Training Courses

Python for Data Science

Machine Learning for Python

Deep Learning with TensorFlow

Course Summary: Introduce participants to python programming language, which is a most popular language for data science and analytics. This is an introductory course that equips participants with programming the Pythonic way and how to do basic data wrangling and manipulation.

Target level: Beginner

Duration: 5 days

Pre-requisite: Basic Programming Knowledge

Course content:

Overview of python programming

Control structures and arrays

Manipulating data with pandas

Data visualization with python

Guided tutorials & laboratory exercises

Course Summary: Introduce participants to machine learning with Python, focusing more on the techniques and methods than the statistics behind these methods. Participants will be introduced to various algorithms and how to apply them on real datasets with the help of scikit learn toolkit.

Target level: Beginner

Duration: 5 days

Pre-requisite: Basic Python Programming Knowledge

Course content:

Introduction To Machine Learning

Supervised Learning Algorithms & Applications

Parameter Tuning & Regularization

Unsupervised Learning Algorithms & Applications

Ensemble Methods To Improve Performance

Neural Networks And Deep Learning

Course Summary: The popularity of Deep Learning has skyrocketed over the past few years. This course aim to expose aspiring "deep learners" to using deep learning to approach state-of-the-art problems in speech recognition, object detection, and many other tasks that humans normally excel in, using Google's open-sourced platform, Tensorflow.

Target level: Intermediate

Duration: 5 days

Pre-requisite: Python, Machine Learning

Course content:

Introduction To Deep Learning (DL)

Optimization & Regularization

Convolutional Neural Networks For Images

Recurrent Neural Networks For Texts

Deploying DNN To Production

DL Use Cases & Best Practices

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