What You Will Learn?
  • Build artificial neural networks with Tensorflow and Keras
  • Make predictions using linear regression, polynomial regression, and multivariate regression
  • Classify images, data, and sentiments using deep learning
  • Implement machine learning at massive scale with Apache Spark's MLLib
  • Understand reinforcement learning - and how to build a Pac-Man bot
  • Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
  • Use train/test and K-Fold cross validation to choose and tune your models
  • Build a movie recommender system using item-based and user-based collaborative filtering
  • Clean your input data to remove outliers
  • Design and evaluate A/B tests using T-Tests and P-Values

Follow a Structured Curriculum

  • Artificial Intelligence
  • Environmental Constraints
  • Various Agent Types
  • PEAS Analysis of Problem
  • Process flow for an AI agent
  • Machine Learning Introduction
  • Supervised & Unsupervised Learning
  • Regression & Classification Problems
  • What makes a Machine Learning Expert?

  • What is Python?
  • Installing Anaconda
  • Understanding the Spyder Integrated Development Environment (IDE)
  • Python basics and string manipulation
  • lists, tuples, dictionaries, variables
  • Control Structure – If loop, For & while Loop
  • Single line loops
  • Writing user defined functions
  • Object oriented programming
  • Working with Class & Inheritance

  • Mengimpor data
  • Bekerja dengan dataset
  • Memanipulasi dataset
  • Membuat variabel baru
  • Mengekspor dataset ke file eksternal
  • Penggabungan Data

  • Measures of Central tendency
  • Measures of dispersion
  • Probability
  • Binomial Distribution
  • Normal Distribution
  • Hypothesis Testing
  • Correlation

  • Analisis Data Eksplorasi
  • Aturan Validasi Data
  • Teknik pembersihan data
  • Persiapan Data untuk Analisis

Learn From the best

Examples are perfect and lots of practice data!

It covers everything that one needs to know and start working on data science. Examples are perfect and lots of practice data with code to execute in Python.
I am extremely thankful for such an awesome course!

Rangga Aditya Piratama, Software Engineer at Indonesian Fintech Company

Machine Learning Course Schedule

BootUP provides 4 entry levels for the Machine Learning. Check the available levels and the schedule in the table below and choose your entry level. We provide some courses in other countries based on the available schedules and plans. We started the journey in India as Skill Speed, a well known and respected academy with thousands of graduates and students, mostly hired by our career partners. They provide BootUP Academy students with some venues in India. We also might have different venues in different countries based on our plans and availability of our courses.

Data Science & Machine Learning One Month Flex Intensive Bootcamp Jakarta, Indonesia
South Quarter - Tower C, 10th Floor Jl. RA. Kartini No. 8 Jakarta Selatan, Indonesia 12430
06 Apr 2020 Sign Up
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