Machine Learning With Python

Learning PathSkills: Image Processing, Text Classification, Speech Recognition

Python Machine Learning Artwork

Machine learning is a field of computer science that uses statistical techniques to give computer programs the ability to learn from past experiences and improve how they perform specific tasks.

With this learning path, you’ll sample a range of common machine learning scenarios using Python.

Additional Resources

Machine Learning With Python

Learning Path ⋅ 13 Resources

A Basic Python Setup for Machine Learning on Windows


Setting Up Python for Machine Learning on Windows

In this step-by-step tutorial, you’ll cover the basics of setting up a Python numerical computation environment for machine learning on a Windows machine using the Anaconda Python distribution.

Python AI: How to Build a Neural Network & Make Predictions


Building a Neural Network & Making Predictions With Python AI

In this step-by-step course, you'll build a neural network from scratch as an introduction to the world of artificial intelligence (AI) in Python. You'll learn how to train your neural network and make accurate predictions based on a given dataset.

Python Face Recognition and Face Detection


Traditional Face Detection With Python

In this course on face detection with Python, you'll learn about a historically important algorithm for object detection that can be successfully applied to finding the location of a human face within an image.

ChatterBot: Build a Chatbot With Python


ChatterBot: Build a Chatbot With Python

Chatbots can help to provide real-time customer support and are a valuable asset in many industries. When you understand the basics of the ChatterBot library, you can build and train a self-learning chatbot with just a few lines of Python code.

Color Spaces and How to Use Them With OpenCV and Python


Image Segmentation Using Color Spaces in OpenCV + Python

In this introductory tutorial, you'll learn how to simply segment an object from an image based on color in Python using OpenCV. A popular computer vision library written in C/C++ with bindings for Python, OpenCV provides easy ways of manipulating color spaces.

Linear Regression in Python


Starting With Linear Regression in Python

In this video course, you'll get started with linear regression in Python. Linear regression is one of the fundamental statistical and machine learning techniques, and Python is a popular choice for machine learning.

Practical Text Classification With Python and Keras


Learn Text Classification With Python and Keras

In this course, you’ll learn about Python text classification with Keras, working your way from a bag-of-words model with logistic regression to more advanced methods, such as convolutional neural networks. You’ll also see how you can use pretrained word embeddings and hyperparameter optimization.

Split Your Dataset With scikit-learn's train_test_split()


Splitting Datasets With scikit-learn and train_test_split()

Learn why it's important to split your dataset in supervised machine learning and how to do that with train_test_split() from scikit-learn.

Python Speech Recognition


Speech Recognition With Python

See the fundamentals of speech recognition with Python. You'll learn which speech recognition library gives the best results and build a full-featured "Guess The Word" game with it.

PyTorch vs Tensorflow for Your Python Deep Learning Project


PyTorch vs TensorFlow for Your Python Deep Learning Project

PyTorch vs Tensorflow: Which one should you use? Learn about these two popular deep learning libraries and how to choose the best one for your project.

Generative Adversarial Networks: Build Your First Models


Generative Adversarial Networks: Build Your First Models

Learn all about one of the most exciting areas of research in the field of machine learning: generative adversarial networks. You'll learn the basics of how GANs are structured and trained before implementing your own generative model using PyTorch.

The k-Nearest Neighbors (kNN) Algorithm in Python


Using k-Nearest Neighbors (kNN) in Python

Learn all about the k-nearest neighbors (kNN) algorithm in Python, including how to implement kNN from scratch. Once you understand how kNN works, you'll use scikit-learn to facilitate your coding process.

K-Means Clustering in Python: A Practical Guide


K-Means Clustering in Python: A Practical Guide

Learn how to perform k-means clustering in Python. You'll review evaluation metrics for choosing an appropriate number of clusters and build an end-to-end k-means clustering pipeline in scikit-learn.


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