Python for Data Science with Sam Faraday

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 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

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

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 bners 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 ConceptsLearn how to work with WGET to filesLinux basic files and folders operations like listing, naming e moving filesUsing NumPy with Python for Data Transformation and Processing SpeedUsing 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 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 pickleWorking with Matplotlib for Data VisualizationsNo previous computer development experience is required.This is a must have skill before you jump into advanced Machine Learning techiniques

Anyone curious about Data Science

Developer preparing for Tensoflow Developer Certificate

Business People who need to Analyse and Forecast Data

Bner Python Developer

Advanced Python Uses looking to improve their Deep Learning Skills

HomePage:

https://anonymz.com/?https://www.udemy.com/course/python-for-data-science-with-sam-faraday/