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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