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- Data Science and Machine Learning with Python and Tensorflow
- 59 sections • 423 lectures • 114h 32m total length
- 2019-08 | e-Learning | English | HTML, MP4, ZIP | 64.64 GB
- Create Apps using Machine learning and Data Science to Create Visual Diagrams and graphic bars with Python!
- DOWNLOAD:
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- -------------------------
- What you'll learn
- - Create apps with Python
- - Learn Java language fundamentals
- - Read finance data directly from Yahoo
- - Train and test a model and use it for future predictions
- - Customise our graphs with visuals, a title, labels, text and a legend
- - Understand basic 3D plotting
- - Build apps, learn PyCharm, Android Studio, Machine Learning, TensorFlow models, TensorBoard, and so much more in this epic artificial intelligence course
- Requirements
- - Download Anaconda 4.2.0, the free data science platform by Continuum, which contains Python 3.5.2 and Matplotlib.
- - Otherwise, you can download and install Python 3.5.2 and Matplotlib for free online.
- - Topics involve intermediate math, so familiarity with university-level math is helpful.
- Description
- We at Mammoth Interactive value input from students like you. Feel free to leave us your feedback.
- Machine learning is a way for a program to analyze previous data (or past experiences) to make decisions or predict the future.
- This course was funded through a massively successful Kickstarter campaign.
- We use frameworks like TensorFlow that make it easy to build, train, test, and use machine learning models. TensorFlow makes machine learning so much more accessible to programmers everywhere.
- You can expect a complete and comprehensive course that guides you through the basics, then through some simple models. You will end up with a portfolio of apps driven by machine learning, as well as the know-how to create more and expand upon what we build together.
- Tools, tips, and tricks (with Android support, Python & Java)
- I start by teaching you the basics of the languages, programs, and underlying concepts of machine learning. You will become an expert ready to build your own machine learning-driven mobile apps, which are the future in mobile app development.
- Do you also want to learn how to visualize data? Enroll in this course to learn how to do so directly in code.
- In Part 1, you learn how to use Python, a popular coding language used for websites like YouTube and Instagram. You learn the basics of programming, including topics like variables, functions, and if statements. You learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output.
- We apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional Blackjack game! You learn how to solve errors that can occur when you work as a programmer.
- In Part 2, you take your Python knowledge and apply it to Matplotlib. We go over many cool features of Matplotlib that we can use for data visualization. We show you how to make line plots, scatter plots, candlestick plots. You learn how to customize the visuals of your graph and to add text and annotate graphs. And much more!
- Why choose Mammoth Interactive?
- We prioritize learning by doing. We blend theory with practical projects to ensure you get a hands-on experience by building projects alongside your instructor. Our experienced instructors know how to explain topics clearly at a logical pace. Check out our huge catalog of courses for more content.
- Also now included in these bundles are our extra courses. If you want to learn to use other programs such as Camtasia or Sketch, you get more content than what you paid for this way!
- We really hope you decide to purchase this course and take your knowledge to the next level. Let's get started.
- Enroll now to join the Mammoth community!
- Who this course is for:
- - People who want to learn machine learning concepts through practical projects with PyCharm, Python, Android Studio, Java, and TensorFlow
- - Absolute beginners who want to learn to code for the web in the popular Python programming language and use data science to make graphs.
- - Anyone who wants to learn the technology that is shaping how we interact with the world around us
- - Anyone who wants to use data for prediction, recognition, and classification
- - Experienced programmers who want to learn a 2D plotting library for Python.
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