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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 24 lectures (3h 57m) | Size: 1.87 GB
Master AI , Data Analytics , Machine Learning & Data Sceince by solving Real-Life Analytics Problems using Python !
What you'll learn
Go from zero to hero in Entire Pipeline of AI/Data Science/Machine learning from Data Collection to building a Machine Learning Model
Various Feature Engineering Techniques & how to apply it in Real-World
How to Approach a problem in Real-world..
Solve any problem in your business, job or in real-time with powerful Data Sceince & Machine Learning algorithms
Case studies
Requirements
Basic knowledge of Python programming is recommended.
Description
This is the first course that gives hands-on Data Science, Analytics & AI Real world Projects using Python..
This is a practical course, the course I wish I had when I first started learning Data Science.
It focuses on understanding all the basic theory and programming skills required as a Data Scientist, but the best part is that it has Practical Case Studies covering so many common business problems faced by Data Scientists in the real world.
This course will cover the following topics:-
All basic stuffs of Python
Loops and conditionals
Functions
Working with Text data using Regular expressions
Numpy ,seaborn, matplotlib ,plotly and pandas library
Some Other fancy libraries like- fuzzywuzzy
Along with python programming, this course will cover other data analytics concepts such as
Data Visualization
Data cleaning
Query Analysis
Data Exploration
Statistics and Probability concepts
Feature Engineering
Featurization
Natural Language Processing
Machine Learning
Model Hypertuning
"Data Scientist has become the top job in the US for the last 4 years running!" according to Harvard Business Review & Glassdoor.
This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of Data Science , Machine Learning , Data analysis ,, Natural Language Processing to real-world business problems.
Who this course is for
Beginners of Data Science
Data Analysts / Business Analysts who wish to do more with their data
College graduates who lack real world experience
Software Developers or Engineers who'd like to start learning Data Science
Anyone looking to become more employable as a Data Scientist
Anyone with an interest in using Data to Solve Real World Problems
Who this course is for
Data Scientists who want to apply their knowledge on Real World Case Studies
