Machine Learning for begineers [data science]
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 911 MB | Duration: 2h 7m

Learn and understood Machine Learning's basics with Real life examples,Quizes ,project and Test series What you'll learn
Basics of machine learning on python
Fundamental of machine learning
Learn about different types of Machine Learning Algorithms
Make accurate prediction On different data-sets by using machine learning.
Make powerful analysis
Know which machine learning model to choose for each type of problem
Create Complex Visualization with Matplotlib
Linear Regression,Logistic Regression,knn,Decision tree,Naive Bayes,random Forest

Requirements
A working computer (with Windows)
Basics of python programming
Just some high school mathematics level
Anaconda software
Description
HERE IS WHY YOU SHOULD TAKE THIS COURSE:

This course complete guide you both supervised and unsupervised learning using python.This means,this course covers all the main aspects of practical data science and if you take this course,you can do with taking other courses or buying books on python based data science.

In this age of big data companies across the globe use python to sift through the avalanche of information at their disposal.

By becoming proficient in unsupervised & supervised learning in python you can give your company a competitive edge and boost your career to the next level.

LEARN FROM AN EXPERT DATA SCIENTIST WITH +4 YEARS OF EXPERIENCE:

My Name is Aakash Singh and I had also recently published my RESEARCH PAPER in an INTERNATIONAL JOURNAL IJSR on machinne learning dataset.

This course will give you a robust grounding in the main aspects of machine learning clustering& classification.

NO PRIOR KNOWLEDGE OF MACHINE LEARNING IS REQUIRED:

You will start by absorbing the most valuable python data science basics and techniques.

I use easy to understand,hands on methods to simplify and address even the most difficult conceptsin python.

My course will help you to implements the methods using real data obtained from different sources.

After taking this course, you'll easily use packages like numpy, pandas and matplotlib to work with real data in python.

We'll go through lab section on jupyter notebook terminal. we'll go through lots of real like example for increasing practical side knowledge of the programming and we should not neglect thoery section also, which is essential for this course. By the end of this course you'll be able to code in python languauge and feel confident with machine learning and you will also be able to create your own program and implement where you want.

Most importantly, you'll learn to implement these techniques practicallly using python, you'll have access to all the data and scripts used in this course. remember I'm always around you to support my student.

SIGN UP NOW......

Who this course is for:
Anyone who wants to learn concept of machine learning
Any student in college who want to start career in data science
Any data analysts who want to level up in Machine Learning

https://www.udemy.com/course/machine-learning-for-begineersdata-science/