Python for Data Science with Sam Faraday

Python for Data Science with Sam Faraday
What you'll learn
Use Python for Data Science and Deep Learning
Exploratory Data Analysis
Data Visualization
Artificial Intelligence
Use Deep Neural Network Model Architecture
Use Long-Short Term Memory Model Architecture
Use Convolutional Neural Network Model Architecture
Mixed Deep Neural Network Architectures
How to Classify Texts with NLP - Natural Language Processing
How to Create new Texts with NLP
How to Reconize Emotions in a Text with NLP
How to Forecast Time Series like Wheater , Electricity Consumptions, Revenew
How to Classify Images
How to use Matplotlib to visuallly analyse data
How to use Pandas for Data Visualization and Preprocessing
Requirements
No programming experience needed. You will learn everything you need to know to Master Python and Deep Learning Teachniques
A computer / notebook connected to the Internet
Description
Welcome to this Course. The path to becoming a Data Scientist , as well as a TensorFlow Certified Developer.

“Data Science is a process, not an event. It is the process of using data to understand different things, to understand the world.” — “Data science is the art of uncovering the insights and trends that are hiding behind data. It's when you translate data into a story. (IBM)

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations,
This course is designed for both complete beginners or experienced developers looking to make the jump to Data Science!
We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Deep Learning with Python / Tensorflow! Please see the main topics covered in this course:
Programming with Python from its Foundational Concepts
Learn how to work with WGET to download files
Linux basic files and folders operations like listing, naming e moving files

Using NumPy with Python for Data Transformation and Processing Speed

Using Pandas Data Frames for Explanatory Data Anaalysis,pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. You are going to lear advaned techiniques to work with index, concatenations, filters, aggregation functions, memory optimization, data frame saving in different files formats like cvs, thml and pickle

Working with Matplotlib for Data Visualizations

No previous computer development experience is required.

This is a must have skill before you jump into advanced Machine Learning techiniques


Who this course is for:
Anyone curious about Data Science
Developer preparing for Tensoflow Developer Certificate
Business People who need to Analyse and Forecast Data
Beginner Python Developer
Advanced Python Uses looking to improve their Deep Learning Skills

More Info