Python for DataScience

Introduction to Pandas

Introduction to Numpy

How to take the Exploratory Data-analysis Module

Integrals and Derivatives

Learn the basics and become comfortable using pandas for manipulating machine learning datasets.

Pandas for Machine Learning

Prepare a real dataset to later train a machine learning model

Real Estate Data Cleanup

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

K-means Project Tutorial

Use KNN algorithm to build a simple movie recommender system.

K-nearest neighbors Project Tutorial

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

ML web app using Flask tutorial

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

NLP Project Tutorial

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

Naive Bayes Project Tutorial

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

Boosting Algorithms Project Tutorial

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

Regularized Linear Regression Project Tutorial

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

Random Forest Project Tutorial

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

Time Series Project Tutorial

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

Alternative time series project

Use Streamlit to create a machine learning web application.

ML web app using Streamlit tutorial

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.

Linear Regression Project Tutorial

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

Decision Tree Project Tutorial

Use a deep learning algorithm to build an image classifier.

Image Classifier Project Tutorial

These are your machine learning final project instructions

Machine Learning Final Project

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.

Logistic Regression Project Tutorial

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.

Data Preprocessing Project Tutorial

This interactive tutorial will help you become familiar on it, master the most used functionalities and help you clean up your first datasets

Readings and lessons about Data science

Python for DataScience

How to take the Exploratory Data-analysis Module

Introduction to Pandas

Integrals and Derivatives

Introduction to Numpy