Build RealWorld MachineLearning Projects With Python In 2023

Last updated 12/2022Duration: 1h 39m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.04 GBGenre: eLearning | Language: English[Auto]


 

Learn to create Classical Machine learning Learning Algorithms in Python

What you'll learn

Learn to perform Classification and Regression modelling

Master Machine Learning and use it on the job

Use Seaborn to create beautiful statistical plots with Python.

Get set-up quickly with the Anaconda data science stack environment.

Requirements

There is no specific prerequisite to learn machine learning. But you need to be from eeering/science/Maths/Stats background to understand the theory and the techniques used. You need to be good in mathematics. If you are not, still you can machine learning, but you will face difficulty when solving complex real world problems. Many say you need to know Linear algebra, Calculus etc. etc. but I never learnt it, yet I am able to work on machine learning.

Description

In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku).

Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights which analysts and business users can translate into tangible business value.

More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.

In This Course, We Are Going To Work On 2 Real World Projects Listed Below

Project-1: Toxic Comment Classification

Project-2: UK_Road_Accident_series_Forecasting

The Only Course You Need To Become A Data Scientist, Get Hired And Start A New Career

Note (Read This): This Course Is Worth Of Your And Money, Enroll Now Free

Who this course is for

Bners in machine learning

Career transition from Non Technical into Data Science

Fresher to get job into Machine Learning Eeer

Bner into Machine Learning

 

 

 


 TO MAC USERS: If RAR password doesn't work, use this archive program: 

RAR Expander 0.8.5 Beta 4  and extract password protected files without error.


 TO WIN USERS: If RAR password doesn't work, use this archive program: 

Latest Winrar  and extract password protected files without error.


 Themelli   |  

Information
Members of Guests cannot leave comments.


SermonBox - Seasonal Collection

SermonBox - The Series Pack Collection

Top Rated News

  • Christmas Material
  • Laser Cut & Print Design Elements Bundle - ETSY
  • Daz3D - All Materials - SKU 37000-37999
  • Cgaxis - All Product - 2019 - All Retail! - UPDATED!!!
  • DigitalXModels Full Collections
  • Rampant Design Tools Full Collections Total: $4400
  • FilmLooks.Com Full Collection
  • All PixelSquid Product
  • The Pixel Lab Collection
  • Envato Elements Full Sources- 3200+ Files
  • Ui8.NET Full Sources
  • The History of The 20th Century
  • The Dover Collections
  • Snake Interiors Collections
  • Inspirational Collections
  • Veer Fancy Collections
  • All Ojo Images
  • All ZZVE Collections
  • All Sozaijiten Collections
  • All Image Broker Collections
  • Shuterstock Bundle Collections
  • Tattoo Collections
  • Blend Images Collections
  • Authors Tuorism Collections
  • Motion Mile - Big Bundle
  • PhotoBacks - All Product - 2018
  • Dekes Techniques - Photoshop & Illustrator Course - 1 to 673
Telegram GFXTRA Group
Udemy - Turkce Gorsel Ogrenme Setleri - Part 2
Videohive Wow Pack Series


rss