In this course we are going to look at NLP (natural language processing) with deep learning . Previously, you learned about some of the basics, like how many NLP problems are just regular machine learning and data science problems in disguise, and simple, practical methods like bag-of-words and term-document matrices. These allowed us to do some pretty cool things, like detect spam emails, write poetry , spin articles , and group together similar words. In this course I’m going to show you how to do even more awesome things. We’ll learn not just 1, but 4 new architectures in this course. First up is word2vec . In this course, I’m going to show you exactly how word2vec works, from theory to implementation, and you’ll see that it’s merely the application of skills you already know. Word2vec is interesting because it magically maps words to a vector space where you can find analogies, like: king - man = queen - woman France - Paris = England - London December - Novemeber = July - June For those beginners who find algorithms tough and just want to use a library, we will demonstrate the use of the Gensim library to obtain pre-trained word vectors, compute similarities and analogies, and apply those word vectors to build text classifiers. We are also going to look at the GloVe method, which also finds word vectors, but uses a technique called matrix factorization , which is a popular algorithm for recommender systems . Amazingly, the word vectors produced by GLoVe are just as good as the ones produced by word2vec, and it’s way easier to train. We will also look at some classical NLP problems, like parts-of-speech tagging and named entity recognition , and use recurrent neural networks to solve them. You’ll see that just about any problem can be solved using neural networks, but you’ll also learn the dangers of having too much complexity. Lastly, you’ll learn about recursive neural networks , which finally help us solve the problem of negation in sentiment analysis . Recursive neural networks exploit the fact that sentences have a tree structure, and we can finally get away from naively using bag-of-words. All of the materials required for this course can be downloaded and installed for FREE. We will do most of our work in Numpy, Matplotlib , and Theano . I am always available to answer your questions and help you along your data science journey. This course focuses on " how to build and understand ", not just "how to use". Anyone can learn to use an API in 15 minutes after reading some documentation. It's not about "remembering facts", it's about "seeing for yourself" via experimentation . It will teach you how to visualize what's happening in the model internally. If you want more than just a superficial look at machine learning models, 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 (taking derivatives) matrix addition, multiplication probability (conditional and joint distributions) Python coding: if/else, loops, lists, dicts, sets Numpy coding: matrix and vector operations, loading a CSV file neural networks and backpropagation, be able to derive and code gradient descent algorithms on your own Can write a feedforward neural network in Theano or TensorFlow Can write a recurrent neural network / LSTM / GRU in Theano or TensorFlow from basic primitives, especially the scan function Helpful to have experience with tree algorithms 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)

Become a Python Programmer and learn one of employer's most requested skills of 2021! This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. With over 100 lectures and more than 21 hours of video this comprehensive course leaves no stone unturned! This course includes quizzes, tests, coding exercises and homework assignments as well as 3 major projects to create a Python project portfolio! Learn how to use Python for real-world tasks, such as working with PDF Files, sending emails, reading Excel files, Scraping websites for informations, working with image files, and much more! This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you! We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered. We cover a wide variety of topics, including: Command Line Basics Installing Python Running Python Code Strings Lists Dictionaries Tuples Sets Number Data Types Print Formatting Functions Scope args/kwargs Built-in Functions Debugging and Error Handling Modules External Modules Object Oriented Programming Inheritance Polymorphism File I/O Advanced Methods Unit Tests and much more! You will get lifetime access to over 100 lectures plus corresponding Notebooks for the lectures! This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course! So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Python is the chosen language to learn programming for obvious reasons: Python is easy to master It is easy to solve complex problems in an elegant manner ...and it is a used by many professionals in most professions Why learn programming in Python? Almost any job needs some kind of programming skills. You can automate the things that you repeat again and again to get more free time. Done right, it is easy to start programming. While Python is easy to master - it is not easy to get started. Why most courses makes it difficult for you to master Python? Firstly, most Python programming courses focus on covering as much as possible . That leaves the student with an overload of information, which makes it close to impossible to remember it all. This leaves the student unable to make any valuable projects after completion. This course focuses on covering a small basis that will give you the full power in Python. This way is the most effective way to master something new. Get an in-depth understanding of the basis and solve valuable problems with that basis. Extending that to more complex problems will be easy afterward. Secondly, most Python programming curses use scripting interpreters, like JuPyter notebook. They are designed to make interaction easy, but leaves the student unable to solve more than scripting challenges with Python. If you want to go beyond that and make real programs, then you should start in a real development environment, an IDE, Integrated Development Environment. This course teaches you to use PyCharm, which is the most used professional IDE for Python. It makes the software development process easy, and will a be valuable investment in the long run. It is not difficult and the power gained is far beyond what scripting interpreters can provide you. Thirdly, most Python programming courses focuses too little on actual programming. It is always easier to watch someone do some coding than to do it yourself. Unfortunately, this is not the best way to learn things. Even though students often think something is trivial to do, it is often not the case when they try it. Details are first learned when you do the programming yourself. This course focuses on letting the student make all the coding immediately after the instructor. This way the concepts taught are immediately applied. This is the best learning you can get. Keep the learning cycles small. Concepts introduced and showed by instructor, then immediately applied by the students. The best way to learn Python is by programming. This course will teach you the basic principles to master the language. You want to program to solve problems or automate work for you. You need to understand the basic building blocks to achieve that. You want to minimise that set of building blocks to get started with your goal. This course is optimised to focus on what is needed to be a proficient programmer to get started on your journey to become a highly skilled programmer that can solve anything in Python. To optimise your learning the course is structured in small learning cycles. Each concepts and building block is taught one at the time. Then we write the code together. Then you will get an exercise to do the same to ensure your understand it. Programming is the best way to learn Python. You will not learn Python without typing in the code yourself. You don't expect to learn how to ride a bicycle by watching videos of others explaining how they master to bike. No, it takes practice. If you want to become a good programmer you need to have some basic understanding of the underlying programming concepts. The more programming concepts you understand, the more problems you can solve in Python . But you want to optimise the start of your journey to only focus on the necessities. In this course we will cover some essential types, program flows, loops and managing files in an straight forward and easy to understand way . You will be learning along the way and implement the various steps along the way. This course covers the following. Simple types in Python: integers, floats and strings. Lists in Pyton. Program flow with conditions. How the programs decided what to do based on conditions. Loops. How to repeat tasks. Iterating over lists. For-loops. While-loops. How to structure and reuse code by defining functions. Reading content from files. Interpreting content from files. Writing to files. Processing files. How to develop in a professional integrated development environment (PyCharm) How to use PyCharm. Debugging. How to share your code between files. How to master the Python dictionaries to make simple adaptable code for statistics. How to easy create interesting statistics from CSV files. How to master CSV files and making plots on maps showing where the shooting incident are in NY. Also where to get more data to play with for your own project - basically get you started plotting and analyzing awesome data available online. The course is structures in an easy understandable way. Each concept is explained. Then it is shown how to implement it. Finally, you are asked to implement it in the Udemy framework, that gives you instant feedback of the correctness. What do you get? Life time access to the content. More that 6 hours of video tutorials in over 80 lectures. Over 50 programming exercises. Who is this course for? You are new to programming, or You have programmed in another language, but want to learn Python, or You have taken other Python courses, but still do not feel comfortable about programming on your own. If something in the course is not clear the instructor will reply any question within one day, and in most cases within an hour. It is the highest priority to give you the best learning experience. The course has a 30 day money back guarantee that ensures if you are not satisfied, you will get your money back. Also, feel free to contact me directly if you have any questions.

Why you should consider the FIRST LEAN SIX SIGMA GREEN BELT CERTIFICATION COURSE USING PYTHON? There is no need to emphasize the importance of Data Science or Lean Six Sigma in today's Job Market Python is the most popular and trending tool for Data Science now Lean Six Sigma involves a lot of Data Analysis & Statistical Discovery Traditionally Lean Six Sigma Data Analysis uses Minitab & Excel IN CURRENT SCENARIO, if you are NOT learning Lean Six Sigma Green Belt Data Analysis using Python, it's obvious what you are missing! GET THE BEST OF LEAN SIX SIGMA GREEN BELT CERTIFICATION & DATA SCIENCE WITH PYTHON IN ONE COURSE & AT ONE SHOT What to Expect in this Course? Prepare for ASQ / IASSC CSSGB Certification 176 Lectures / 17 Hours of Content Data Analysis in Python with Step by Step Procedure for All Six Sigma Analysis - No Programming Experience Needed Data Manupulation in Python Descriptive Statistics Histogram, Distribution Curve, Confidence levels Boxplot Stem & Leaf Plot Scatter Plot Heat Map Pearson’s Correlation Multiple Linear Regression ANOVA T-tests – 1t, 2t and Paired t Proportions Test - 1P, 2P Chi-square Test SPC (Control Charts - mR, XbarR, XbarS, NP, P, C, U charts) Python Packages - Numpy, Pandas, Matplotlib, Seaborn, Statsmodels, Scipy, PySPC, Stemgraphic Full Fledged Lean Six Sigma Case Study with Solutions (in Python Scripts) More than 100 Resources to Download (including Python Source Files for all the analysis Practice questions - 19 Crossword puzzle questions on various six sigma topics included

Welcome this comprehensive Python certification exam. This exam assumes that you have prior knowledge in Python programming and be able to code in python and having clear concept. This course is highly practical but it won't neglect the theory. we'll cover basics, understand the complete concept of environment , variables , loops , conditions , tuples , sets, structure , dictionary and more good concept of python. The Python exam will be taken over the Internet, at any time and from any location. this exam boost your knowledge and gives u a  new dimension of logical thinking and improving programming concept. The first  exam consists of 50 multiple choice or true/false questions. The exam is time-limited to 40 minutes. Candidates must have 75% correct answers to just pass the exam. Candidates who have more than 95% correct answers to show excellency in exam. The second  exam consists of 70 multiple choice or true/false questions. The exam is time-limited to 60 minutes. Candidates must have 75% correct answers to just pass the exam. Candidates who have more than 95% correct answers to show excellency in exam. Immediately after completing the exam, you will be informed of your score and of your pass/fail status. If you fail, or want to improve your score, you can take the exam one more time.

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.