Webinar
  • 34 orang melihat ini

Learn All About Machine Learning – Classification 1 (Livestream)

minimal usia: 18 tahun
Level: Pemula
Bahasa Pengantar: Indonesia & Inggris
  • Pengajar:

    Algoritma Data Science Education

  • Tanggal dimulai:

    Senin, 6 Juli 2020
    06.30 PM - 09.30 PM WIB

  • Situs Webinar:

    Zoom

  • Kapasitas:

    100

Tentang Workshop

Hi Learners! Programming for Data Science is a 4-days (each 3 hours), in a livestream interactive online workshop format. Learn to solve binary and multi-class classification models using machine learning algorithms that are easily understood and readily interpretable. You will learn to write a classification algorithm from scratch, and appreciate the mathematical foundations underpinning logistic regressions and nearest neighbors algorithms.

We strongly recommend that you complete the Regression Models workshop prior to taking this course. Upon completion of this workshop, you will acquire the depth to develop, apply, and evaluate two highly versatile algorithms widely used today.Our course is beginner-friendly, as we want to democratize data science.

For those who have not to learn or familiar with programming, do not worry as our instructors and teaching assistant will be guiding you with the course. So, what are you waiting for? Register yourself now to be a data scientist!


PRASYARAT

We strongly recommend that you complete Algoritma's Programming for Data Science, Practical Statistics and Regression Models courses prior to taking this course.


Poin Materi Belajar

MODULE 1: LOGISTIC REGRESSION
1. RELATING PROBABILITIES TO ODDS
- Understanding Odds
- Understanding Log of Odds
- Plotting Odds and Log of Odds
2. LOGISTIC REGRESSION FROM FIRST PRINCIPLES
- Sigmoidal Logistic Function
- Key Assumptions of Sigmoid Function
- Extra Proof: Intuition Behind The
- Sigmoid Function
3. LOGISTIC REGRESSION IN ACTION
- Binary Logistic Regression
- Interpreting Coefficients
- Interpretation Against Continuous & Discrete Variables
4. PRACTICAL TIPS AND CASE STUDY
- Flight Delay Prediction Examples
- Customer Churn and Attrition Examples
- Risk Modeling on Loans from Quarter 4, 2017
5. PERFORMANCE EVALUATION AND MODEL SELECTION
- AIC (Akaike Information Criteria)
- Null Deviance and Residual Deviance
- Hauck Donner Effect

MODULE 2: NEAREST NEIGHBOURS
1. ALGORITHM CLOSER LOOK AT CLASSIFICATION
- Probabilities vs Class responses
- Cross Validation and Out-of sample error
- Bias-variance trade off
- Confusion matrix (accuracy, sensitivity, specificity, & precision)
2. K-NN IN ACTION
- Characteristics of k-NN
- Positives and Negatives
- Diagnosing Breast Cancer with k-NN
3. BUILDING BLOCKS OF K-NN
- Distance Function (Euclidean, Minkowsky)
- The k Parameter
- Standardization vs Min-Max Normalization
4. K-NN FROM FIRST PRINCIPLES
- Classifying Customer Segments with k-NN
- Writing Your Own k-NN Classifier
- Predicting Using Your Own k-NN Classifier


Jadwal Kelas

    • Tanggal dimulai
    • Waktu
    • # Sesi
    • Harga
    • 6 Jul (Senin)
    • 06.30 PM - 09.30 PM WIB
    • 4
    • Rp 2.200.000
    This course consists of multiple sessions, view schedule for sessions.
      • 6 Jul (Mon)
      • 06.30 PM - 09.30 PM WIB

      Classification I

      • 7 Jul (Tue)
      • 06.30 PM - 09.30 PM WIB

      Classification I

      • 8 Jul (Wed)
      • 06.30 PM - 09.30 PM WIB

      Classification I

      • 9 Jul (Thu)
      • 06.30 PM - 09.30 PM WIB

      Classification I


Rp 2.200.000 / per pax

Minggu, 05 Juli 2020, 11 PM WIB

Rp 2.200.000
Beli kelas ini segera dan dapatkan poin hingga Rp 44.000 untuk pembelian kelas berikutnya!


Tentang Pengajar

  • Algoritma Data Science Education
    Algoritma Data Science Education, (Data Science)

    Learn data science by building with Algoritma! We hold programming workshops and bootcamps for those who are looking to upgrade their data science skills.


Harga termasuk:

- All tools & materials during class
- Ongoing Mentorship
- Teaching Assistant Support


Sertifikat

Bentuk Sertifikat: Elektronik


Yang perlu disiapkan

- Laptop with minimum RAM 4GB
- Hard Disk with capacity free space of 10GB


Tanya Jawab

  • Tanya : Bisakah saya mendapat pengembalian uang jika tiba-tiba saya berhalangan hadir?

    Jawab : Tidak.

  • Tanya : Bisakah teman saya menggantikan saya jika saya berhalangan hadir?

    Jawab : Bisa, kalau kamu peserta umum dan bukan penerima Kartu Prakerja. Untuk penerima Kartu Prakerja kamu tidak diperbolehkan mengganti kepesertaan.


Syarat & Ketentuan

Semua pembayaran tidak dapat diuangkan kembali dan tidak bisa dialihkan ke workshop lain, tapi kamu boleh memberikan tiketmu ke orang lain jika kamu peserta umum. Untuk penerima Kartu Prakerja, pemindahan kepesertaan tidak berlaku. Hubungi tim kami untuk pengaturan lebih lanjut.

Segala pemberitahuan mengenai informasi dan perubahan kelas akan disampaikan langsung oleh sistem kami melalui email, harap melakukan pengecekan email secara berkala.


Catatan Khusus

Kesulitan mendaftar? Kami bisa membantu! Hubungi kami di
Whatsapp/SMS: +62 811 880 7172
Email: workshop@maubelajarapa.com
LINE: @maubelajarapa
Sampai ketemu di kelas!

Rp 2.200.000 / per pax

Minggu, 05 Juli 2020, 11 PM WIB

Rp 2.200.000
Beli kelas ini segera dan dapatkan poin hingga Rp 44.000 untuk pembelian kelas berikutnya!

Tertarik?

Namun berhalangan ikut kali ini? Daftarkan dirimu di bawah ini dan kami akan memberitahumu jika kelas tersedia lagi

Saya Tertarik

Kata Mereka

Tolong login sebelum mengirimkan ulasan Anda.

Belum ada Ulasan.


SIMILAR WORKSHOPS