We are pleased to announce Diana (Full Stack Developer) joined Bhetey. She is currently working for Fujitsu. She brings in her experience as well her ideas on how to move Bhetey forward. We are thrilled with her excellent problem solving skills, eye for details and her never say die attitude. She is not afraid to take on any challenge even if the odds seems impossible, she wants to be that possibility.
Are you interested in data analysis or are you a data analyst who needs a refresher ?
Here is a crash course for you.
But before you get started, there are few important things you need to know.
What language are you interested in ?
There are many languages to choose from. Most widely used are : Python for data analysis. Python has various version (e.g 2.7, 3.5 etc).
Python 2.7.. and 3.5.. are the same thing but just a few couples of different in terms of syntax and in-built modules.
Kindly read more about their differences and similarities here.
In order to follow along with the coding kindly click : No_show Medical Appointment.
No Show Medical Appointment
IMPORTANT OVERVIEW OF THE DATA SET: This dataset collects information from 100k medical appointments in Brazil and is focused on the question of whether or not patients show up for their appointment. A number of characteristics about the patient are included in each row.
✓ ‘ScheduledDay’ tells us on what day the patient set up their appointment.
✓ ‘Neighbourhood’ indicates the location of the hospital.
✓ ‘Scholarship’ indicates whether or not the patient is enrolled in Brasilian welfare program Bolsa Família.
Be careful about the encoding of the last column: it says ‘No’ if the patient showed up to their appointment, and ‘Yes’ if they did not show up.
WHAT THE PROJECT IS ABOUT.
Follow along here : No_show Medical Appointment.
If you want to learn or have doubts please leave a comment or send a mail.
Thank you for reading.
Hi everyone :)
Most times when i want to make decisions or do something i think about the proverb below.
It helps me to guide my thoughts when i remember it. I feel i should share. Cheers
As a Data Science addict, i will like to invite you to register and join the virtual conference.
IBM Community offers a constant stream of freshly updated content including featured blogs and forums for discussion and collaboration; access to the latest white papers, webcasts, presentations, and research uniquely for members, by members.
The conference will provide you with better insight on data science, best practices and many more. The registration is free
The misconception around AI, ML and DL are increasing every day.
After doing some researches and asking questions about what people think these 3 terms are, I came to a conclusion that they are been misunderstood. Do you know what they mean apparently?
One of many of the recent breakthroughs of DL in AI is the Google DeepMind's Alpha Go. In October 2015, AlphaGo became the first computer Go program to beat a human professional Go player without handicaps on a full-sized 19×19 board. Read more AlphaGo.
Each one of these concepts has its own strengths and weakness. It all depends on the situation you have at hand and the volume of your data.
Now you can see how they are interconnected with each other. All of them cannot survive without data.
Thank you for reading. There will be more articles coming weekly. Stay informed.