Learn Python, Keras & Pandas: Deep Learning & Data Analysis

Course details

An Epic Keras and Pandas Data Science Course!

Welcome to this epic masterclass on Keras (and so much more) with our #1 data scientist and app developer Nimish Narang, creator of over 20 Mammoth Interactive courses and a top-seller on Udemy.

This course was funded by a #1 Kickstarter project

Anyone can take this course. No experience is required. If you already have experience using PyCharm and running Python files and programs on the interface, you can simply skip ahead to whatever section best suits your needs.

Or, you can follow the progression of this curated course especially designed to take any beginner off the street and make them a data modeler.

Python Coding for Beginners

• Use PyCharm and run Python files and programs on the interface

• Brush up on the fundamentals and fix bad coding habits in the #1 Python programming language

Step by Step Challenges and Advancing Topics

You will learn how to use machine learning and neural networks with core concepts and examples. You'll also gain a solid grasp of using convolutions!

Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses:

• Crack Pandas and NumPy: Python Data Science Made Easy

• Read, write, and analyze data with pandas & Python!

• Learn Python Data Analysis with Pandas and Make a Unity Game

• The Deep Learning Masterclass: Classify Images with Keras

Learn to UseKeras and TensorFlow

• Learn to use the Keras API and Syntax

• Get to know TensorFlow, the open source machine learning framework for everyone

Build Dataset Models and Exampels

• Explore the CIFAR10 image dataset

• Build an image classifier model from scratch

• Classify images by training a model

We're going to have a lot of fun, and you'll have complete projects to put on your resume immediately.

Become a Data Analyst

• You will also learn how to apply the Python programming languageto thepandas framework.

• You will learnhow to create and expand a dataframe.

• You get values from data and how to handle NaN values.

• You read and write data from and to the comma-separated values (CSV) file format.

• Get all source files for your quick reference

By the end of this course you will be able to usedifferent approaches to analyzedata.

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