Complete Python Machine Learning and Classification Projects
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 6.18 GB
Genre: eLearning Video | Duration: 106 lectures (16 hour, 30 mins) | Language: English
Master Machine Learning, PyDescription, NumPy, Pandas, Data Science, Iris Speciation with TensorFlow & Land a High Paying Job

What you'll learn

    Graph data with PyDescription
    Build 3D graphs with PyDescription
    Customize graphs
    Use TensorFlow to build a program to categorize irises into different species.
    Build a classification model
    Implement logic
    Track data
    Implement responsiveness
    Replace Python lists with NumPy arrays
    Build data structures
    Build and use NumPy arrays
    Use Pandas series
    Use common array functions
    Use Pandas Date Ranges
    Read CSVs with Pandas
    Use Pandas DataFrames
    Get elements from a Series
    Get properties from a series
    Series operations
    Modify series
    Series comparisons and iteration
    Series operations
    And much more!

Requirements

    No experience necessary
    No OS requirement but the tutorials are recorded on a Mac with Google Colab

Description

Machine learning allows you to build more powerful, more accurate and more user friendly software that can better respond and adapt.

Many companies are integrating machine learning or have already done so, including the biggest Google, Facebook, Netflix, and Amazon.

There are many high paying machine learning jobs.

Jump into this fun and exciting course to land your next interesting and high paying job with the projects you'll build and problems you'll learn how to solve.

In just a matter of hours you'll have new skills with projects to back them up:

    Deep dive into machine learning

    Problems that machine learning solves

    Types of machine learning

    Common machine learning structures

    Steps to building a machine learning model

    Build a linear regression machine learning model with TensorFlow

    Test and train the model

    Python variables and operators

    Collection types

    Conditionals and loops

    Functions

    Classes and objects

    Install and import NumPy

    Build NumPy arrays

    Multidimensional NumPy arrays

    Array indexes and properties

    NumPy functions

    NumPy operations

    And much more!

Add new skills to your resume in this project based course:

    Graph data with PyDescription

    Customize graphs

    Build 3D graphs with PyDescription

    Use TensorFlow to build a program to categorize irises into different species.

    Build a classification model

    Track data

    Implement logic

    Implement responsiveness

    Build data structures

    Replace Python lists with NumPy arrays

    Build and use NumPy arrays

    Use common array functions

    Use Pandas series

    Use Pandas Date Ranges

    Use Pandas DataFrames

    Read CSVs with Pandas

    Install and import Pandas

    Build Pandas Series and DataFrames

    Get elements from a Series

    Get properties from a series

    Modify series

    Series operations

    Series comparisons and iteration

    And much more!

Machine learning is quickly becoming a required skill for every software developer.

Enroll now to learn everything you need to know to get up to speed, whether you're a developer or aspiring data scientist. This is the course for you.

Your complete Python course for image recognition, data analysis, data visualization and more.

Reviews On Our Python Courses:

    "I know enough Python to be dangerous. Most of the ML classes are so abstract and theoretical that no learning happens. This is the first class where we use concrete examples that I can relate to and allow me to learn. Absolutely love this course!" - Mary T.

    "Yes, this is an amazing start. For someone new in python this is a very simple boot course. I am able to relate to my earlier programming experience with ease!" - Gajendran C.

    "Clear and concise information" - Paul B.

    "Easy to understand and very clear explanations. So far so good!!!" - Alejandro M.

All source code is included for each project.

Don't miss out! Sign up to join the community.

Who this course is for:

    Anyone who needs to learn classification
    Anyone who needs to learn Python
                                                                                                                                                                                                           Anyone who needs to graph with Python
    Anyone who needs to know more about machine learning
    Anyone who wants to use efficient arrays
    Anyone who needs an efficient way to analyze data
    Anyone with little to no knowledge of machine learning
    Anyone with little to no programming experience
    Anyone with no Python experience

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