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Sachin Kumar

Mar 21 • 8 tweets • 12 min read

" Exploratory Data Analysis on Terrorism "

🧵

We are performed Exploratory Data Analysis on terrorism #dataset to find out the hot zone of #terrorism. #EDA nothing but #analyzing the given data & finding the #trends, patterns & making some assumptions. #DataVisualization #DataScience #MachineLearning

In this #dataset, there are many features including countries, states, regions, gang names, weapon types, target types, years, months, days, and many more features.

💡 Trends we got by this #EDA :

🔺 Most of the #attacks were attacked through explosives and then through firearms.
🔺 Attacks were more during 2014 and then in 2015. When compared to #attacks from 1970 onwards, the last 6 years scored a maximum
#DataScientists #MachineLearning

🔺 Almost Every day has the same contribution but attacks were low during 31st and high during 15th and 1st
🔺 #Iraq dominates all the countries and it has the highest number of attacks & then #Pakistan, #Afghanistan, and #India follow it

#DataScientist #EDA #DataVisualization

🔺 The #MiddleEast& #NorthAfrica leads 1st among all the regions and then #SouthAsia takes 2nd place.
🔺 For most of the attacks, the target is Private Citizens& property and the next #Military leads.
🔺 Most of the attacks were through either Bombing or #Explosion.

#Datascience

🙌Guys Please Check my EDA insights 🔥 & Give Your Valuable insights

#Github #Linkedin #DataScience #technology #techtwitter #EDA #developers #DataCleaningchallenge #DataAnalytics #Dataengineering #dataviz #linkedintopstartups #databricks #Terrorism

linkedin.com/feed/update/ur…

#EDA nothing but analyzing the given data & finding the trend patterns & making some assumption

#Github #datascience #exploratorydataanalysis #dataanalytics #datacleaning #datavisualization #dataanalysis

✅ Github ID for Complete Dataset & Project File - github.com/sachinkumar160…

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More from @Sachintukumar

Sachin Kumar

@Sachintukumar

Mar 23

Day9⃣ of #100dayswithMachineLearning

Topic - Machine Learning Development Life Cycle

🧵

#Machinelearning has given the computer systems the abilities to automatically learn without being explicitly #programmed. But how does a machine learning system work? So, it can be described using the #lifecycle of machine learning.

#Machinelearning life cycle is a cyclic process to build an efficient machine learning #project. The main purpose of the life cycle is to find a solution to the problem or project.

Machine learning life cycle involves seven major steps, which are given below:
#DataScience

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Sachin Kumar

@Sachintukumar

Mar 23

" Data Analyst Project on Hotel Booking "

That you can add in your resume or portfolio to showcase your skills 💯

🧵

◻ In Recent Year , City Hotel & Resort Hotel have seen High Cancellation Rates. Each Hotel is now Dealing with number of issue as result including Fewer #revenue & Less than ideal Hotel room use.

🔹 Insights :

1️⃣ More Cancellation occur when prices are higher
2️⃣ When there is Longer waiting list , Customer tend to Cancel more frequently
3️⃣ The majority of Clients are coming from a offline #travel agents to make their #reservations

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Sachin Kumar

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Mar 23

SQL Interviews Question for Product companies

👇

create table entries (
name varchar(20),
address varchar(20),
email varchar(20),
floor int,
resources varchar(10));

#SQL #DataScience #DataAnalytics #MachineLearning #Deeplearning

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Sachin Kumar

@Sachintukumar

Mar 23

" SQL Interview problem "

🧵

This is a REAL SQL Interview question that might seem impossible to solve just by using SQL at first. But during the video the problem by breaking it into multiple parts

#SQL #DataScience #DataCleaningchallenge #DataAnalytics #dataviz #MachineLearning #deeplearning

Youtube Video Link -

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Sachin Kumar

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Mar 22

Day8⃣ of #100dayswithMachineLearning

Topic - Applications of Machine learning

🧵

@Google

#Machinelearning is a buzzword for today's #technology it is growing very rapidly day by day. We are using machine learning in our daily life even without knowing it such as @Google Maps, Google assistant, #Alexa, etc. Below are some most trending real-world applications of ML

✅ Image Recognition:
It is one of the most common applications of machine learning. It is used to identify objects, persons, places, #digital images, etc. The popular use case of image recognition and face detection is Automatic friend tagging suggestion

javatpoint.com/applications-o…

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Sachin Kumar

@Sachintukumar

Mar 22

" SQL Puzzle Interview Question "

🧵

Table script:

create table input (
id int,
formula varchar(10),
value int
)
insert into input values (1,'1+4',10),(2,'2+1',5),(3,'3-2',40),(4,'4-1',20);