Learn Python Programming by doing! There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different! This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward. After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples. This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises. In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course! I can't wait to see you in class, Sincerely, Kirill Eremenko

Artificial Intelligence is one of the hottest fields in computer science right now and has taken the world by storm as a major field of research and development. Python has surfaced as a dominant language in AI/ML programming because of its simplicity and flexibility, as well as its great support for open source libraries such as Scikit-learn, Keras, spaCy, and TensorFlow. If you're a Python developer who wants to take first steps in the world of artificial intelligent solutions using easy-to-follow projects, then go for this learning path. This comprehensive 2-in-1 course is designed to teach you the fundamentals of deep learning and use them to build intelligent systems. You will solve real-world problems such as face detection, handwriting recognition, and more. You will also get an exposure to hands-on projects that will help you explore the world of artificial intelligence with Python. You will get well-versed with AI concepts that gets you up and running with AI in no time. This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Python Artificial Intelligence Projects for Beginners , covers Hands-on Python recipes that implement practical examples to help you build artificial intelligence applications with eight realistic projects. You will start with the first project which covers decision trees for classifying data using Scikit-learn libraries. You will then build a classifier using random forests. You will also learn about text processing techniques and practice with bag-of-words and word2vec models. The second course, Advanced Artificial Intelligence Projects with Python , covers intelligent application projects with artificial intelligence using the Python programming language. The very first project introduces you to natural language processing including part-of-speech tagging and named entity extraction. The next project introduces genetic algorithms wherein DEAP library is used. In this project, a music data set is used in a genetic algorithm that generates a music playlist satisfying multiple criteria such as song similarity and playlist length. The last project introduces reinforcement learning and deep reinforcement learning wherein you will use OpenAI Gym platform and Q-learning algorithm to build a game-playing AI. By the end of this Learning Path, you will be confident to build your own AI projects with Python, with a useful blend of ideas to sharpen your skills in artificial intelligence. Meet Your Expert(s): We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: ● Joshua Eckroth is an Assistant Professor of Computer Science at Stetson University, where he teaches Big Data Mining and Analytics, artificial intelligence (AI), and Software Engineering. Dr. Eckroth joined the Math and Computer Science Department at Stetson University in Fall 2014. He earned his PhD from Ohio State University in the areas of AI and cognitive science, focusing on abductive reasoning and metareasoning. He is an active researcher with numerous refereed publications in the fields of artificial intelligence and computer science education. Dr. Eckroth also serves as Chief Architect at i2k Connect, LLC., whose mission is to revolutionize the ability of companies to find, filter, and analyze data in documents by extracting essential information from data clutter. In addition, Dr. Eckroth is co-editor of AITopics, the Internet's largest collection of information about the research, the people, and the applications of artificial intelligence.

In early 2016, Python passed Java as the #1 beginners language in the world. Why? It's because it's simple enough for beginners yet advanced enough for the pros. SpaceX uses it to launch Rockets Pixar uses Python to run their animation software Instagram & Pinterest use it to run their web application (backend via Django) Come learn with me and I'll show you how you can bend Python to your will. This course is great for beginners in Python at any age and any level of computer literacy. The goal is simple: learn Python by building real projects step-by-step while we explain every concept along the way.  For the next 30 Days you're going to learn how to: Scrape Data from nearly Any Website (including javascript-enabled sites) Build your own Python applications for all types of automation Send Emails & SMS text messages to your friends our your customers Read & Write CSV, aka comma separated values, files to better store your data locally and work in popular programs like Microsoft Excel and Apple Numbers Understand the basics behind the Python programming language so you're ready to build more advanced projects like Web Applications

When people talk about artificial intelligence , they usually don’t mean supervised and unsupervised machine learning . These tasks are pretty trivial compared to what we think of AIs doing - playing chess and Go, driving cars, and beating video games at a superhuman level. Reinforcement learning has recently become popular for doing all of that and more. Much like deep learning , a lot of the theory was discovered in the 70s and 80s but it hasn’t been until recently that we’ve been able to observe first hand the amazing results that are possible. In 2016 we saw Google’s AlphaGo beat the world Champion in Go. We saw AIs playing video games like Doom and Super Mario. Self-driving cars have started driving on real roads with other drivers and even carrying passengers ( Uber ), all without human assistance. If that sounds amazing, brace yourself for the future because the law of accelerating returns dictates that this progress is only going to continue to increase exponentially. Learning about supervised and unsupervised machine learning is no small feat. To date I have over TWENTY FIVE (25!) courses just on those topics alone. And yet reinforcement learning opens up a whole new world. As you’ll learn in this course, the reinforcement learning paradigm is very from both supervised and unsupervised learning. It’s led to new and amazing insights both in behavioral psychology and neuroscience. As you’ll learn in this course, there are many analogous processes when it comes to teaching an agent and teaching an animal or even a human. It’s the closest thing we have so far to a true artificial general intelligence.  What’s covered in this course? The multi-armed bandit problem and the explore-exploit dilemma Ways to calculate means and moving averages and their relationship to stochastic gradient descent Markov Decision Processes (MDPs) Dynamic Programming Monte Carlo Temporal Difference (TD) Learning (Q-Learning and SARSA) Approximation Methods (i.e. how to plug in a deep neural network or other differentiable model into your RL algorithm) How to use OpenAI Gym, with zero code changes Project: Apply Q-Learning to build a stock trading bot If you’re ready to take on a brand new challenge, and learn about AI techniques that you’ve never seen before in traditional supervised machine learning, unsupervised machine learning, or even deep learning, then this course is for you. See you in class! "If you can't implement it, you don't understand it" Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand". My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code? After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times... Suggested Prerequisites: Calculus Probability Object-oriented programming Python coding: if/else, loops, lists, dicts, sets Numpy coding: matrix and vector operations Linear regression Gradient descent WHAT ORDER SHOULD I TAKE YOUR COURSES IN?: Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)

Interested in the field of Machine Learning? Then this course is for you! This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way: Part 1 - Data Preprocessing Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification Part 4 - Clustering: K-Means, Hierarchical Clustering Part 5 - Association Rule Learning: Apriori, Eclat Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects. Important updates (June 2020): CODES ALL UP TO DATE DEEP LEARNING CODED IN TENSORFLOW 2.0 TOP GRADIENT BOOSTING MODELS INCLUDING XGBOOST AND EVEN CATBOOST!

If you're an office worker, student, administrator, or just want to become more productive with your computer, programming will allow you write code that can automate tedious tasks. This course follows the popular (and free!) book, Automate the Boring Stuff with Python. Automate the Boring Stuff with Python was written for people who want to get up to speed writing small programs that do practical tasks as soon as possible. You don't need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets stuff done. This course is for complete beginners and covers the popular Python programming language. You'll learn basic concepts as well as: Web scraping Parsing PDFs and Excel spreadsheets Automating the keyboard and mouse Sending emails and texts And several other practical topics By the end of this course, you'll be able to write code that not only dramatically increases your productivity, but also be able to list this fun and creative skill on your resume.

If you want to get started programming in Python , you are going to LOVE this course! This course is designed to fully immerse you in the Python language, so it is great for both beginners and veteran programmers! Learn Python as Nick takes you through the basics of programming, advanced Python concepts, coding a calculator, essential modules, creating a "Final Fantasy-esque" RPG battle script, web scraping, PyMongo, WebPy development, Django web framework, GUI programming, data visualization, machine learning, and much more! We are grateful for the great feedback we have received! "This course it great. Easy to follow and the examples show how powerful python can be for the beginner all the way to the advanced. Even if the RPG may not be your cup of tea it shows you the power of classes, for loops, and others!" "Good course even for non-programmers too." "It's really well explained, clear. Not too slow, not too fast." "Very thorough, quick pace. I'm learning A TON! Thank you :)" "Good explanation, nice and easy to understand. Great audio and video quality. I have been trying to get into Python programming for some time; still a long way to go, but so far so good!" The following topics are covered in this course: Programming Basics Python Fundamentals JavaScript Object Notation (JSON) Web Scraping PyMongo (MongoDB) Web Development Django Web Framework Graphical User Interface (GUI) Programming (PyQt) Data Visualization Machine Learning This course is fully subtitled in English ! Thank you for taking the time to read this and we hope to see you in the course!

Welcome to the Complete Python Course! *** Fully updated for 2020 *** The course covers every major Python topic (including Object-Oriented Programming, Web Scraping, and even GUI development), and now includes even more content...! NEW CONTENT: Control your browser using Selenium, to scrape websites or even fill in forms! Learn to interact with REST APIs and build a currency exchange program Create desktop GUIs using Tkinter, so your users can work with your applications very easily Start working with unit testing in Python by learning about the unittest library We've also completely re-recorded the course's introductory Python material... so it’s even clearer and more straightforward! This course will take you from beginner to expert in Python, easily and smartly. We've crafted every piece of content to be concise and straightforward, while never leaving you confused. This course will dive right into Python and get you productive from the very beginning. This is the best investment you can make in your Python journey. Why Learn Python? Over the last few years, Python has become more and more popular. Demand for Python is booming in the job market and it is a skill that can help you enter some of the most exciting industries , including data science, web applications, home automation and many more. Python is one of the "most loved” and “most wanted” programming languages according to recent industry surveys. If people are not using Python already, they want to start using Python. This course will make it easy for you to learn Python and get ahead of your competition. Why Choose THIS Course? You will: Get a broader and deeper experience in Python than with any other Udemy course on the market. Start at zero and become an expert whilst learning all about the inner workings of Python. Learn how to write professional Python code like a professional Python developer. Develop a long-lasting love for Python and programming by creating good programming habits . Explore the wider possibilities of what you can do with Python, including databases, web development and web scraping . Become job-ready by learning about best practices, Selenium, unit testing, and all of the major Python topics. Who Is This Course For? Beginners who have never programmed before. Programmers with experience in other languages who want to kickstart their Python programming. Programmers who know some Python but want to round off their skills and become truly proficient. What Am I Going to Get From This Course? Lifetime access to over 250 lectures covering all aspects of Python, from the foundations to advanced concepts. An interactive screencast video from every lecture AND complete, written notes and code for you to read and refer back to you as you progress through the course. Milestone projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply what you've learned. We always go over the code after to show you how we would tackle them. Guidance on common pitfalls and best practices including how to make your code "Pythonic" (looking like professional code), Object-Oriented Programming, database interactions, and more. Quizzes and tests for you to check your understanding. High-quality help and support. In the last year alone we've answered over 3000 student questions. We don’t leave a single question unanswered. You'll have 30 days to change your mind and get your money back, with absolutely no questions asked AND you'll get to keep all the course notes and code as a thank you for trying the course out. Don't Wait! Join the Course and Begin Coding in Python today!

This course is directed at professional Accountants who are already skilled in Microsoft Excel. As such we will often reference how excel works and try to translate that into Python. This course is not designed to teach you everything about Python. The course will skip over many aspects of Python that are not necessary for accountants. If you're looking to geek out on Python and learn every aspect of the language this course is not for you. What this course is: This course will give you the basic to start your journey learning Python. Learning Python will transform you into the most efficient accountant your company has ever seen. This course will teach you critical aspects of Python that accountants need to know without wasting your time. In my journey to learn Python and create this course I've done the following: Spent hundreds of hours going through tutorials where only 15% of the information was relevant to accountant Spent thousands of dollars paying full blown software engineers to tutor me where every tutorial fell short Painstakingly failed countless number of times before finding the "right" way to do almost every accounting tasks Spent all my nights and weekends for months compiling everything I've learned Wrote and rewrote every lesson until I felt they had everything you need without wasting time on things you don't Now you can learn python in a relevant way that impacts your job performance faster.

Learn Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Python Professional can earn minimum $100000 (that's five zeros after 1) in today's economy. This is the most comprehensive, yet straight-forward course for the Python 3 on Udemy! Whether you have never worked with Python before, already know basics of Python, or want to learn the advanced features of Python 3, this course is for you! In this course we will teach you Python 3, Jupyter, pillow, turtle, and pygame. (Note, we also provide you PDFs, Python 3 code files, and Jupyter Notebooks in case you need them) With over 50 lectures and more than 6.5 hours of video this comprehensive course leaves no stone unturned in teaching youPython 3, Pandas with pygame, turtle, and pillow! This course will teach you Python 3 in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you! We will start by helping you get Python3 and other libraries installed on your Windows computer and Raspberry Pi. We cover a wide variety of topics, including: Installation of Python 3 on Windows Setting up Raspberry Pi Tour of Python 3 environment on Raspberry Pi Jupyter installation and basics turtle programming with recursion Image processing with Pillow Game programming with pygame GUI with Tkinter Text based adventure game programming You will get lifetime access to over 50 lectures plus corresponding PDFs, Image Datasets, and the Jupyter notebooks for the lectures! So what are you waiting for? Learn Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!