Machine Learning Course | Machine Learning Using Python by Experts

Machine Learning Course Using Python

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Schedule

Schedule

17th DEC 2018
MON – FRI (5 Days)
07:00 AM – 08:00 AM
Bangalore
₹ 18999
05th JAN 2019
SAT – SUN (5 Weeks)
07:00 AM – 08:00 AM
Bangalore
₹ 18999
17th DEC 2018
MON – FRI (5 Days)
07:00 AM – 08:00 AM
Bangalore
₹ 18999
05th JAN 2019
SAT – SUN (5 Weeks)
07:00 AM – 08:00 AM
Bangalore
₹ 18999

Can't find convenient schedule?

Key Features

Instructor-led Sessions
  • 30 hours online live instructor-Led Classes
  • 10 days Training on Weekends.
  • Support after training for Live Project
  • Training by highly experienced trainers
Real-life Case Studies
Experience the real-life projects on any of the use cases by employing various concepts at SFJ Business Solution.
Assignments
We believe in practical learning – thus every class is aligned with a set of assignment that adds maximum value to your time.
Lifetime Access
Every attendee of the course can access our “advanced learning management system (LMS) which provide a set of presentations, installation guides, quizzes, and class recordings.
24 x 7 Expert Support
We backed by you in every single step – With personalized support crew, we ensureour availability 24/7 to resolve all your queries.
Certification
The best of enrolling with SFJ business is to receive the certified badge for the lifetime.
Pre-recorded video learning
SFJ Business Solution offers an extreme flexibility – you can access to high quality pre-recorded training videos.

Course Curriculum

Python IDE
  • What is Python?
  • Installing Anaconda
  • Understanding the Spyder Integrated Development Environment (IDE)
Data Structures in Python Used for Data Analysis
  • Intro to Numpy Arrays
  • Creating ndarrays
  • Indexing
  • Data Processing using Arrays
  • File Input and Output
  • Getting Started with Pandas
Data Frame Manipulation
  • 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
Visualization
  • Line Plots
  • Bar Charts
  • Pie Charts
  • Histograms
  • Scatter Plots
  • Parallel Coordinates
Other Predictive Modelling Tools
  • Intro to Machine Learning
  • Intro to Sklearn Library and Statsmodels
Analytics using Python
    • Simple Regression Analysis
    • Multiple Regression
K Nearest Neighbours Algorithm for Classification with case study
        • 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
Naïve Bayes Algorithm for Multi Class Predictions with case study
        • 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
Support Vector Machines with case study
        • Understanding SVM
        • Concepts of Linearly seperable vs non seperable data
        • Build the Model
        • Training the Model
        • Testing and Validation
        • Tuning the Model
Basic Machine Learning
        • Decision Trees, Bagging
        • Random Forests, Boosted Trees

Course Description

About Course
  • 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.
  • Under this machine learning python course, we bring you at the core of teaching computers/machines to learn concepts using data – without necessarily programmed. The course initial valuable insights that you can master in machine learning and which are increasingly in demand across thousands of industries. Our machine learning courses excel you in every aspect of machine learning.
Why should you go for this course?
  • 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.
Who can attend this course?
  • 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
What are the prerequisites of the course?
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
Project during the Course
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.

Contact

+91 9513642100

Email

trainings@sfjbs.in

FAQ’s

What if I missed a session?

If you miss a lecture at SFJBS training there is 2 options to fill your gap: a) Will share you recorded videos of each class b) You can attend missed class with another batch.

Is there any placement assistance?

Yes! We have our own consultancy we can assist you after completing the course.

Can I attend a demo session before enrolment?

Yes! You can register for demo session before enrolment

Who are the instructors and how experienced they are?

SFJBS Training instructors are highly qualified industrial experienced trainers with more than 12+ years of experience; we will review every trainer before we take.

What if I have more queries?

Contact us our best supporting team through +919513642100 or email us on trainings@sfjbs.in we are glad to assist you.

How do I enrol for the online training?

To enrol in our website choose any of the following option to make online payment: • Debit card or credit card • Net Banking • PayPal

Do you provide a money back guarantee?

Yes! We give money back guarantee for 2 to 3 Hour session who paid full amount. Contact our support team and go through refund policy and submit request.

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Reviews

5 reviews for Machine Learning Course Using Python

  1. Rated 5 out of 5

    Shaya Devi

    Best place for result driven IoT & Machine Learning certification training.

  2. Rated 4 out of 5

    Shivgeeta

    The Trainer was excellent,Perfect platform learn new technologies.

  3. Rated 4 out of 5

    Umarkan

    I have attended Machine Learning online course . Excellent Coach and i Suggest everyone to experience at least once in SFJ Business Solutions.

  4. Rated 4 out of 5

    Bhimasankar

    Recently completed machine learning expert course.The trainer was awesome and He was very knowledgeable.

  5. Rated 5 out of 5

    SaiRatan

    Hello SFJ, I really thank you for providing me Career Services and genuinely working to help me succeed in my career.

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