ”— ๐—›๐—ฎ๐—ป๐—ฑ๐˜€-๐—ข๐—ป ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐—•๐—œ ๐—ง๐˜‚๐˜๐—ผ๐—ฟ๐—ถ๐—ฎ๐—น: ๐—™๐—ฟ๐—ผ๐—บ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ ๐˜๐—ผ ๐—ฃ๐—ฟ๐—ผ
lnkd.in/gtB9YSM6
๐Ÿ†๐Ÿ”— ๐Ÿฐ-๐—›๐—ผ๐˜‚๐—ฟ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐—•๐—œ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ ๐—ณ๐—ผ๐—ฟ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€
lnkd.in/gi2CKw4t

๐Ÿ†๐Ÿ”— ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ ๐—•๐—œ ๐—ง๐˜‚๐˜๐—ผ๐—ฟ๐—ถ๐—ฎ๐—น ๐—ณ๐—ผ๐—ฟ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€
lnkd.in/gBEswDxR
Read 7 tweets
Sachin Kumar Profile picture
Apr 2
Day 19 of #100DayswithMachineLearning

Topic - UnderStanding Your Data in ML

๐Ÿงต
๐Ÿ”ธThe quality & quantity of data available for training & testing play significant role in determining the performance of ML model

๐Ÿ”ธML algorithm use data to learn pattern & relationship between input variable target output whch can be used for prediction or classification tasK
๐Ÿ”ธData can be divided into training and testing sets. The training set is used to train the model, and the testing set is used to evaluate the performance of the model. It is important to ensure that the data is split in a random and representative way.
Read 6 tweets
Sachin Kumar Profile picture
Mar 26
โ™ฆ๏ธ5 SQL projects to build your strong Data analytics portfolio today๐ŸŽฏ

๐Ÿงต
1. European Soccer Game Analysis
Tech Stack: SQL

what you learn:
ORDER BY, GROUP BY, and LIMIT, Joins, Aggregate functions

Dataset link: lnkd.in/gFa_E2XA
2. Analyzing Road Safety in the UK
Tech stack: SQL, python

what you learn:
Aggregate functions, CREATE, indexing, subqueries

Repository Link: lnkd.in/dbEAKY2G
Read 8 tweets

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