In this #dataset, there are many features including countries, states, regions, gang names, weapon types, target types, years, months, days, and many more features.
🔺 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
🔺 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.
#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
That you can add in your resume or portfolio to showcase your skills 💯
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◻ 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
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
#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