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Learning library

For all the self-taught geeks out there, here our content library with most of the learning materials we have produces throughout the years.

It makes sense to start learning by reading and watching videos about fundamentals and how things work.

Machine Learning Engineering (16 weeks)

Full-Stack Software Developer

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Social & live learning

The most efficient way to learn: Join a cohort with classmates just like you, live streams, impromptu coding sessions, live tutorials with real experts, and stay motivated.

From zero to getting paid as a developer, learn the skills of today and tomorrow. Boost your professional career and be hired by a technology company.

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Practice Data science building interactive projects

What to build with Data science

Practice and develop your coding skills by building real live interactive autograded projects with solutions and video tutorials

  • python

  • machine-learning

  • datas-science

Machine Learning Final Project

  • beginner

These are your machine learning final project instructions

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  • python

  • machine-learning

  • datas-science

ML web app using Streamlit tutorial

  • beginner

Use Streamlit to create a machine learning web application to predict Titanic survival.

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  • python

  • flask

  • machine-learning

ML web app using Flask tutorial

  • beginner

Use Flask to create a machine learning web application to predict Titanic survival.

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  • python

  • machine-learning

  • datas-science

Image Classifier Project Tutorial

  • beginner

Use a deep learning algorithm to build an image classifier.

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  • python

  • machine-learning

  • datas-science

Alternative time series project

  • beginner

Use ARIMA model o create a cpu usage anomaly detection model.

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  • python

  • machine-learning

  • datas-science

Time Series Project Tutorial

  • beginner

Use your new skills to help American Express improve their default prediction model.

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  • python

  • machine-learning

  • datas-science

K-means Project Tutorial

  • beginner

Use k-means algorithm to segment houses based on their coordinates.

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  • python

  • machine-learning

  • datas-science

K-nearest neighbors Project Tutorial

  • beginner

Use KNN algorithm to build a simple movie recommender system.

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  • python

  • machine-learning

  • datas-science

NLP Project Tutorial

  • beginner

Create a url spam detector using NLP techniques and Support Vector Machine algorithm

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  • python

  • machine-learning

  • datas-science

Naive Bayes Project Tutorial

  • beginner

Use Naive Bayes algorithm to classify apps reviews as good or bad.

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  • python

  • machine-learning

  • datas-science

Boosting Algorithms Project Tutorial

  • beginner

Use XGBoost algorithm to optimize your previous models done in Titanic dataset

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  • python

  • machine-learning

  • datas-science

Random Forest Project Tutorial

  • beginner

Use Random Forest algorithm to optimize your previous models done in Titanic dataset

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  • python

  • machine-learning

  • datas-science

Decision Tree Project Tutorial

  • beginner

Use decision tree algorithm to diagnose diabetes by using patiente medical information from previous medical exams

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  • python

  • machine-learning

  • datas-science

Regularized Linear Regression Project Tutorial

  • beginner

Use a dataset with a lot of variables to practice your regularized linear regression skills and select only some of the features for your model

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  • python

  • machine-learning

  • datas-science

Linear Regression Project Tutorial

  • beginner

How much will your insurance cost based on a set of variables? Use this small dataset to model the relationship between several explanatory variables and a numerical target using a linear regression algorithm.

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  • python

  • machine-learning

  • datas-science

Logistic Regression Project Tutorial

  • intermediate

Logistic Regression is the ideal first algorithm to learn how to model. Without doing much cleaning, train your model and optimize until you are satified with your evaluation and results.

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  • python

  • datas-science

  • data-processing

Data Preprocessing Project Tutorial

  • beginner

This is a dataset that contains Airbnb data on New York City. You will use it to practice your new EDA (exploratory data analysis) and data wrangling skills.

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  • python

  • pandas

  • machine-learning

Real Estate Data Cleanup

  • easy

Prepare a real dataset to later train a machine learning model

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