Intro to Programming:

Lessons:

1. Arithmetic and Variables
2. Functions
3. Data Types
4. Conditions and Conditional Statements
5. Intro to Lists

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Python

Lessons:

1.   Hello Python
2.   Functions and Getting Help
3.    Booleans and Conditionals
4.     Lists
5.     Loops and List Comprehensions
6.     Strings and Dictionaries
7.     Working with External Laboratories

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Intro to Machine Learning

Lessons

1.   How model works
2.    Data Basic Exploration
3.     Your first Machine Learning Model
4.     Model Validation
5.     Underfitting and Overfitting
6.      Random Forests
7.      Machine Learning Competitions

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Intermediate Machine Learning

Lessons

1.  Introduction
2.   Missing Values
3.    Categorical Value
4.    Pipelines
5.    Cross – Validation
6.    XGBoost
7.    Data Leakage

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Intro to Deep Learning

Lessons:

1.    A single Neuron
2. Deep Neutral Networks
3. Stochastic Gradient Descent
4. Overfitting ang Underfitting
5. Dropout and Batch Normalization
6. Binary Classification

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Computer Vision

Lessons:

1. The Convolutional Classifier
2. Convolution and ReLU
3. Maximum Pooling
4. The Sliding Window
5. Custom Convnets
6. Data Agmentation

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