Python is one is the foremost preferred high-level programming languages, which is being increasingly utilized in data science and in designing complex machine learning algorithms. In one of our articles, we discussed why one should learn the Python programing language for implementing AI

In this article, we list down the highest 7 free resources to find out Python for AI


Google’s Python Class

This is often a free class provided by the developers at Google. It includes written materials, lecture videos, and much of code exercises to practice Python coding. The basic exercises work on basic Python concepts like Science using Python, strings and lists, the build-up to the later exercises which are full programs handling text files, processes, and Http connections.

Introduction to Data

About: during this course, you’ll understand the fundamentals of knowledge science and analytics also as the way to use Python. The course will show you what data science is and the way is it used. You’ll undergo commonly used terms and write some code in Python also.

Machine Learning, Data Science, Data Analysis, Python & R

This course has been designed by data scientists to assist you to learn complex theories, algorithms, and Python libraries. With every tutorial, you’ll develop new skills and improve your understanding of this challenging yet lucrative sub-field of knowledge science. The course includes both Python and R and is additionally full of practical exercises that are supported by real-life examples.

MatPlotLib with Python

This course has been designed for those that want to find out a spread of the way to visually display data. With more than 58 lectures and 6 hours of content, MatPlotLib with Python course covers almost every major chart that Matplotlib is capable of providing. Intended for college kids who have already got a basic understanding of Python. you’ll take a step-by-step approach to make line graphs, scatter plots, stack plots, bar charts, 3D lines, 3D wireframes, 3D bar charts, 3D scatter plots, geographic maps, live-updating graphs, and far more. On completion of this course, you’ll not only have gained a deep understanding of the choices available for visualizing data but also skills to make well presented, visually appealing graphs.

Data Science with Analogies, Algorithms and Solved Problems

This course will assist you to learn complex theories, algorithms, and coding libraries in a simple way. With every tutorial, you’ll gain new skills and enhance your understanding of this field. It includes a quick introduction to Python and its libraries and the way to implement this language in machine learning.

Machine Learning In Python

About: during this e-book, you’ll learn essential techniques of machine learning in predictive analysis using Python programing language. the subject includes predictive model building, writing ensemble methods using Python, understanding and dealing with data, and far more.

Machine Learning With Python

About: This tutorial provides a fast introduction to Python and its libraries like NumPy, SciPy, pandas, Matplotlib, and explains how it is often applied to develop machine learning algorithms that solve real-world problems. The tutorial starts with an introduction to machine learning and therefore the Python language and shows you ways to line up Python and its packages. It further covers all important concepts like exploratory data analysis, data preprocessing, feature extraction, data visualization, clustering, classification, regression, and model performance evaluation.

These are the few links for Python courses.

Python for Machine Learning

Numpy Basics For Machine Learning

Finding Actionable Insights using Keras Autoencoders

Thanks for reading!

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