About Machine Learning

Machine learning Course at SFJ business solution is designed to provide basic and the true fundamentals of machines learning with experimental techniques. It is an advanced technology wherein artificial intelligence and computer science coalesce with the development of software and algorithms. Consequently, it is not completely programmed but absolute at prediction based insights into data and trends.

Key Features

  Instructor-led Sessions
  Lifetime Access
  Real-life Case Studies
  24 x 7 Expert Support
  Instructor-led Sessions

Instructor Led Online Training


Start Date: 18 Dec, 2021

Course Duration: 30 Hours

Time: 10:00 AM - 12:00 PM


Instructor Led Classroom Training


Start Date: 21 Dec, 2021

Course Duration: 30 Hours

Time: 08:00 AM - 12:00 PM


Course Curriculum

  • What is Python?
  • Installing Anaconda
  • Understanding the Spyder Integrated Development Environment (IDE)
  • Intro to Numpy Arrays
  • Creating ndarrays
  • Indexing
  • Data Processing using Arrays
  • File Input and Output
  • Getting Started with Pandas
  • Data Acquisition(Import & Export)
  • Indexing
  • Selection and Filtering
  • Sorting & Summarizing
  • Descriptive Statistics
  • Descriptive Statistics
  • Combining and Merging Data Frames
  • Removing Duplicates
  • Discretization and Binning
  • String Manipulation
  • Line Plots
  • Bar Charts
  • Pie Charts
  • Histograms
  • Scatter Plots
  • Parallel Coordinates
  • Intro to Machine Learning
  • Intro to Sklearn Library and Statsmodels
  • Simple Regression Analysis
  • Multiple Regression
  • Lazy Learning Notion
  • Computation of Distance Matrix
  • The Optimum K value
  • Data Transformations as a Pre Processing Phase
  • Model Building on Training Data Set
  • Model Validation on Testing Data Set
  • Evaluation of Model
  • Advantages & Disadvantages of KNN Models
  • Bayesian Theorem
  • Probabilities – The Prior and Posterior Probabilities
  • Conditional and Joint Probabilities Notion
  • Traditional Approach – Extract Important Features
  • Naive Approach – Independence of Features Assumption>
  • Data Processing – Discretization of Features
  • Model Building / Testing / Validation
  • Advantages & Disadvantages of Naïve Bayes Models
  • Understanding SVM
  • Concepts of Linearly seperable vs non seperable data
  • Build the Model
  • Training the Model
  • Testing and Validation
  • Tuning the Model
  • Decision Trees, Bagging
  • Random Forests, Boosted Trees

Course Description

Be it basic or advanced machine learning course, you’ll outshine the crowd and start experimenting. If you ever wanted to take over the world with robot raccoons or expecting payscale between $100k – $150K, this demanding course is for you. Startups, tech giant, Fortune 500 firms and reputed firms are harnessing the power of data using machine learning – and our machine learning certification course has the deep blend of creativity, discovery and business applications that required by all big organizations.

With this, you’ll explore ins and outs of machine learning. However, the market size of machine learning is expected to escalate from $1.03 Billion in 2016 to $8.81 Billion by 2022. On top, the compound annual growth rate ( CAGR) is expected to have 44.1%. Not only this, the report adds its implementation and application has twice in 2018 and will again jump up by 2020.

  • Business Analysts with well-versed knowledge of data analyzing
  • Programmers, handling programming techniques
  • Data Analyst with skills on data extraction and data wrangling
  • Managers interested in the latest business analytics paradigm
  • Data analyst professionals employing data to make a business decision

Machine Learning with Python Training does not require any mandatory skills. However, following prerequisites will helpful to understand bit quicker.

  • Knowledge on python
  • Data Analysis Practice with any tool

Our blockchain online course will make you learn the core fundamentals of blockchain technology and demonstrate how it adds value to your existing job or business model.

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SFJBS Training instructors are highly qualified industrial experienced trainers more than 12+ years of experience; SFJ Business Solutions Training will review each trainer in 360 degree.
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