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Advanced Certification in Machine learning


 Beginner

INR 10000/-  INR 1999/-

What You'll Learn

Master Machine Learning on Python
Make accurate predictions
Make powerful analysis
Make robust Machine Learning models
Create strong added value to your business
Build an army of powerful Machine Learning

About

Machine learning is the science of getting computers to act without being explicitly programmed.Many researchers also think it is the best way to make progress towards human-level AI. Machine Learning is everywhere; if you want to know how companies like Google and Amazon extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

In this program, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques. course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control),autonomous vehicles, text understanding, computer vision, medical informatics, database mining, and other areas.

Requirements

  • No coding experience is necessary
  • Any operating system can be used like Mac,Windows and linux
  • Basic understanding of HTML

Course Outline

  • What is Data Science?
  • Prerequisites
  • Applications
  • Objectives
  • Industrial Needs
  • Tool-kits
  • Install Python and Anaconda
  • Installing packages: numpy, pandas, matplotlib, sklearn
  • Basics of Python involved in Data Science
  • Introduction to Python
  • Flow Control (If, for, while) Statements
  • Data Structures (Numbers, Lists, Tuples, Dictionary, Strings)
  • Functions and classes in Python
  • Object oriented programming
  • What is Numpy?
  • Ndarray Object
  • Data Types in Numpy
  • Array Attributes and Manipulation in Numpy
  • Indexing & Slicing
  • Reshaping
  • Iterating Over Array
  • Binary Operators in Numpy
  • Introduction to Pandas
  • Data Structures in Pandas
  • Series and DataFrame in Pandas
  • Basic Functions in Pandas
  • Indexing and Selecting Data
  • Missing Data
  • Groupby
  • Merging/ Joining
  • Concatination
  • 2D Plotting with matplotlib
  • Plotting with keyword strings
  • Plotting with categorical variables
  • Analysing data with seaborn
  • Introduction to Machine Learning
  • How Machine Learns
  • Gradient Descent
  • Cost Function
  • Regularization Techniques
  • Errors
  • Overfitting and Underfitting
  • L1 and L2 Regularization
  • Bias Variance Trade-Off
  • Ordinary Least Squares
  • Mean Squared Error
  • Mean Absolute Error
  • K-Fold Cross Validation
  • ANOVA(Analysis of Variance)
  • Arima(Time Series Analysis)
  • Gradient Descent
  • Stochastic Gradient Descent
  • Dimensionality Reduction
  • Simple Linear Regression
  • Multiple Linear Regression
  • Support Vector Regression
  • Decision Tree Regression
  • Random Forest Regression
  • Support Vector Classification(SVM)
  • K – Nearest Neighbors Algorithm(KNN)
  • Naïve Bayes Classification
  • Decision Tree Classification
  • Random Forest Classification
  • Elbow Method
  • K-means clustering
  • Dendograms
  • Hierarchical clustering
  • Dimensionality Reduction
  • Principle component Analysis
  • Linear Discriminant analysis

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Student feedback

★★★★★
4.5 average based on 2 reviews
Simran kaur
★★★★★ 1 month ago

It was a brilliant course, I really enjoyed it, especially the applied part which was very practical! I recommend it to all who want to build a career in machine learning For me, the trainer was the main star, he did an amazing job doing all the examples and templates, which can be applied to different problems and scenarios outside the course.

Ajay
★★★★ 1 month ago

Great course! The trainer had amazing teaching skills. I recommend this course to anyone who is wants detailed perspective of machine learning.

Course Features

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