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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