Machine Learning for begineers [data science]

Learn and understood Machine Learning’s basics with Real life examples,Quizes ,project and Test series

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

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.

Course Content

  • Complete machine learning series –> 1 lecture • 7min.
  • HOW MACHINE LEARNS ? –> 1 lecture • 7min.
  • INSTALLATION OF LAB –> 1 lecture • 3min.
  • INTRODUCTION TO PANDAS –> 1 lecture • 10min.
  • DATA VISUALIZATION –> 1 lecture • 13min.
  • DATA PRE-PROCESSING –> 2 lectures • 10min.
  • LINEAR REGRESSION –> 2 lectures • 9min.
  • LOGISTIC REGRESSION –> 2 lectures • 9min.
  • KNN Algorithm –> 2 lectures • 11min.
  • DECISION TREE –> 2 lectures • 7min.
  • NAIVE BAYES –> 2 lectures • 8min.
  • RANDOM FOREST –> 2 lectures • 5min.
  • PROJECT –> 1 lecture • 30min.
  • TEST SERIES –> 0 lectures • 0min.

Machine Learning for begineers [data science]

Requirements

  • A working computer (with Windows).
  • Basics of python programming.
  • Just some high school mathematics level.
  • Anaconda software.

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……