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Catalog / All levels / The Complete Python and TensorFlow Data Science Course
Mammoth Club All levels 8 sections 86 lectures

The Complete Python and TensorFlow Data Science Course

This is the ultimate Python course for image recognition, data analysis, data visualization and more.

Created by John Bura
01
Skill level
All levels
02
Sections
8
03
Lectures
86
04
Instructor
John Bura
What's inside

This course includes.

✓
8
Sections
✓
86
Lectures
✓
86
Resources
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
Unlock all courses with our Subscription Bundle! Get unlimited access to entire course library, books and assets. Learn more and subscribe today!
Course content

Curriculum & lectures.

5 sections · 62 lectures
+ Complete Beginners Data Analysis with Pandas 17 lectures
00. Panda Course Introduction Locked
01. Intro To Pandas Locked
02. Installing Pandas Locked
03. Creating Pandas Series Locked
04. Date Ranges Locked
05. Getting Elements From Series Locked
06. Getting Properties Of Series Locked
07. Modifying Series Locked
08. Operations On Series Locked
09. Creating Pandas Dataframes Locked
10. Getting Elements From Dataframes Locked
11. Getting Properties From Dataframes Locked
12. Dataframe Modification Locked
13. Dataframe Operations Locked
14 Dataframe Comparisons And Iteration Locked
15. Reading Csvs Locked
16. Summary And Outro Locked
+ Pyplot 12 lectures
00. Course Intro Locked
01. Intro To Pyplot Locked
02. Installing Matplotlib Locked
03. Basic Line Plot Locked
04. Customizing Graphs Locked
05. Plotting Multiple Datasets Locked
06. Bar Chart Locked
07. Pie Chart Locked
08. Histogram Locked
09. 3D Plotting Locked
10. Course Outro Locked
Pyplot Code Locked
+ Machine Learning Theory 11 lectures
00. Course Intro Locked
01. Quick Intro To Machine Learning Locked
02. Deep Dive Into Machine Learning Locked
03. Problems Solved With Machine Learning Part 1 Locked
04. Problems Solved With Machine Learning Part 2 Locked
05. Types Of Machine Learning Locked
06. How Machine Learning Works Locked
07. Common Machine Learning Structures Locked
08. Steps To Build A Machine Learning Program Locked
09. Summary And Outro Locked
Intro to Machine Learning Slides Locked
+ Intro to Tensorflow 11 lectures
00. Course Intro Locked
01. Intro To Tensorflow Locked
02. Installing Tensorflow Locked
03. Intro To Linear Regression Locked
04. Linear Regression Model - Creating Dataset Locked
05. Linear Regression Model - Building The Model Locked
06. Linear Regression Model - Creating A Loss Function Locked
07. Linear Regression Model - Training The Model Locked
08. Linear Regression Model - Testing The Model Locked
09. Summary And Outro Locked
Intro to Tensorflow - Source Files Locked
+ Images Recognition with MNIST 11 lectures
00. Course Intro Locked
01. Intro To Image Recognition-1 Locked
02. Intro To Mnist Locked
03. Building A Cnn Part 1 - Obtaining Data Locked
04. Building A Cnn Part 2 - Building The Model Locked
05. Building A Cnn Part 3 - Adding Loss And Optimizer Functions Locked
06. Building A Cnn Part 4 - Train And Test Functions Locked
07. Building A Cnn Part 5 - Train And Test The Model Locked
08. Mnist Image Recognition With Keras Sequential Model Locked
09. Summary And Outro Locked
Source Files Locked
Description

About this course.

Don't miss the biggest Python course of the year. This is a once in a lifetime chance to enroll in a massive course at a slashed price.

Absolutely no experience necessary. Start with a complete introduction to Python that is perfect for absolute beginners and can also be used a review.

Jump into using the most popular libraries and frameworks for working with Python. You'll learn everything you need to become a data scientist. This includes:

1. Data Analysis with Pandas

Learn pandas, a software library written for the Python programming language for data manipulation and analysis.

2. Data Visualization with PyPlot

Learn pyplot, a MATLAB-like plotting framework enabling you to create a figure, create a plotting area in a figure, plot lines in a plotting area, decorate the plot with labels and much more. Learn it all in this massive course.

3. Machine Learning Theory

Machine learning is in high demand and is quickly becoming a requirement on every software engineer's resume. Learn how to solve problems with machine learning before diving into practical examples.

4. Introduction to TensorFlow

Learn TensorFlow, the most popular plaform enabling ML developers to build and deploy machine learning applications such as neural networks. Build your first linear regression model with TensorFlow. Learn how to buidl a dataset, model, train and test!

5. Image Recognition with MNIST

Build a convolutional neural network (CNN.) Learn how to use Keras with machine learning models.

Keras is a neural-network library written in Python capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, and PlaidML. You'll be able to enable fast experimentation with deep neural networks with Keras.

All source code is included for each project.

If you buy one course this year, this is it. Sign up while spots are open.

Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

Bundled items.

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This is the ultimate Python course for image recognition, data analysis, data visualization and more.

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