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Machine Learning using Python

Machine Learning Crash Course using Python
COURSE FEATURES
Course Duration
Duration
2 Days
Skill Level
Skill level
All levels info Course tailored to participants' expertise.
Course Language
Language
RO / EN
Course Type
Type
In-class / Online-live
Assesments
Assessments
Yes
Price for Custom Training
Custom Training
1800 Eur / Day
Price for Open Class Course
Open Class
850 Eur / Participant

Why Python? Because simplicity is the best, we want to focus on understanding the building blocks of machine learning with the shortest learning curve.

Python comes equipped with a collection of pre-built packages and is the to-go language for fast prototyping.

All the concepts presented in this course will be combined with programming exercises based on real datasets and use cases which will enable you to have a clear and gradual understanding of machine learning. We will provide you with enough information and examples so that after finishing this course you can confidently write your own machine learning applications.

Using Python for machine learning can not only help with organizing data, but it can also help analyze and learn from disparate data sets – forming hypotheses, creating predictions, and improving decisions.

This course is taught in Romanian, with course materials available in either English, or Romanian. The course can be customized - on request.

DAY
1

TOPICS

7

TOPICS
7
Linear Regression: A Visual Understanding
Minimizing Loss with Gradient Descent: A simple, visual approach
First Steps with Gradient Descents: A coding approach
Train, Test & Validation: How to split your data and why
Feature Engineering: Trying to make your model smarter
Underfitting versus Overfitting: Simple model versus complex model
Key take-aways for the day
DAY
2

TOPICS

7

TOPICS
7
A Visual Understanding
Binary Classification: Tuning the “decision threshold”
Evaluation metrics: Precison & Recall
Understand Prediction Bias: Possible Root Causes
Optimizing Predictions: Regularization in high dimensional space
From Logistic Regression to Neural Nets: Build your intuition
Key take-aways for the day

Contact Us

Feel free to leave us your thoughts so we can discover the solution together!

EMAIL

academy@esolutions.ro

Get in touch

0753.029.187

Our address

20 Constantin Budisteanu Street , 1 st. District, Bucharest

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EMAIL

academy@esolutions.ro

Get in touch

0753.029.187

Our address

20 Constantin Budisteanu Street , 1 st. District, Bucharest

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