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Autor Tópico: Python Programming with Machine Learning & Deep Learning  (Lida 210 vezes)

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Python Programming with Machine Learning & Deep Learning
« em: 23 de Abril de 2020, 08:41 »

Python Programming with Machine Learning & Deep Learning
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 426 MB
Genre: eLearning Video | Duration: 13 lectures (1 hour, 27 mins) | Language: English

Learn Python like a Professional! Complete hands-on Machine learning with Pandas, Numpy and more

What you'll learn

    Learn to use Python professionally, learning both Python 2 and Python 3!
    Learn advanced Python features
    Understand how to use both the Jupyter Notebook
    Build a complete understanding of Python from the ground up!
    Learn Python Libraries like Numpy, Pandas, Scikit Learn, Scipy and Seaborn
    Make predictions using linear regression, polynomial regression, and multivariate regression
    Data Visualization with MatDescriptionLib and Seaborn
    Data wrangling
    Classify images, data, and sentiments using deep learning

Requirements

    Access to a computer with an internet connection.

Description

Become a Python Programmer and learn one of employer's most requested skills of 2020!

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.This course will teach you Python in a practical manner, with every lecture comes a full coding screencast.

We cover a wide variety of topics, including:

    Installing Python

    Running Python Code

    Strings

    Lists

    Dictionaries

    Tuples

    Sets

    Number Data Types

    Functions

    Debugging and Error Handling

    Deep Learning / Neural Networks (MLP's, CNN's, RNN's) with TensorFlow and Keras

    Data Visualization in Python with MatDescriptionLib and Seaborn

    Image recognition and classification

    Regression analysis

    K-Means Clustering

    Train/Test and cross validation

    Multiple Regression

    Support Vector Machines

    Collaborative Filtering

    K-Nearest Neighbor

    and much more!

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!

Who this course is for:

    Beginners who have never programmed before.
    Programmers switching languages to Python.
    Software developers or programmers who want to transition into the lucrative machine learning career path will learn a lot from this course.
    Technologists curious about how deep learning really works
   

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