Course Outline
Perkenalan
Memulai dengan Knime
- Apa itu KNIME?
- KNIME Analisis
- KNIME Pelayan
Machine Learning
- Teori pembelajaran komputasi
- Algoritma komputer untuk pengalaman komputasi
Mempersiapkan Lingkungan Pembangunan
- Menginstal dan mengkonfigurasi KNIME
KNIME Node
- Menambahkan node
- Accessing dan membaca data
- Menggabungkan, memisahkan, dan memfilter data
- Mengelompokkan dan memutar data
- Membersihkan data
Pemodelan
- Membuat alur kerja
- Mengimpor data
- Mempersiapkan data
- Memvisualisasikan data
- Membuat model pohon keputusan
- Bekerja dengan model regresi
- Memprediksi data
- Membandingkan dan mencocokkan data
Teknik Pembelajaran
- Bekerja dengan teknik hutan acak
- Menggunakan regresi polinomial
- Menugaskan kelas
- Mengevaluasi model
Ringkasan dan Kesimpulan
Requirements
- Pengalaman dengan Python
- pengalaman R
Hadirin
- Ilmuwan Data
Testimonials (5)
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Course - R Fundamentals
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.