Data Classification
A partir de 37.13 $ /h
Data Classification techniques of the Statistical and Mathematica domain are very important for the students to classify the data and provide a smarter analysis to reach a wiser decision. These techniques have a lot of applications in every walk of life, as life itself is the name of continuous decision making. And the accuracy of your decision making depends very much upon the information base you have and its smarter management.
So it is important to comprehend these approaches.
So it is important to comprehend these approaches.
Información adicional
You will need a notebook and pen pencil with a laptop to note down the concepts
Lugar
Clase en el domicilio del profesor :
- Taoyuan, Taoyuan District, Taoyuan City, Taiwan
Conectado desde República de China
Acerca de mí
A Ph.D. research scholar in Applied Mathematics and Statistics is here to help the students in developing their basic Mathematical Skills and its Application in daily life problems. I have more than 8 years of experience in teaching Mathematics and Statistics at various academic institutions ranging from junior high school up to University level undergraduate programs. I believe in the holistic development of the student(s) and nurturing their potentials to enable them to deal with challenges of life and inspire to lead others to contribute to society and humanity.
Formación
PhD in Statistics and applied Mathematics ( Course Work has been completed with a CGPA of 3.9 in the Year 2020 from Chung Yuan Christian University , Zhongly Taiwan .
Experiencia / Calificaciones
More than 12 years in overall including academic and non academic services. while 8 years of experince in teaching Statistics and Mathematics...
Edad
Niños (7-12 años)
Adolescentes (13-17 años)
Adultos (18-64 años)
Nivel del estudiante
Principiante
Intermedio
Avanzado
Duración
60 minutos
90 minutos
120 minutos
La clase se imparte en
inglés
Habilidades
Disponibilidad en una semana típica.
(GMT -05:00)
Nueva York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Garantía del Buen Profesor








